76 datasets found
  1. d

    Parking Citations

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Jun 29, 2025
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    data.lacity.org (2025). Parking Citations [Dataset]. https://catalog.data.gov/dataset/parking-citations-82ba2
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    Parking citations with latitude / longitude in Mercator map projection which is a variant of Web Mercator, Google Web Mercator, Spherical Mercator, WGS 84 Web Mercator or WGS 84/Pseudo-Mercator and is the de facto standard for Web mapping applications. Additional information about Meractor projections - https://en.wikipedia.org/wiki/Mercator_projection The official EPSG identifier for Web Mercator is EPSG:3857. Additional information on projections can be read here: https://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Projection_basics_the_GIS_professional_needs_to_know For more information on Geographic vs Projected coordinate systems, read here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/gcs_vs_pcs/ For information on how to change map projections, read here: https://learn.arcgis.com/en/projects/make-a-web-map-without-web-mercator/

  2. a

    Bike Map Lines

    • hub.arcgis.com
    • catalog.data.gov
    Updated Jul 1, 2020
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    Town of Chapel Hill (2020). Bike Map Lines [Dataset]. https://hub.arcgis.com/datasets/7be1c07dd3fd44b99132faca7735e834
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    Dataset updated
    Jul 1, 2020
    Dataset authored and provided by
    Town of Chapel Hill
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    Chapel Hill bike map lines - unofficial map. This dataset was sourced from a KMZ file taken from a public wiki map comment board. Comments are collected for possible maintenance/repairs and infrastructure planning. The IDs of respondents have been redacted

  3. BLM Natl Idaho MMPK

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated Apr 14, 2025
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    Bureau of Land Management (2025). BLM Natl Idaho MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-idaho-mmpk
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    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Idaho
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  4. BLM Natl ROW Gateway South TLine Derived Polygon

    • gbp-blm-egis.hub.arcgis.com
    • datasets.ai
    • +1more
    Updated Dec 14, 2023
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    Bureau of Land Management (2023). BLM Natl ROW Gateway South TLine Derived Polygon [Dataset]. https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-natl-row-gateway-south-tline-derived-polygon
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This theme contains polygons of the Gateway South transmission line with attributes for: PLSSID, FRSTDIVID, SECDIVID, GISACRE, and others.

  5. MODIS Thermal (Last 7 days)

    • wifire-data.sdsc.edu
    Updated Mar 3, 2023
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    Esri (2023). MODIS Thermal (Last 7 days) [Dataset]. https://wifire-data.sdsc.edu/dataset/modis-thermal-last-7-days
    Explore at:
    geojson, kml, arcgis geoservices rest api, csv, html, zipAvailable download formats
    Dataset updated
    Mar 3, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World.


    Consumption Best Practices:

    • As a service that is subject to Viral loads (very high usage), avoid adding Filters that use a Date/Time type field. These queries are not cacheable and WILL be subject to 'https://en.wikipedia.org/wiki/Rate_limiting' rel='nofollow ugc'>Rate Limiting by ArcGIS Online. To accommodate filtering events by Date/Time, we encourage using the included "Age" fields that maintain the number of Days or Hours since a record was created or last modified compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be supplied to many users without adding load on the service.
    • When ingesting this service in your applications, avoid using POST requests, these requests are not cacheable and will also be subject to Rate Limiting measures.

    Scale/Resolution: 1km

    Update Frequency: 1/2 Hour (every 30 minutes) using the Aggregated Live Feed Methodology

    Area Covered: World

    What can I do with this layer?
    The MODIS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.

    Additional Information
    MODIS stands for MODerate resolution Imaging Spectroradiometer. The MODIS instrument is on board NASA’s Earth Observing System (EOS) Terra (EOS AM) and Aqua (EOS PM) satellites. The orbit of the Terra satellite goes from north to south across the equator in the morning and Aqua passes south to north over the equator in the afternoon resulting in global coverage every 1 to 2 days. The EOS satellites have a ±55 degree scanning pattern and orbit at 705 km with a 2,330 km swath width.

    It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for the Fire Information for Resource Management System (FIRMS) to update the website. Occasionally, hardware errors can result in processing delays beyond the 2-4 hour range. Additional information on the MODIS system status can be found at MODIS Rapid Response.

