[{"model": "img.layer", "pk": 348, "fields": {"div_id": "mapbox-bathymetry-v2", "name": "Bathymetry V2 (Mapbox)", "mouse_over": "mapbox-bathymetry-v2", "img_source": "BLOCK", "layer_type": "pbf", "layer_name": "mapbox-bathymetry-v2", "layer_url": "na", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.1", "line_width": 1, "api_key": null, "username": null, "switch_color": "white", "line_color": "black", "category": "Global", "sort_level": null, "description": "", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": "Mapbox Countries v1", "mb_url": "mapbox.mapbox-bathymetry-v2", "skytruth_notes": "mapbox.mapbox-bathymetry-v2", "default_step": "1", "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Mapbox", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 175, "fields": {"div_id": "earthquakes", "name": "Earthquakes", "mouse_over": "mag", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "earthquakes", "layer_url": "https://earthquake.usgs.gov/fdsnws/event/1/query?basicmagnitude=&minmagnitude=2.5&maxmagnitude=10&starttime={lastmonth}&endtime={now}&maxlatitude={north}&minlongitude={west}&maxlongitude={east}&minlatitude={south}&latitude=&longitude=&maxradiuskm=&mindepth=&maxdepth=&mingap=&maxgap=&reviewstatus=&eventtype=&minsig=&maxsig=&alertlevel=&minmmi=&maxmmi=&mincdi=&maxcdi=&minfelt=&catalog=&contributor=&producttype=&format=geojson&kmlcolorby=age&callback=&orderby=time&limit=&offset=", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": true, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "blue", "line_color": "blue", "category": "Global", "sort_level": null, "description": "Earthquake data provided by the USGS Earthquake Hazards Program of the U.S. Geological Survey (USGS), part of the National Earthquake Hazards Reduction Program (NEHRP).", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "Click Refresh after changing the magnitude or date range, or after moving the map.", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Earthquake Hazards Program of the U.S. Geological Survey (USGS)", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "USGS", "file_extension": null, "prompts": "{\"prompts\":[{\"prompt\":\"mag\",\"type\":\"sliders\",\"begin\":0.1,\"end\":10,\"default\":[2.5,10],\"step\":0.1,\"replace\":[\"minmagnitude\",\"maxmagnitude\"],\"title\":\"Magnitude\"},{\"prompt\":\"dates\",\"type\":\"dates\",\"numdays\":30,\"replace\":[\"starttime\",\"endtime\"],\"title\":\"Date Range\",\"range\":[\"2010-01-01\",\"today\"],\"default\":[\"lastmonth\",\"today\"],\"operands\":[\">=\",\"<=\"]}]}", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 224, "fields": {"div_id": "WORLDCOVER_2020_MAP", "name": "ESA World Cover 2020", "mouse_over": null, "img_source": "GRADIENT", "layer_type": "ee", "layer_name": "world_cover_2020", "layer_url": "NA", "layer_file": "world_cover_2020", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "greenBlueRedGradient", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of the ESA WorldCover project, part of the 5th Earth Observation Envelope Programme (EOEP-5) of the European Space Agency.
Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. (doi:10.5281/zenodo.5571936)", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "© ESA WorldCover project 2020 / Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": "Tree Cover,#006400,Shrubland,#ffbb22, Grassland,#ffff4c,Cropland,#f096ff,Built-up,#fa0000,Bare / sparse vegetation,#b4b4b4,Snow and Ice,#f0f0f0,Permanent water bodies,#0064c8,Herbaceous wetland,#0096a0,Mangroves,#00cf75,Moss and lichen,#fae6a0", "attribution": "ESA", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 426, "fields": {"div_id": "WORLDCOVER_2021_MAP", "name": "ESA World Cover 2021", "mouse_over": null, "img_source": "GRADIENT", "layer_type": "ee", "layer_name": "world_cover_2021", "layer_url": "NA", "layer_file": "world_cover_2021", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "greenBlueRedGradient", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "The European Space Agency (ESA) WorldCover 10 m 2021 product provides a global land cover map for 2021 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of the ESA WorldCover project, part of the 5th Earth Observation Envelope Programme (EOEP-5) of the European Space Agency.\r\n
Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. (doi:10.5281/zenodo.5571936)", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": "Tree Cover,#006400,Shrubland,#ffbb22, Grassland,#ffff4c,Cropland,#f096ff,Built-up,#fa0000,Bare / sparse vegetation,#b4b4b4,Snow and Ice,#f0f0f0,Permanent water bodies,#0064c8,Herbaceous wetland,#0096a0,Mangroves,#00cf75,Moss and lichen,#fae6a0", "attribution": "ESA", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 417, "fields": {"div_id": "eez_mapbox_buffered", "name": "Exclusive Economic Zones (EEZs) V11", "mouse_over": "UNION", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "Exclusive Economic Zones V11", "layer_url": "https://storage.googleapis.com/alerts-storage/layers/world_eez_v11_buffered.geojson", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.1", "line_width": 1, "api_key": null, "username": null, "switch_color": "green", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "Maritime Boundaries Geodatabase: Exclusive Economic Zones (200NM), version 11
\r\nThis dataset builds on previous versions of the world's EEZ. In version 9, the 200 nautical miles outer limit was completely recalculated using a higher resolution coastline as a normal baseline (ESRI Countries 2014) and straight baselines, where available.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Flanders Marine Institute (2019). Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM), version 11. Available online at https://www.marineregions.org/. https://doi.org/10.14284/386", "default_step": "1", "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": null, "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 350, "fields": {"div_id": "GEBCO", "name": "GEBCO", "mouse_over": null, "img_source": "BLOCK", "layer_type": "wms", "layer_name": "GEBCO", "layer_url": "https://wms.gebco.net/2023/mapserv?LAYERS=gebco_2023", "layer_file": "GEBCO", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "GEBCO is an acronym for the General Bathymetric Chart of the Oceans. We are an international group of geoscientists and hydrographers who work on the development of a range of bathymetric data sets and data products. GEBCO operates under the joint auspices of the Intergovernmental Oceanographic Commission (IOC) (of UNESCO) and the International Hydrographic Organization (IHO).\r\n
\r\nThis is the 2023 version of GEBCO’s gridded bathymetric data set, a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid.\r\n
\r\nThis release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "GEBCO", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 148, "fields": {"div_id": "gppd", "name": "Global Power Plant Database (June 2021)", "mouse_over": "primary_fuel", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Global Power Plant Database (June 2021)", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/global_power_plant_database.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "green", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 35,000 power plants from 167 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar).\r\n
\r\nGlobal Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2021. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database.", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "WRI", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 256, "fields": {"div_id": "io-s2-10m", "name": "Impact Observatory LULC 10m 2017-2023", "mouse_over": null, "img_source": "GRADIENT", "layer_type": "wms", "layer_name": "Impact Observatory LULC 10m 2017-2023", "layer_url": "https://ic.imagery1.arcgis.com/arcgis/rest/services/Sentinel2_10m_LandCover/ImageServer/exportImage?&bboxSR=3857&size=&imageSR=3857&format=jpgpng&pixelType=U16&noData=&noDataInterpretation=esriNoDataMatchAny&interpolation=+RSP_BilinearInterpolation&compression=&compressionQuality=&bandIds=&mosaicRule=&renderingRule=&f=image&adjustAspectRatio=true&validateExtent=false&lercVersion=1&compressionTolerance=&f=image&time=${time},${time}", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "greenBlueRedGradient", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "Updated 04/10/2024.