    Attribute Information
    • Latitude and Longitude: The center point location of the 1km (approx.) pixel flagged as containing one or more fires/hotspots (fire size is not 1km, but variable). Stored by Point Geometry. See What does a hotspot/fire detection mean on the ground?
    • Brightness: The brightness temperature measured (in Kelvin) using the MODIS channels 21/22 and channel 31.
    • Scan and Track: The actual spatial resolution of the scanned pixel. Although the algorithm works at 1km resolution, the MODIS pixels get bigger toward the edge of the scan. See What does scan and track mean?
    • Date and Time: Acquisition date of the hotspot/active fire pixel and time of satellite overpass in UTC (client presentation in local time). Stored by Acquisition Date.
    • Acquisition Date: Derived Date/Time field combining Date and Time attributes.
    • Satellite: Whether the detection was picked up by the Terra or Aqua satellite.
    • Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel.
    • Version: Version refers to the processing collection and source of data. The number before the decimal refers to the collection (e.g. MODIS Collection 6). The number after the decimal indicates the source of Level 1B data; data processed in near-real time by MODIS Rapid Response will have the source code “CollectionNumber.0”. Data sourced from MODAPS (with a 2-month lag) and processed by FIRMS using the standard MOD14/MYD14 Thermal Anomalies algorithm will have a source code “CollectionNumber.x”. For example, data with the version listed as 5.0 is collection 5, processed by MRR, data with the version listed as 5.1 is collection 5 data processed by FIRMS using Level 1B data from MODAPS.
    • Bright.T31: Channel 31 brightness temperature (in Kelvins) of the hotspot/active fire pixel.
    • FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005)).
    • DayNight: The standard processing algorithm uses the solar zenith angle (SZA) to threshold the day/night value; if the SZA exceeds 85 degrees it is assigned a night value. SZA values less than 85 degrees are assigned a day time value. For the NRT algorithm the day/night flag is assigned by ascending (day) vs descending (night) observation. It is expected that the NRT assignment of the day/night flag will be amended to be consistent with the standard processing.
    • Hours Old: Derived field that provides age of record in hours between Acquisition date/time and latest update date/time. 0 = less than 1 hour ago, 1 = less than 2 hours ago, 2 = less than 3 hours ago, and so on.
    Revisions
    • June 22, 2022: Added 'HOURS_OLD' field to enhance Filtering data. Added 'Last 7 days' Layer to extend data to match time range of VIIRS offering. Added Field level descriptions.
    This map is provided for informational purposes and is not monitored 24/7 for accuracy and

  6. d

    Flood Hazards of California.

    • datadiscoverystudio.org
    Updated Jun 27, 2018
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    Federal Emergency Management Agency (2018). Flood Hazards of California. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f54e272b1b65445199979fc66a11d843/html
    Explore at:
    Dataset updated
    Jun 27, 2018
    Authors
    Federal Emergency Management Agency
    Area covered
    Description

    description: The Alquist-Priolo Earthquake Fault Zoning Act was signed into California law on December 22, 1972 to mitigate the hazard of surface faulting to structures for human occupancy. It directs the State of California Division of Mines and Geology (now known as the California Geological Survey) to compile detailed maps of the surface traces of known active faults. These maps include both the best known location where faults cut the surface and a buffer zone around the known trace(s). (See: Wikipedia http://en.wikipedia.org/wiki/Alquist_Priolo_Special_Studies_Zone_Act).; abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the geographic projection and the decimal degree coordinate system. The specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000.FEMA Flood maps for CaliforniaSafety, Natural HazardsFlood Hazards

  7. BLM CO PLSS Intersected Survey Grid

    • gbp-blm-egis.hub.arcgis.com
    • catalog.data.gov
    Updated Sep 18, 2017
    + more versions
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    Bureau of Land Management (2017). BLM CO PLSS Intersected Survey Grid [Dataset]. https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-co-plss-intersected-survey-grid
    Explore at:
    Dataset updated
    Sep 18, 2017
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    The fully intersected data is the atomic level of the PLSS that is similar to the coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication.

  8. Satellite (MODIS) Thermal Hotspots and Fire Activity

    • wifire-data.sdsc.edu
    • emergency-lacounty.hub.arcgis.com
    Updated Mar 4, 2023
    + more versions
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    Esri (2023). Satellite (MODIS) Thermal Hotspots and Fire Activity [Dataset]. https://wifire-data.sdsc.edu/dataset/satellite-modis-thermal-hotspots-and-fire-activity
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 4, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World.


    Consumption Best Practices:

    • As a service that is subject to Viral loads (very high usage), avoid adding Filters that use a Date/Time type field. These queries are not cacheable and WILL be subject to 'https://en.wikipedia.org/wiki/Rate_limiting' rel='nofollow ugc'>Rate Limiting by ArcGIS Online. To accommodate filtering events by Date/Time, we encourage using the included "Age" fields that maintain the number of Days or Hours since a record was created or last modified compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be supplied to many users without adding load on the service.
    • When ingesting this service in your applications, avoid using POST requests, these requests are not cacheable and will also be subject to Rate Limiting measures.

    Scale/Resolution: 1km

    Update Frequency: 1/2 Hour (every 30 minutes) using the Aggregated Live Feed Methodology

    Area Covered: World

    What can I do with this layer?
    The MODIS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.

    Additional Information
    MODIS stands for MODerate resolution Imaging Spectroradiometer. The MODIS instrument is on board NASA’s Earth Observing System (EOS) Terra (EOS AM) and Aqua (EOS PM) satellites. The orbit of the Terra satellite goes from north to south across the equator in the morning and Aqua passes south to north over the equator in the afternoon resulting in global coverage every 1 to 2 days. The EOS satellites have a ±55 degree scanning pattern and orbit at 705 km with a 2,330 km swath width.

    It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for the Fire Information for Resource Management System (FIRMS) to update the website. Occasionally, hardware errors can result in processing delays beyond the 2-4 hour range. Additional information on the MODIS system status can be found at MODIS Rapid Response.

    Attribute Information
    • Latitude and Longitude: The center point location of the 1km (approx.) pixel flagged as containing one or more fires/hotspots (fire size is not 1km, but variable). Stored by Point Geometry. See What does a hotspot/fire detection mean on the ground?
    • Brightness: The brightness temperature measured (in Kelvin) using the MODIS channels 21/22 and channel 31.
    • Scan and Track: The actual spatial resolution of the scanned pixel. Although the algorithm works at 1km resolution, the MODIS pixels get bigger toward the edge of the scan. See What does scan and track mean?
    • Date and Time: Acquisition date of the hotspot/active fire pixel and time of satellite overpass in UTC (client presentation in local time). Stored by Acquisition Date.
    • Acquisition Date: Derived Date/Time field combining Date and Time attributes.
    • Satellite: Whether the detection was picked up by the Terra or Aqua satellite.
    • Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel.
    • Version: Version refers to the processing collection and source of data. The number before the decimal refers to the collection (e.g. MODIS Collection 6). The number after the decimal indicates the source of Level 1B data; data processed in near-real time by MODIS Rapid Response will have the source code “CollectionNumber.0”. Data sourced from MODAPS (with a 2-month lag) and processed by FIRMS using the standard MOD14/MYD14 Thermal Anomalies algorithm will have a source code “CollectionNumber.x”. For example, data with the version listed as 5.0 is collection 5, processed by MRR, data with the version listed as 5.1 is collection 5 data processed by FIRMS using Level 1B data from MODAPS.
    • Bright.T31: Channel 31 brightness temperature (in Kelvins) of the hotspot/active fire pixel.
    • FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005)).
    • DayNight: The standard processing algorithm uses the solar zenith angle (SZA) to threshold the day/night value; if the SZA exceeds 85 degrees it is assigned a night value. SZA values less than 85 degrees are assigned a day time value. For the NRT algorithm the day/night flag is assigned by ascending (day) vs descending (night) observation. It is expected that the NRT assignment of the day/night flag will be amended to be consistent with the standard processing.
    • Hours Old: Derived field that provides age of record in hours between Acquisition date/time and latest update date/time. 0 = less than 1 hour ago, 1 = less than 2 hours ago, 2 = less than 3 hours ago, and so on.
    Revisions
    • June 22, 2022: Added 'HOURS_OLD' field to enhance Filtering data. Added 'Last 7 days' Layer to extend data to match time range of VIIRS offering. Added Field level descriptions.
    This map is provided for informational purposes and is not monitored 24/7 for accuracy and