This layer displays a global map of land use/land cover (LULC) derived from ESA Sentinel-2 imagery at 10m resolution. Each year is generated from Impact Observatory’s deep learning AI land classification model used a massive training dataset of billions of human-labeled image pixels developed by the National Geographic Society. The global maps were produced by applying this model to the Sentinel-2 scene collection on Microsoft’s Planetary Computer, processing over 400,000 Earth observations per year.\r\n
\r\nhttps://www.arcgis.com/home/item.html?id=cfcb7609de5f478eb7666240902d4d3d", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": "No Data,#FFFFFF,Water,#1a5bab,Trees,#358221,Flooded Vegetation,#87D19E,Crops,#FFDB5C,Built Area,#ed022a,Bare Ground,#EDE9E4,Snow/Ice,#F2FAFF,Clouds,#C8C8C8,Rangeland,#EFCFA8", "attribution": "Impact Observatory", "file_extension": null, "prompts": "{\"prompts\":[{\"type\":\"list\",\"prompt\":\"year\",\"title\":\"Year\",\"begin\":1483272000000,\"end\":1672574400000,\"marks\":\"{'1483272000000':'2017','1514808000000':'2018','1546344000000':'2019','1577880000000':'2020','1609502400000':'2021','1641038400000':'2022','1672574400000':'2023'}\",\"default\":1672574400000,\"replace\":\"time\"}]}", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 139, "fields": {"div_id": "mapbox-streets-v8", "name": "Mapbox Streets V8 (Building footprints)", "mouse_over": "layerName", "img_source": "LINE", "layer_type": "pbf", "layer_name": "Mapbox Streets V8", "layer_url": "na", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#000000", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "The Mapbox Streets v8 tileset includes geometries and metadata for roadways, terrain, administrative boundaries, building footprints, land use classifications, rail stations, points of interest, and more.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": "mapbox.mapbox-streets-v8", "skytruth_notes": "© Mapbox © OpenStreetMap Improve this map", "default_step": "1", "big_data": false, "style_item": null, "fill_shapes": false, "key_image": null, "attribution": "Mapbox", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 4}}, {"model": "img.layer", "pk": 9999, "fields": {"div_id": "labels", "name": "Map Labels", "mouse_over": null, "img_source": "LINE", "layer_type": "tile", "layer_name": "maplabels", "layer_url": "https://mt1.google.com/vt/lyrs=h&x={x}&y={y}&z={z}", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "black", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "Map labels and street names from Google.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": null, "file_extension": "png", "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 307, "fields": {"div_id": "tailings_dams", "name": "Tailings Dams", "mouse_over": "mine", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Tailings Dams", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/tailings_dams_2021_march.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "This tailings dam dataset has been developed based on responses from the “Investor Mining and Tailings Safety Initiative” launched by The Church of England Pensions Board and The Council on Ethics of the Swedish National Pension Funds.\r\n
\r\n\r\nThis is a subset of the dataset available at https://tailing.grida.no/.\r\n
\r\n\r\nThe Global Tailings Portal, launched in January 2020, is a free, searchable database with detailed information on more than 1,800 mine tailings dams around the world. It enables users to sort data about tailings dams by location, company, dam type, height, volume, and risk, among other factors. The data was submitted by more than 100 of the world’s largest mining companies, in response to requests from institutional investors. Previously, very little information about mine tailings dams was publicly available. The portal is designed to be used by governments, scientists, the finance community, the mining industry, media, and civil society.\r\n
", "filter": "feature.getProperty(\"INSTALL_DA\") !== null && feature.getProperty(\"REMOVAL_DA\") === null", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Global Tailings Portal", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 325, "fields": {"div_id": "usgs_imagery", "name": "USGS Imagery Only", "mouse_over": null, "img_source": "BLOCK", "layer_type": "tile", "layer_name": "naip", "layer_url": "https://basemap.nationalmap.gov/ArcGIS/rest/services/USGSImageryOnly/MapServer/tile/{z}/{y}/{x}", "layer_file": "zyx", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#BB8FCE", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "USGS Imagery Only is a base map service of orthoimagery in The National Map visible to the 1:9,028 zoom scale. Orthoimagery data are typically high resolution aerial images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation and Landsat imagery data sources are displayed at small to medium scales, however, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1 meter pixel resolution collected with \"leaf-on\" conditions. Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. For Alaska, 10-meter resolution SPOT imagery is provided for viewing.\r\n\r\nSee: https://www.sciencebase.gov/catalog/item/581d0520e4b08da350d523fc", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "USGS The National Map: Orthoimagery. Data refreshed December, 2021.", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "USGS", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 324, "fields": {"div_id": "naip", "name": "USGS Imagery + Topo", "mouse_over": null, "img_source": "BLOCK", "layer_type": "tile", "layer_name": "naip", "layer_url": "https://basemap.nationalmap.gov/arcgis/rest/services/USGSImageryTopo/MapServer/tile/{z}/{y}/{x}", "layer_file": "zyx", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#BB8FCE", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "USGS Imagery Only is a base map service of orthoimagery in The National Map visible to the 1:9,028 zoom scale. Orthoimagery data are typically high resolution aerial images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation and Landsat imagery data sources are displayed at small to medium scales, however, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1 meter pixel resolution collected with \"leaf-on\" conditions. Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. For Alaska, 10-meter resolution SPOT imagery is provided for viewing.\r\n\r\nSee: https://www.sciencebase.gov/catalog/item/544172b0e4b0b0a643c73c61", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "USGS The National Map: Orthoimagery. Data refreshed December, 2021.", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "USGS", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 131, "fields": {"div_id": "wdpa", "name": "World Database of Protected Areas", "mouse_over": null, "img_source": "BLOCK", "layer_type": "ee", "layer_name": "World Database of Protected Areas", "layer_url": "NA", "layer_file": "EESINGLE", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "green", "line_color": "#2693e6", "category": "Global", "sort_level": null, "description": "UNEP-WCMC and IUCN (2020), Protected Planet: The World Database on Protected Areas (WDPA), December, 2020, Cambridge, UK: UNEP-WCMC and IUCN Available at: www.protectedplanet.net/en.