  9. BLM Natl Wyoming MMPK

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated May 8, 2025
    + more versions
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    Bureau of Land Management (2025). BLM Natl Wyoming MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-wyoming-mmpk
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Wyoming
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  10. Indonesia Education Facilities (OpenStreetMap Export)

    • data.humdata.org
    geojson, geopackage +2
    Updated Apr 15, 2025
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    Humanitarian OpenStreetMap Team (HOT) (2025). Indonesia Education Facilities (OpenStreetMap Export) [Dataset]. https://data.humdata.org/dataset/hotosm_idn_education_facilities
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    geopackage(8304354), geopackage(551840), shp(8451779), geojson(450891), kml(5440264), geojson(5385606), shp(634561), kml(453170)Available download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Humanitarian OpenStreetMap Team
    OpenStreetMap//www.openstreetmap.org/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    OpenStreetMap exports for use in GIS applications.

    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

    tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university')

    Features may have these attributes:

    This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

  11. Satellite (VIIRS) Thermal Hotspots and Fire Activity

    • wifire-data.sdsc.edu
    Updated Mar 3, 2023
    + more versions
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    Esri (2023). Satellite (VIIRS) Thermal Hotspots and Fire Activity [Dataset]. https://wifire-data.sdsc.edu/dataset/satellite-viirs-thermal-hotspots-and-fire-activity
    Explore at:
    geojson, zip, kml, arcgis geoservices rest api, csv, htmlAvailable download formats
    Dataset updated
    Mar 3, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Description
    This layer presents detectable thermal activity from VIIRS satellites for the last 7 days. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, part of NASA's Earth Science Data.

    Consumption Best Practices:

    • As a service that is subject to Viral loads (very high usage), avoid adding Filters that use a Date/Time type field. These queries are not cacheable and WILL be subject to 'https://en.wikipedia.org/wiki/Rate_limiting' rel='nofollow ugc'>Rate Limiting by ArcGIS Online. To accommodate filtering events by Date/Time, we encourage using the included "Age" fields that maintain the number of Days or Hours since a record was created or last modified compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be supplied to many users without adding load on the service.
    • When ingesting this service in your applications, avoid using POST requests, these requests are not cacheable and will also be subject to Rate Limiting measures.
    Source: NASA LANCE - VNP14IMG_NRT active fire detection - World
    Scale/Resolution: 375-meter
    Update Frequency: Hourly using the aggregated live feed methodology
    Area Covered: World

    What can I do with this layer?
    This layer represents the most frequently updated and most detailed global remotely sensed wildfire information. Detection attributes include time, location, and intensity. It can be used to track the location of fires from the recent past, a few hours up to seven days behind real time. This layer also shows the location of wildfire over the past 7 days as a time-enabled service so that the progress of fires over that timeframe can be reproduced as an animation.

    The VIIRS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.

    Fire points in this service are generally available within 3 1/4 hours after detection by a VIIRS device. LANCE estimates availability at around 3 hours after detection, and esri livefeeds updates this feature layer every 15 minutes from LANCE.

    Even though these data display as point features, each point in fact represents a pixel that is >= 375 m high and wide. A point feature means somewhere in this pixel at least one "hot" spot was detected which may be a fire.

    VIIRS is a scanning radiometer device aboard the Suomi NPP and NOAA-20 satellites that collects imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans in several visible and infrared bands. The VIIRS Thermal Hotspots and Fire Activity layer is a livefeed from a subset of the overall VIIRS imagery, in particular from NASA's VNP14IMG_NRT active fire detection product. The downloads are automatically downloaded from LANCE, NASA's near real time data and imagery site, every 15 minutes.

    The 375-m data complements the 1-km Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Hotspots and Fire Activity layer; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters.