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "Double-click on a protected area to see details", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "#004da8\r\n#3cab05\r\n2ed033\r\n#3775b7", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": "0.00 - 258333 km2,#2ed033,258333 - 516666k m2,#5aff05,516666 - 775000 km2,#67b9ff,775000 - 1033333 km2,#5844ff,1033333 - 1291666 km2,#0a7618,1291666 - 1550000 km2,#2c05ff", "attribution": "Protected Planet", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 218, "fields": {"div_id": "gfw-glad", "name": "GFW's GLAD Alerts (Sentinel-2 based)", "mouse_over": null, "img_source": "BLOCK", "layer_type": "tile", "layer_name": "gfw-glad", "layer_url": "https://tiles.globalforestwatch.org/umd_glad_sentinel2_alerts/latest/dynamic/{z}/{x}/{y}.png?start_date=${startdate}&end_date=${enddate}&confirmed_only=${confirmed}", "layer_file": "zyx", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#BB8FCE", "line_color": "#2693e6", "category": "Land Cover/Change", "sort_level": null, "description": "Loss of primary forest is mapped in near-real time at 10m resolution using Sentinel-2 multispectral data. Cloud, shadow, water are detected in each new Sentinel-2 image and a forest loss algorithm is applied to all remaining clear land observations.\r\n
For zoom levels 0-9, we generate static tiles for speed, since that’s the scale most people view them at in Global Forest Watch. For zoom levels 9+, we dynamically generate the tiles when you request them, so these may load a little slower. However, after generating them the first time, we cache them for a couple hours, so they should load faster on subsequent uses.\r\n
\r\nSource: Hansen/UMD/Google/USGS/NASA", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "May take up to 1 minute to load or refresh", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Global Forest Watch", "file_extension": null, "prompts": "{\"prompts\":[{\"prompt\":\"dates\",\"type\":\"dates\",\"numdays\":30,\"replace\":[\"startdate\",\"enddate\"],\"operands\":[\">=\",\"<=\"],\"title\":\"Date Range\",\"default\":[\"lastmonth\",\"today\"]}, {\"prompt\":\"confirmed\",\"type\":\"checkbox\",\"replace\":\"confirmed\",\"title\":\"Confirmed Only\",\"default\":false}]}", "timeline": false, "include_refresh": true, "run_on_init": false, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 217, "fields": {"div_id": "gfw-radd", "name": "GFW's RADD Alerts", "mouse_over": null, "img_source": "BLOCK", "layer_type": "tile", "layer_name": "forestLoss", "layer_url": "https://tiles.globalforestwatch.org/wur_radd_alerts/latest/dynamic/{z}/{x}/{y}.png?start_date=${startdate}&end_date=${enddate}&confirmed_only=${confirmed}", "layer_file": "xyz", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#BB8FCE", "line_color": "#2693e6", "category": "Land Cover/Change", "sort_level": null, "description": "\r\nRADD (RAdar for Detecting Deforestation) is a deforestation alert product that uses data from the European Space Agency’s Sentinel-1 satellites to detect forest disturbances in near real-time and to confirm alerts within weeks. The RADD (RAdar for Detecting Deforestation) alerts use a detection methodology produced by Wageningen University and Research (WUR), Laboratory of Geo-information Science and Remote Sensing. These alerts are particularly advantageous in monitoring tropical forests, as Sentinel-1’s cloud-penetrating radar and frequent revisit times (6-12 days) allow for more consistent monitoring than alert products based on optical satellite images. Alerts are available for the primary humid tropical forest areas of sub-Saharan Africa and insular Southeast Asia at a 10m spatial resolution, with coverage from January 2019 to the present for Africa and January 2020 to the present for Southeast Asia.\r\n
\r\nSource: Reiche, J., Mullissa, A., Slagter, B., Gou, Y., Tsendbazar, N.E., Braun, C., Vollrath, A., Weisse, M.J., Stolle, F., Pickens, A., Donchyts, G., Clinton, N., Gorelick, N., Herold, M. 2021. Forest disturbance alerts for the Congo Basin using Sentinel-1. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abd0a8\r\n
", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "May take up to 1 minute to load or refresh", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "This was replace by 219, which uses the alerts server as a map proxy to get around the CORS issue in html2canvas.", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Global Forest Watch", "file_extension": null, "prompts": "{\"prompts\":[{\"prompt\":\"dates\",\"type\":\"dates\",\"numdays\":30,\"replace\":[\"startdate\",\"enddate\"],\"operands\":[\">=\",\"<=\"],\"title\":\"Date Range\",\"default\":[\"lastmonth\",\"today\"]}, {\"prompt\":\"confirmed\",\"type\":\"checkbox\",\"replace\":\"confirmed\",\"title\":\"Confirmed Only\",\"default\":false}]}", "timeline": false, "include_refresh": true, "run_on_init": false, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 158, "fields": {"div_id": "forestLoss2022", "name": "Tree Cover Loss (2000-2023)", "mouse_over": null, "img_source": "GRADIENT", "layer_type": "ee", "layer_name": "Tree Cover Loss", "layer_url": "NA", "layer_file": "FORESTLOSS2021", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "redYellowGradient", "line_color": "#2693e6", "category": "Land Cover/Change", "sort_level": null, "description": "Last updated: 04/04/2024 added 2023
Results from time-series analysis of Landsat images in characterizing global forest extent and change. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013) at https://science.sciencemag.org/content/342/6160/850.\r\n
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\r\nAvailable 2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, 2021. The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system. NLCD represents the latest evolution of NLCD land cover products focused on providing innovative land cover and land cover change data for the Nation.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "{\"prompts\":[{\"type\":\"list\",\"prompt\":\"year\",\"title\":\"Year\",\"begin\":2001,\"end\":2019,\"marks\":\"{'2001':'2001','2004':'2004','2006':'2006','2008':'2008','2011':'2011','2013':'2013','2016':'2016','2019':'2019','2021':'2021'}\",\"fields\":{\"type\":\"list\",\"default\":2021,\"replace\":\"year\"}}]}\r\n\r\nmrlc_display%3ANLCD_2016_Land_Cover_L48\r\n\r\nNLCD_2019_Land_Cover_L48/\r\nNLCD_${year}_Land_Cover_L48\r\n\r\n{\"prompts\":[{\"prompt\":\"year\",\"title\":\"Year\",\"begin\":2001,\"end\":2019,\"step\":1,\"fields\":{\"type\":\"slider\",\"default\":2020,\"replace\":\"year\"}}]}\r\n\r\nmarks={{\r\n 1250: '1,25T.',\r\n 25000: '25T.',\r\n 50000: '50T.',\r\n 100000: '100T.',\r\n 150000: '150T.',\r\n 250000: '250T.',\r\n }}", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": "/images/NLCD_2016_CONUS_Land_Cover.png", "attribution": "MRLC", "file_extension": null, "prompts": "{\"prompts\":[{\"type\":\"list\",\"prompt\":\"year\",\"title\":\"Year\",\"begin\":2001,\"end\":2021,\"marks\":\"{'2001':'01','2004':'04','2006':'06','2008':'08','2011':'11','2013':'13','2016':'16','2019':'19','2021':'21'}\",\"type\":\"list\",\"default\":2021,\"replace\":\"year\"}]}", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 250, "fields": {"div_id": "brazil-offshore-platforms", "name": "Brazil Active Offshore Oil Platforms", "mouse_over": "Nome", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Brazil Active Offshore Oil Platforms", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/dados-abertos-plataformas-operacao.geojson", "layer_marker": "/images/mapLayerIcons/icons8-filled-circle-16.png", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "List of offshore storage platforms in operation in Brazil. From https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/lista-de-plataformas-em-operacao. Downloaded 4/7/2022.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Old: https://storage.googleapis.com/alerts-storage/layers/dados-abertos-ueps-operacao.GeoJSON", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Brazil Gov/", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 364, "fields": {"div_id": "MODU", "name": "Mobile Offshore Drilling Units (MODU)", "mouse_over": "name", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "MODU", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/MODU.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.9", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "red", "category": "Oil & Gas (Global)", "sort_level": null, "description": "Mobile Offshore Drilling Units, or MODU, are facilities designed or modified to engage in drilling and exploration activities. The term MODU includes drilling vessels, semisubmersibles, submersibles, jack-ups, and similar facilities that can be moved without substantial effort. These facilities may or may not have self-propulsion equipment on board and may require dynamic positioning equipment or mooring systems to maintain their position.\r\n
Downloaded from https://msi.nga.mil/MODU on June 20, 2023.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "MODU", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 165, "fields": {"div_id": "netl-basins", "name": "NETL Oil & Gas Basins", "mouse_over": "Facility_N", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "netl-basins", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_basins.geojson", "layer_marker": "/images/mapLayerIcons/red.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "orange", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 164, "fields": {"div_id": "netl-fields", "name": "NETL Oil & Gas Fields", "mouse_over": "Facility_N", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "netl-fields", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_fields.geojson", "layer_marker": "/images/mapLayerIcons/red.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 163, "fields": {"div_id": "netl-mines", "name": "NETL Oil & Gas Mines", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-mines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_mines.geojson", "layer_marker": "/images/mapLayerIcons/blue.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "blue", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 169, "fields": {"div_id": "netl-pipelines", "name": "NETL Oil & Gas Pipelines", "mouse_over": "Facility_N", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "netl-pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_pipelines.geojson", "layer_marker": "/images/mapLayerIcons/marker-pink.png", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "pink", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 160, "fields": {"div_id": "netl-platforms-well-pads", "name": "NETL Oil & Gas Platforms & Well Templates", "mouse_over": "Operator", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-platforms-well-pads", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_platforms_and_well_pads.geojson", "layer_marker": "/images/mapLayerIcons/red.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "navy", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 170, "fields": {"div_id": "netl-ports", "name": "NETL Oil & Gas Ports", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-ports", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_ports.geojson", "layer_marker": "/images/mapLayerIcons/marker-pink.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "pink", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 168, "fields": {"div_id": "netl-processing-plants", "name": "NETL Oil & Gas Processing Plants", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-processing-plants", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_processing_plants.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "salmon", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 161, "fields": {"div_id": "netl-railways", "name": "NETL Oil & Gas Railways", "mouse_over": "Facility_N", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "netl-railways", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_railways.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "gold", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 166, "fields": {"div_id": "netl-stations", "name": "NETL Oil & Gas Stations", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-stations", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_stations.geojson", "layer_marker": "/images/mapLayerIcons/black.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "brown", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 167, "fields": {"div_id": "netl-storage", "name": "NETL Oil & Gas Storage", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-storage", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_stations.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 162, "fields": {"div_id": "netl-well", "name": "NETL Oil & Gas Wells", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-wells", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_wells.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "green", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 171, "fields": {"div_id": "netl-underground-storage", "name": "NETL Oil & Underground Storage", "mouse_over": "Facility_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "netl-underground-storage", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/NETL_underground_storage.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "lime", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From the National Entergy Technology Lab (https://edx.netl.doe.gov/dataset/global-oil-gas-features-database). An Open Global Oil and Gas Infrastructure Inventory and Geodatabase. This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NETL", "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 209, "fields": {"div_id": "pacific_pipelines", "name": "Pacific Pipelines (BOEM)", "mouse_over": "SDE_COMPAN", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "Pacific Pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/pacific_pipelines.