    Attribute information
    • Latitude and Longitude: The center point location of the 375 m (approximately) pixel flagged as containing one or more fires/hotspots.
    • Satellite: Whether the detection was picked up by the Suomi NPP satellite (N) or NOAA-20 satellite (1). For best results, use the virtual field WhichSatellite, redefined by an arcade expression, that gives the complete satellite name.
    • Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel. This value is based on a collection of intermediate algorithm quantities used in the detection process. It is intended to help users gauge the quality of individual hotspot/fire pixels. Confidence values are set to low, nominal and high. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Nominal confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.
    • Please note: Low confidence nighttime pixels occur only over the geographic area extending from 11 deg E to 110 deg W and 7 deg N to 55 deg S. This area describes the region of influence of the South Atlantic Magnetic Anomaly which can cause spurious brightness temperatures in the mid-infrared channel I4 leading to potential false positive alarms. These have been removed from the NRT data distributed by FIRMS.
    • FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005)).
    • DayNight: D = Daytime fire, N = Nighttime fire
    • Hours Old: Derived field that provides age of record in hours between Acquisition date/time and latest update date/time. 0 = less than 1 hour ago, 1 = less than 2 hours ago, 2 = less than 3 hours ago, and so on.

    Additional information can be found on the NASA FIRMS site FAQ.

    Note about near real time data:
    Near real time data is not checked thoroughly before it's posted on LANCE or downloaded and posted to the Living Atlas. NASA's goal is to get vital fire information to its customers within three hours of observation time. However, the data is screened by a confidence algorithm which seeks to help users gauge the quality of individual hotspot/fire points. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Medium confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.

    Revisions
    • September 15, 2022: Updated to include 'Hours_Old' field. Time series has been disabled by default, but still available.
    • July 5, 2022: Terms of Use updated to Esri Master License Agreement, no longer stating that a subscription is required!
    This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.

    If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
  12. a

    Cloud Top Pressure Imagery Services from NASA GIBS

    • amerigeo.org
    • anrgeodata.vermont.gov
    • +6more
    Updated Nov 18, 2021
    + more versions
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    AmeriGEOSS (2021). Cloud Top Pressure Imagery Services from NASA GIBS [Dataset]. https://www.amerigeo.org/maps/9ce1bf7d415643ea81dbaf9a9e76c772
    Explore at:
    Dataset updated
    Nov 18, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Earth
    Description

    The Global Imagery Browse Services (GIBS) system is a core EOSDIS component which provides a scalable, responsive, highly available, and community standards based set of imagery services. These services are designed with the goal of advancing user interactions with EOSDIS’ inter-disciplinary data through enhanced visual representation and discovery.GIBS Available Imagery ProductsThe GIBS imagery archive includes approximately 1000 imagery products representing visualized science data from the NASA Earth Observing System Data and Information System (EOSDIS). Each imagery product is generated at the native resolution of the source data to provide "full resolution" visualizations of a science parameter. GIBS works closely with the science teams to identify the appropriate data range and color mappings, where appropriate, to provide the best quality imagery to the Earth science community. Many GIBS imagery products are generated by the EOSDIS LANCE near real-time processing system resulting in imagery available in GIBS within 3.5 hours of observation. These products and others may also extend from present to the beginning of the satellite mission. In addition, GIBS makes available supporting imagery layers such as data/no-data, water masks, orbit tracks, and graticules to improve imagery usage.The GIBS team is actively engaging the NASA EOSDIS Distributed Active Archive Centers (DAACs) to add more imagery products and to extend their coverage throughout the life of the mission. The remainder of this page provides a structured view of the layers currently available within GIBS grouped by science discipline and science observation. For information regarding how to access these products, see the GIBS API section of this wiki. For information regarding how to access these products through an existing client, refer to the Map Library and GIS Client sections of this wiki. If you are aware of a science parameter that you would like to see visualized, please contact us at support@earthdata.nasa.gov. https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products#expand-AerosolOpticalDepth29ProductsNASA GIS API for Developers https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers

  13. a

    Landsat Layers-doug

    • hub.arcgis.com
    • amerigeo.org
    • +1more
    Updated Apr 25, 2018
    + more versions
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    AmeriGEOSS (2018). Landsat Layers-doug [Dataset]. https://hub.arcgis.com/maps/277d13fb5daa4762bfce49b06df8b0e6
    Explore at:
    Dataset updated
    Apr 25, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Description