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From BOEM.gov. Contains the points and arcs of pipeline in the Pacific. Source: \"Offshore oil and gas pipelines\" from this page https://www.boem.gov/oil-gas-energy/mapping-and-data/pacific-cadastral-data. Last downloaded October 3, 2021.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "BOEM", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 210, "fields": {"div_id": "pacific_platforms", "name": "Pacific Platforms (BOEM )", "mouse_over": "PLATFORM_N", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Pacific Platforms (BOEM 2011)", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/pacific_platforms.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From BOEM.gov. Identifies the location of platforms in the Pacific. Source: \"Offshore oil and gas platforms\" from this page https://www.boem.gov/oil-gas-energy/mapping-and-data/pacific-cadastral-data. Last downloaded October 3, 2021.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "BOEM", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 211, "fields": {"div_id": "pacific_wells", "name": "Pacific Wells (BOEM )", "mouse_over": "COMPANY_NA", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Pacific Wells (BOEM 2012)", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/pacific_wells.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "#2693e6", "category": "Oil & Gas (Global)", "sort_level": null, "description": "From BOEM.gov. Identifies the location of wells in the Pacific. Source: \"Offshore oil and gas wells\" from this page https://www.boem.gov/oil-gas-energy/mapping-and-data/pacific-cadastral-data. Last downloaded October 3, 2021.", "filter": "feature.getProperty(\"INSTALL_DA\") !== null && feature.getProperty(\"REMOVAL_DA\") === null", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "content = content + 'SDE Company: ' + event.feature.getProperty('SDE_COMPAN') + \"
\" + 'Installed:' + event.feature.getProperty('INSTALL_DA') + \"
Removed:\" + event.feature.getProperty('REMOVAL_DA') + \"
Number:\" + event.feature.getProperty('STR_NUMBER') + \"
Name:\" + event.feature.getProperty('STR_NAME');", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "BOEM", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 331, "fields": {"div_id": "fractracker_national", "name": "Fractracker: US Oil & Gas Wells", "mouse_over": "name", "img_source": "CIRCLE", "layer_type": "postgis", "layer_name": "fractracker_national", "layer_url": "NA", "layer_file": "fractracker_national", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "state", "status": "active", "columns": "state,name,operator,status,type", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "red", "line_color": "gray", "category": "Oil & Gas (US)", "sort_level": null, "description": "The U.S. Oil & Gas Wells dataset is provided by the FracTracker Alliance. See: www.fractracker.org/. The dataset was downloaded from https://app.box.com/s/h2dnw9flxrx1by9fie03uk5s87nd28nw", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Calls ST api: getpostgismvt\r\nstate,name,operator,status", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "U.S. Oil & Gas Wells. March 2023. Provided by The FracTracker Alliance on FracTracker.org.", "file_extension": null, "prompts": "{\"prompts\":[{\"type\":\"singleselect\",\"prompt\":\"lc\",\"title\":\"Select State\", \"options\":[{\r\n \"label\": \"Alabama\",\r\n \"value\": \"AL\"\r\n },\r\n {\r\n \"label\": \"Alaska\",\r\n \"value\": \"AK\"\r\n },\r\n {\r\n \"label\": \"American Samoa\",\r\n \"value\": \"AS\"\r\n },\r\n {\r\n \"label\": \"Arizona\",\r\n \"value\": \"AZ\"\r\n },\r\n {\r\n \"label\": \"Arkansas\",\r\n \"value\": \"AR\"\r\n },\r\n {\r\n \"label\": \"California\",\r\n \"value\": \"CA\"\r\n },\r\n {\r\n \"label\": \"Colorado\",\r\n \"value\": \"CO\"\r\n },\r\n {\r\n \"label\": \"Connecticut\",\r\n \"value\": \"CT\"\r\n },\r\n {\r\n \"label\": \"Delaware\",\r\n \"value\": \"DE\"\r\n },\r\n {\r\n \"label\": \"District Of Columbia\",\r\n \"value\": \"DC\"\r\n },\r\n {\r\n \"label\": \"Federated States Of Micronesia\",\r\n \"value\": \"FM\"\r\n },\r\n {\r\n \"label\": \"Florida\",\r\n \"value\": \"FL\"\r\n },\r\n {\r\n \"label\": \"Georgia\",\r\n \"value\": \"GA\"\r\n },\r\n {\r\n \"label\": \"Guam\",\r\n \"value\": \"GU\"\r\n },\r\n {\r\n \"label\": \"Hawaii\",\r\n \"value\": \"HI\"\r\n },\r\n {\r\n \"label\": \"Idaho\",\r\n \"value\": \"ID\"\r\n },\r\n {\r\n \"label\": \"Illinois\",\r\n \"value\": \"IL\"\r\n },\r\n {\r\n \"label\": \"Indiana\",\r\n \"value\": \"IN\"\r\n },\r\n {\r\n \"label\": \"Iowa\",\r\n \"value\": \"IA\"\r\n },\r\n {\r\n \"label\": \"Kansas\",\r\n \"value\": \"KS\"\r\n },\r\n {\r\n \"label\": \"Kentucky\",\r\n \"value\": \"KY\"\r\n },\r\n {\r\n \"label\": \"Louisiana\",\r\n \"value\": \"LA\"\r\n },\r\n {\r\n \"label\": \"Maine\",\r\n \"value\": \"ME\"\r\n },\r\n {\r\n \"label\": \"Marshall Islands\",\r\n \"value\": \"MH\"\r\n },\r\n {\r\n \"label\": \"Maryland\",\r\n \"value\": \"MD\"\r\n },\r\n {\r\n \"label\": \"Massachusetts\",\r\n \"value\": \"MA\"\r\n },\r\n {\r\n \"label\": \"Michigan\",\r\n \"value\": \"MI\"\r\n },\r\n {\r\n \"label\": \"Minnesota\",\r\n \"value\": \"MN\"\r\n },\r\n {\r\n \"label\": \"Mississippi\",\r\n \"value\": \"MS\"\r\n },\r\n {\r\n \"label\": \"Missouri\",\r\n \"value\": \"MO\"\r\n },\r\n {\r\n \"label\": \"Montana\",\r\n \"value\": \"MT\"\r\n },\r\n {\r\n \"label\": \"Nebraska\",\r\n \"value\": \"NE\"\r\n },\r\n {\r\n \"label\": \"Nevada\",\r\n \"value\": \"NV\"\r\n },\r\n {\r\n \"label\": \"New Hampshire\",\r\n \"value\": \"NH\"\r\n },\r\n {\r\n \"label\": \"New Jersey\",\r\n \"value\": \"NJ\"\r\n },\r\n {\r\n \"label\": \"New Mexico\",\r\n \"value\": \"NM\"\r\n },\r\n {\r\n \"label\": \"New York\",\r\n \"value\": \"NY\"\r\n },\r\n {\r\n \"label\": \"North Carolina\",\r\n \"value\": \"NC\"\r\n },\r\n {\r\n \"label\": \"North Dakota\",\r\n \"value\": \"ND\"\r\n },\r\n {\r\n \"label\": \"Northern Mariana Islands\",\r\n \"value\": \"MP\"\r\n },\r\n {\r\n \"label\": \"Ohio\",\r\n \"value\": \"OH\"\r\n },\r\n {\r\n \"label\": \"Oklahoma\",\r\n \"value\": \"OK\"\r\n },\r\n {\r\n \"label\": \"Oregon\",\r\n \"value\": \"OR\"\r\n },\r\n {\r\n \"label\": \"Palau\",\r\n \"value\": \"PW\"\r\n },\r\n {\r\n \"label\": \"Pennsylvania\",\r\n \"value\": \"PA\"\r\n },\r\n {\r\n \"label\": \"Puerto Rico\",\r\n \"value\": \"PR\"\r\n },\r\n {\r\n \"label\": \"Rhode Island\",\r\n \"value\": \"RI\"\r\n },\r\n {\r\n \"label\": \"South Carolina\",\r\n \"value\": \"SC\"\r\n },\r\n {\r\n \"label\": \"South Dakota\",\r\n \"value\": \"SD\"\r\n },\r\n {\r\n \"label\": \"Tennessee\",\r\n \"value\": \"TN\"\r\n },\r\n {\r\n \"label\": \"Texas\",\r\n \"value\": \"TX\"\r\n },\r\n {\r\n \"label\": \"Utah\",\r\n \"value\": \"UT\"\r\n },\r\n {\r\n \"label\": \"Vermont\",\r\n \"value\": \"VT\"\r\n },\r\n {\r\n \"label\": \"Virgin Islands\",\r\n \"value\": \"VI\"\r\n },\r\n {\r\n \"label\": \"Virginia\",\r\n \"value\": \"VA\"\r\n },\r\n {\r\n \"label\": \"Washington\",\r\n \"value\": \"WA\"\r\n },\r\n {\r\n \"label\": \"West Virginia\",\r\n \"value\": \"WV\"\r\n },\r\n {\r\n \"label\": \"Wisconsin\",\r\n \"value\": \"WI\"\r\n },\r\n {\r\n \"label\": \"Wyoming\",\r\n \"value\": \"WY\"\r\n }], \"placeholder\":\"Select state\",\"replace\":\"state\",\"default\":{\"value\":\"\",\"label\":\"Select State\"}}\r\n ]}", "timeline": false, "include_refresh": false, "run_on_init": false, "select_on_click": true, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 153, "fields": {"div_id": "seep-sites", "name": "GoM Seep Sites", "mouse_over": "Qty", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "seep-sites", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/seep_sites_updated_jun2011.GeoJSON", "layer_marker": "/images/mapLayerIcons/red.png", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "blue", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "Locations of known natural oil and gas seeps on the seafloor of the Gulf of Mexico, compiled from satellite and field observations by researchers at Texas A&M University and Florida State University.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": null, "file_extension": null, "prompts": null, "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 206, "fields": {"div_id": "gom_pipelines", "name": "Gulf of Mexico Pipelines (2024)", "mouse_over": "SDE_COMPAN", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "GOM Pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/boem_pipelines_2024.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 3, "api_key": null, "username": null, "switch_color": "orange", "line_color": "orange", "category": "Oil & Gas (US)", "sort_level": null, "description": "From BOEM.gov. Contains the points and arcs of all GOM pipelines. Last downloaded 3/4/2024.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "2024-08-21 went from multiselect to singleselect", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "BOEM.gov", "file_extension": null, "prompts": "{\"prompts\":[{\"prompt\":\"status\",\"title\":\"Pipeline Status\",\"type\":\"singleselect\",\"default\":{\"value\":\"ACT\",\"label\":\"Active\"},\"multiple\":true,\"options\":[{\"value\":\"A/C\",\"label\":\"Abandoned and combined\"},{\"value\":\"ABN\",\"label\":\"Abandoned\"},{\"value\":\"ACT\",\"label\":\"Active\"},{\"value\":\"COMB\",\"label\":\"Combined\"},{\"value\":\"CNCL\",\"label\":\"Canceled\"},{\"value\":\"OUT\",\"label\":\"Out of service\"},{\"value\":\"PABN\",\"label\":\"Propose Abandonment\"},{\"value\":\"PREM\",\"label\":\"Propose Removal\"},{\"value\":\"PROP\",\"label\":\"Proposed\"},{\"value\":\"REM\",\"label\":\"Removed\"} ],\"replace\":\"STATUS_COD\" }]}", "timeline": false, "include_refresh": true, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 13, "fields": {"div_id": "gom_platforms", "name": "Gulf of Mexico Platforms (2024)", "mouse_over": "COMPLEX_ID", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "Gulf of Mexico Platforms", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/boem_platforms_2024.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "From BOEM.gov. Identifies the location of platforms in GOM, included those that have been closed. Last downloaded 03/04/2024.", "filter": "feature.getProperty(\"INSTALL_DA\") !== null && feature.getProperty(\"REMOVAL_DA\") === null", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "BOEM.gov", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 7, "fields": {"div_id": "crudeoil_pipelines", "name": "U.S. Crude oil pipelines", "mouse_over": "Pipename", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "crudeoil_pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/Crude_Oil_Pipelines.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "navy", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "Crude oil pipelines (US). Downloaded from the US Energy Atlas (https://atlas.eia.gov/). Last update Sep 18, 2021.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "https://storage.googleapis.com/alerts-storage/layers/Crude_Oil_Pipelines.geojson", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "The US Energy Atlas (https://atlas.eia.gov/)", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": true, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 8, "fields": {"div_id": "naturalgas_pipelines", "name": "U.S. Natural Gas Pipelines", "mouse_over": "Operator", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "Natural Gas Pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/Natural_Gas_Interstate_and_Intrastate_Pipelines.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "green", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "The major natural gas transmission pipelines in the U.S. including interstate, intrastate, and gathering pipelines.These data were compiled by the U.S. Energy Information Administration. Last updated October 21, 2020. Downloaded June 19, 2023.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "U.S. Energy Information Administration", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 303, "fields": {"div_id": "pipeline_routes", "name": "U.S.Oil & Gas Watch Pipeline Rtes (10/25/2023)", "mouse_over": "name", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "pipeline_routes", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/pipeline_routes_2024-03-06.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "red", "line_color": "red", "category": "Oil & Gas (US)", "sort_level": null, "description": "These pipeline routes -- updated 10/25/2023 -- come from Oil & Gas Watch. Routes are an ongoing collaborative effort between Fractracker Alliance, Healthy Gulf, and the Environmental Integrity Project. These routes supplement the information and records on the Oil and Gas Watch database and help visualize the connectivity between various oil and gas infrastructure projects. Oil and Gas Watch is focused on highlighting new and proposed pipelines and expansion projects, and does not feature all existing pipelines.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "Old: https://storage.googleapis.com/alerts-storage/layers/pipeline_routes_2023_06_23.geojson", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Oil & Gas Watch", "file_extension": null, "prompts": "{\"prompts\":[{\"prompt\":\"status\",\"title\":\"Status\",\"fields\":{\"type\":\"select\",\"multiple\":true,\"options\":[{\"value\":\"A/C\",\"label\":\"Abandoned and combined\"},{\"value\":\"ABN\",\"label\":\"Abandoned\"},{\"value\":\"ACT\",\"label\":\"Active\"}],\"replace\":\"STATUS_COD\",\"default\":{\"label\": \"Active\", \"value\": \"ACT\"} }}]}", "timeline": false, "include_refresh": true, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 323, "fields": {"div_id": "orphaned_wells", "name": "US Orphaned Wells", "mouse_over": "Well_name", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "US Orphaned Wells", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/geojson/us_orphaned_wells.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "\r\nPublication Date: 2022-08-22\r\nStart Date: 2019-07-01\r\nEnd Date: 2022-06-02\r\n