    This map contains a number of world-wide dynamic image services providing access to various Landsat scenes covering the landmass of the World for visual interpretation. Landsat 8 collects new scenes for each location on Earth every 16 days, assuming limited cloud coverage. Newest and near cloud-free scenes are displayed by default on top. Most scenes collected since 1st January 2015 are included. The service also includes scenes from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).The service contains a range of different predefined renderers for Multispectral, Panchromatic as well as Pansharpened scenes. The layers in the service can be time-enabled so that the applications can restrict the displayed scenes to a specific date range. This ArcGIS Server dynamic service can be used in Web Maps and ArcGIS Desktop, Web and Mobile applications using the REST based image services API. Users can also export images, but the exported area is limited to maximum of 2,000 columns x 2,000 rows per request.Data Source: The imagery in these services is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The data for these services reside on the Landsat Public Datasets hosted on the Amazon Web Service cloud. Users can access full scenes from https://github.com/landsat-pds/landsat_ingestor/wiki/Accessing-Landsat-on-AWS, or alternatively access http://landsatlook.usgs.gov to review and download full scenes from the complete USGS archive.For more information on Landsat 8 images, see http://landsat.usgs.gov/landsat8.php.*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit http://landsat.usgs.gov/science_GLS.php.For more information on each of the individual layers, see http://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b ; http://www.arcgis.com/home/item.html?id=6b003010cbe64d5d8fd3ce00332593bf ; http://www.arcgis.com/home/item.html?id=a7412d0c33be4de698ad981c8ba471e6

  14. BLM Natl Nevada MMPK

    • gbp-blm-egis.hub.arcgis.com
    • gimi9.com
    • +1more
    Updated Nov 21, 2024
    + more versions
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    Bureau of Land Management (2024). BLM Natl Nevada MMPK [Dataset]. https://gbp-blm-egis.hub.arcgis.com/content/4b5101177eb1483d8852a1e7de7483f4
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  15. a

    Stereo Height Imagery Services from NASA GIBS

    • climate.amerigeoss.org
    • amerigeo.org
    • +3more
    Updated Nov 18, 2021
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    AmeriGEOSS (2021). Stereo Height Imagery Services from NASA GIBS [Dataset]. https://climate.amerigeoss.org/maps/45fa2649c01d40c8b63204c9ab870178
    Explore at:
    Dataset updated
    Nov 18, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Earth
    Description

    The Global Imagery Browse Services (GIBS) system is a core EOSDIS component which provides a scalable, responsive, highly available, and community standards based set of imagery services. These services are designed with the goal of advancing user interactions with EOSDIS’ inter-disciplinary data through enhanced visual representation and discovery.GIBS Available Imagery ProductsThe GIBS imagery archive includes approximately 1000 imagery products representing visualized science data from the NASA Earth Observing System Data and Information System (EOSDIS). Each imagery product is generated at the native resolution of the source data to provide "full resolution" visualizations of a science parameter. GIBS works closely with the science teams to identify the appropriate data range and color mappings, where appropriate, to provide the best quality imagery to the Earth science community. Many GIBS imagery products are generated by the EOSDIS LANCE near real-time processing system resulting in imagery available in GIBS within 3.5 hours of observation. These products and others may also extend from present to the beginning of the satellite mission. In addition, GIBS makes available supporting imagery layers such as data/no-data, water masks, orbit tracks, and graticules to improve imagery usage.The GIBS team is actively engaging the NASA EOSDIS Distributed Active Archive Centers (DAACs) to add more imagery products and to extend their coverage throughout the life of the mission. The remainder of this page provides a structured view of the layers currently available within GIBS grouped by science discipline and science observation. For information regarding how to access these products, see the GIBS API section of this wiki. For information regarding how to access these products through an existing client, refer to the Map Library and GIS Client sections of this wiki. If you are aware of a science parameter that you would like to see visualized, please contact us at support@earthdata.nasa.gov. https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products#expand-AerosolOpticalDepth29ProductsNASA GIS API for Developers https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers

  16. w

    OpenStreetMap GIS data on Guinea, Liberia, and Sierra Leone

    • data.wu.ac.at
    shp
    Updated Oct 6, 2018
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    HDX (2018). OpenStreetMap GIS data on Guinea, Liberia, and Sierra Leone [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/YzM3YjNlMjItMjYyMi00NWU0LWJjZjQtMjY5ZDY5YjM1Yjdi
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    shpAvailable download formats
    Dataset updated
    Oct 6, 2018
    Dataset provided by
    HDX
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Area covered
    Liberia, Guinea, Sierra Leone
    Description

    This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily.