\r\n\r\nThe United States Documented Unplugged Orphaned Oil and Gas Well Dataset contains 117,672 wells in 27 states. The definition of an orphaned oil or gas well varies across data sources; the dataset includes oil or gas wells where the state indicates that the well is an unplugged orphan, or the following criteria are met: 1) no production for an average of 12 months (6 to 24 months depending on the state), 2) the well is unplugged, 3) there is no responsible party to manage the well for future re-use or for plugging and abandonment, and 4) the location of the well is documented. The dataset includes location coordinates, American Petroleum Institute (API) number, or other identification number, well type, well status, and additional information for each unplugged orphaned well. All data were collected by direct requests to the respective state agency overseeing oil and gas wells or data downloads from their online databases. Location format conversion was performed on wells without coordinate locations using tools provided by the Bureau of Land Management and some state agencies. No other data manipulations were performed to the source data aside from reformatting or the addition of explanatory notes.\r\n
", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "USGS", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 9, "fields": {"div_id": "petroleum_products_pipelines", "name": "U.S. Petroleum Products Pipelines", "mouse_over": "Pipename", "img_source": "LINE", "layer_type": "deckgl", "layer_name": "Petroleum Products Pipelines", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/petroleum_products_pipelines.geojson", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 2, "api_key": null, "username": null, "switch_color": "orange", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "This feature layer, utilizing data from the Energy Information Administration (EIA), displays major petroleum pipelines in the United States. Per Pipeline 101, \"Refined product pipelines carry refined petroleum products like gasoline, jet fuel, home heating oil and diesel fuel. These pipelines vary in size from relatively small (12 inches in diameter) to much larger (42 inches in diameter). There are approximately 62,000 miles of refined product pipelines nationwide.\r\n
\r\nUpdated 03/06/2024.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "Energy Information Administration (EIA)", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 10, "fields": {"div_id": "sedimentary_basins", "name": "U.S. Sedimentary Basins", "mouse_over": "NAME", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "Sedimentary Basins US", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/Sedimentary_Basins.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.3", "line_width": 2, "api_key": null, "username": null, "switch_color": "brown", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "Sedimentary basins associated with tight oil and shale gas plays in the United States. Last Updated: September 15, 2020. Downloaded: June 19, 2023", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "U.S. Energy Information Administration | EIA.gov", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 11, "fields": {"div_id": "shale_plays", "name": "U.S. Tight Oil and Shale Gas Plays", "mouse_over": "Shale_play", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "Tight Oil and Shale Gas Plays", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/Tight_Oil_and_Shale_Gas_Plays.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.3", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "Oil & Gas (US)", "sort_level": null, "description": "Tight oil and shale gas plays in the Lower 48 States. Last Updated: February 1, 2022. Downloaded: June 19, 2023.", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "U.S. Energy Information Administration | EIA.gov", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 6, "fields": {"div_id": "congressionaldistricts", "name": "Congressional Districts (118th Congress)", "mouse_over": "NAMELSAD", "img_source": "BLOCK", "layer_type": "pbf", "layer_name": "Congressional Districts (118th Congress)", "layer_url": "NA", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.1", "line_width": 3, "api_key": null, "username": null, "switch_color": "blue", "line_color": "blue", "category": "United States", "sort_level": null, "description": "The 118th Congressional Districts dataset reflects boundaries from January 04, 2023 from the United States Census Bureau (USCB).
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\r\n- \r\nIs not \"quarantined\" in IRWIN due to potential conflicts with other records
\r\n
\r\nAttribution of the source polygon is set to a Feature Access of Public, a Feature Status of Approved, and an Is Visible setting of Yes. \r\nPerimeters are not available for every incident. For a complete set of features that meet the same IRWIN criteria, see the 2023 Wildland Fire Locations to Date service.\r\n
\r\nNo \"fall-off\" rules are applied to this service. \r\n
\r\nCriteria were determined by an NWCG Geospatial Subcommittee task group. \r\n
\r\nData are refreshed every 5 minutes. Changes in the perimeter source may take up to 15 minutes to display.\r\nPerimeters are pulled from multiple sources with rules in place to ensure the most current or most authoritative shape is used.\r\n", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/CY_WildlandFire_Locations_ToDate/FeatureServer/0/query?where=1%3D1&objectIds=&time=&geometry=-180,-90,180,90&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&resultType=none&distance=0.0&units=esriSRUnit_Meter&returnGeodetic=false&outFields=*&returnGeometry=true&returnCentroid=false&featureEncoding=esriDefault&multipatchOption=xyFootprint&maxAllowableOffset=&geometryPrecision=&outSR=&defaultSR=&datumTransformation=&applyVCSProjection=false&returnIdsOnly=false&returnUniqueIdsOnly=false&returnCountOnly=false&returnExtentOnly=false&returnQueryGeometry=false&returnDistinctValues=false&cacheHint=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&having=&resultOffset=&resultRecordCount=&returnZ=false&returnM=false&returnExceededLimitFeatures=true&quantizationParameters=&sqlFormat=none&f=pgeojson&token=\r\n\r\nhttps://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/WFIGS_Incident_Locations_YearToDate/FeatureServer", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NIFC", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": true, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 270, "fields": {"div_id": "firms-test-viirs", "name": "NIFC Wildfire Perimeters", "mouse_over": "poly_IncidentName", "img_source": "BLOCK", "layer_type": "deckgl", "layer_name": "FIRMS test footprint", "layer_url": "https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/WFIGS_Interagency_Perimeters_YearToDate/FeatureServer/0/query?where=1%3D1&objectIds=&time=&geometry={west},{south},{east},{north}&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&resultType=none&distance=0.0&units=esriSRUnit_Meter&returnGeodetic=false&outFields=*&returnGeometry=true&returnCentroid=false&featureEncoding=esriDefault&multipatchOption=xyFootprint&maxAllowableOffset=&geometryPrecision=&outSR=&defaultSR=&datumTransformation=&applyVCSProjection=false&returnIdsOnly=false&returnUniqueIdsOnly=false&returnCountOnly=false&returnExtentOnly=false&returnQueryGeometry=false&returnDistinctValues=false&cacheHint=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&having=&resultOffset=&resultRecordCount=&returnZ=false&returnM=false&returnExceededLimitFeatures=true&quantizationParameters=&sqlFormat=none&f=pgeojson&token=", "layer_file": "NA", "layer_marker": "NA", "sql": "", "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "0.5", "line_width": 1, "api_key": null, "username": null, "switch_color": "yellow", "line_color": "#2693e6", "category": "United States", "sort_level": null, "description": "Perimeters for all reported wildland fires in the United States in current year. This is service is authoritative, public and hosted by National Interagency Fire Center (NIFC).\r\n\r\nThe Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the National Interagency Fire Center ArcGIS Online Organization (The NIFC Org), WFIGS provides both internal and public facing data, accessible in a variety of formats.\r\n
\r\nThis service includes perimeters for wildland fire incidents that meet the following criteria:\r\n
\r\n- \r\nCategorized in the IRWIN (Integrated Reporting of Wildland Fire Information) integration service as a valid Wildfire (WF), Prescribed Fire (RX), or Incident Complex (CX) record with a Fire Discovery Date in the current year
\r\n- \r\nIs not \"quarantined\" in IRWIN due to potential conflicts with other records
\r\n- \r\nAttribution of the source polygon is set to a Feature Access of Public, a Feature Status of Approved, and an Is Visible setting of Yes. \r\n
\r\nPerimeters are not available for every incident. For a complete set of features that meet the same IRWIN criteria, see the 2023 Wildland Fire Locations to Date service.\r\n
\r\nNo \"fall-off\" rules are applied to this service. \r\n
\r\nCriteria were determined by an NWCG Geospatial Subcommittee task group. \r\n
\r\nData are refreshed every 5 minutes. Changes in the perimeter source may take up to 15 minutes to display.\r\nPerimeters are pulled from multiple sources with rules in place to ensure the most current or most authoritative shape is used.\r\n", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": "Click Refresh after moving map", "mb_source_layer": null, "mb_url": null, "skytruth_notes": "https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/WFIGS_Interagency_Perimeters_YearToDate/FeatureServer\r\n\r\nhttps://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/CY_WildlandFire_Perimeters_ToDate/FeatureServer/0/query?where=1%3D1&objectIds=&time=&geometry={west},{south},{east},{north}&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&resultType=none&distance=0.0&units=esriSRUnit_Meter&returnGeodetic=false&outFields=*&returnGeometry=true&returnCentroid=false&featureEncoding=esriDefault&multipatchOption=xyFootprint&maxAllowableOffset=&geometryPrecision=&outSR=&defaultSR=&datumTransformation=&applyVCSProjection=false&returnIdsOnly=false&returnUniqueIdsOnly=false&returnCountOnly=false&returnExtentOnly=false&returnQueryGeometry=false&returnDistinctValues=false&cacheHint=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&having=&resultOffset=&resultRecordCount=&returnZ=false&returnM=false&returnExceededLimitFeatures=true&quantizationParameters=&sqlFormat=none&f=pgeojson&token=", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": true, "key_image": null, "attribution": "NIFC", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": true, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 407, "fields": {"div_id": "wetlands_404", "name": "404 Wetland Permits", "mouse_over": "NA", "img_source": "CIRCLE", "layer_type": "deckgl", "layer_name": "404 Wetland Permits", "layer_url": "NA", "layer_file": "https://storage.googleapis.com/alerts-storage/layers/wetlands_404.geojson", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 3, "api_key": null, "username": null, "switch_color": "red", "line_color": "red", "category": "Verifying (Experimental)", "sort_level": null, "description": "", "filter": "", "include_on_tab": true, "map_label": null, "loading_msg": null, "mb_source_layer": null, "mb_url": null, "skytruth_notes": "", "default_step": null, "big_data": false, "style_item": null, "fill_shapes": false, "key_image": null, "attribution": "U.S. Army Corps of Engineers", "file_extension": null, "prompts": "", "timeline": false, "include_refresh": false, "run_on_init": true, "select_on_click": false, "user_id": null, "zoom_to": 0, "min_zoom": 0}}, {"model": "img.layer", "pk": 309, "fields": {"div_id": "ee_aca", "name": "Allen Coral Atlas (Benthic class)", "mouse_over": null, "img_source": null, "layer_type": "ee", "layer_name": "Allen Coral Atlas", "layer_url": "NA", "layer_file": "ACA", "layer_marker": "NA", "sql": null, "sql_returns": "geojson", "show": false, "checked": false, "content": "", "status": "active", "columns": "", "marker_style": "", "opacity": "1.0", "line_width": 1, "api_key": null, "username": null, "switch_color": "#2693e6", "line_color": "#2693e6", "category": "Verifying (Experimental)", "sort_level": null, "description": "The Allen Coral Atlas dataset maps the geomorphic zonation and benthic habitat for the world's shallow coral reefs at 5m pixel resolution. 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null, "username": null, "switch_color": "red", "line_color": "#2693e6", "category": "Verifying (Experimental)", "sort_level": null, "description": "DO NOT USE! 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concentrations.\r\n
\r\nMethane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced greenhouse effect. Roughly three-quarters of methane emissions are anthropogenic and as such it is important to continue the record of satellite based measurements. TROPOMI aims at providing CH4 column concentrations with high sensitivity to the Earth's surface, good spatiotemporal coverage, and sufficient accuracy to facilitate inverse modeling of sources and sinks. TROPOMI uses absorption information from the Oxygen-A Band (760nm) and the SWIR spectral range to monitor CH4 abundances in the Earth's atmosphere. [More information]\r\n
\r\nCurrently, the following data quality issues are known, are not covered by the quality flags, and should be kept in mind when looking at the methane product and also at preliminary validation results. For more details, see the MPC VDAF website.\r\n
\r\nFiltering on qa_value < 0.5 does not remove all pixels considered bad. Some pixels with too low methane concentrations are still present:\r\n\r\n- Single TROPOMI overpasses show stripes of erroneous CH4 values in the flight direction.
\r\n- Not all pixels above inland water are filtered.
\r\n- Uncertainties for the XCH4 is only based on the single sounding precision due to measurement noise. For applications requiring an overall uncertainty estimate, we propose to multiply the provided error by a factor 2, which reflects the scatter of single sounding errors in the TCCON validation.
\r\n- Data prior to November 2021 only provides XCH4 over land, after which glint ocean observations were added.
\r\n- No data are present between 2022-07-26 and 2022-08-31 due to a provider outage.
\r\n
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