    The original dataset can be downloaded from the OSM West Africa Ebola response wiki.

  17. a

    Cloud Multi Layer Flag Imagery Services from NASA GIBS

    • climate.amerigeoss.org
    • amerigeo.org
    • +2more
    Updated Nov 18, 2021
    + more versions
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    AmeriGEOSS (2021). Cloud Multi Layer Flag Imagery Services from NASA GIBS [Dataset]. https://climate.amerigeoss.org/maps/0c43c22ac23045e2baaf3a7d878198f5
    Explore at:
    Dataset updated
    Nov 18, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Earth
    Description

    The Global Imagery Browse Services (GIBS) system is a core EOSDIS component which provides a scalable, responsive, highly available, and community standards based set of imagery services. These services are designed with the goal of advancing user interactions with EOSDIS’ inter-disciplinary data through enhanced visual representation and discovery.GIBS Available Imagery ProductsThe GIBS imagery archive includes approximately 1000 imagery products representing visualized science data from the NASA Earth Observing System Data and Information System (EOSDIS). Each imagery product is generated at the native resolution of the source data to provide "full resolution" visualizations of a science parameter. GIBS works closely with the science teams to identify the appropriate data range and color mappings, where appropriate, to provide the best quality imagery to the Earth science community. Many GIBS imagery products are generated by the EOSDIS LANCE near real-time processing system resulting in imagery available in GIBS within 3.5 hours of observation. These products and others may also extend from present to the beginning of the satellite mission. In addition, GIBS makes available supporting imagery layers such as data/no-data, water masks, orbit tracks, and graticules to improve imagery usage.The GIBS team is actively engaging the NASA EOSDIS Distributed Active Archive Centers (DAACs) to add more imagery products and to extend their coverage throughout the life of the mission. The remainder of this page provides a structured view of the layers currently available within GIBS grouped by science discipline and science observation. For information regarding how to access these products, see the GIBS API section of this wiki. For information regarding how to access these products through an existing client, refer to the Map Library and GIS Client sections of this wiki. If you are aware of a science parameter that you would like to see visualized, please contact us at support@earthdata.nasa.gov. https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products#expand-AerosolOpticalDepth29ProductsNASA GIS API for Developers https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers

  18. BLM Natl Visual Resource Inventory Classes Polygon

    • gbp-blm-egis.hub.arcgis.com
    • catalog.data.gov
    Updated Jun 9, 2025
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    Bureau of Land Management (2025). BLM Natl Visual Resource Inventory Classes Polygon [Dataset]. https://gbp-blm-egis.hub.arcgis.com/datasets/blm-natl-visual-resource-inventory-classes-polygon/about
    Explore at:
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    The Visual Resource Inventory Classes Polygon is a component of the Visual Resources Inventory (VRI) and includes information needed for inventorying for visual values on BLM-managed public lands according to policy direction found in Manual 8400 and related Handbook 8410-1. Current policy requires that every acre of BLM land be inventoried for visual values and be assigned one of four VRI classes (Class I, II, III, or IV). Class I is reserved for those areas where a management decision has been made previously to maintain a natural landscape. This includes areas such as national wilderness areas, the wild section of national wild and scenic rivers, and other congressionally and administratively designated areas where decisions have been made to preserve a natural landscape. The inventory classes provide the basis for considering visual values in the resource management planning (RMP) process and constitute the current state of visual resource values as part of the affected environment sections of environmental analyses. Particularly, this data pertains Visual Resource National, State, District and Field Office leads and any group, program, or organization that is involved with surface disturbance activities or visually altering activities, including: Land Use Planners, Realty Specialists, Recreation Planners, Natural Resource Specialists, Landscape Architects, Cultural Resource Specialists, Fluid Minerals and Renewable Energy.

    This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

  19. Area Point

    • datasets.ai
    • catalog.data.gov
    • +1more
    Updated Aug 6, 2024
    + more versions
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    Social Security Administration (2024). Area Point [Dataset]. https://datasets.ai/datasets/area-point
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Point layer for SSA areas.

  20. v

    Cloud Phase Imagery Services from NASA GIBS

    • anrgeodata.vermont.gov
    • amerigeo.org
    • +2more
    Updated Nov 18, 2021
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    AmeriGEOSS (2021). Cloud Phase Imagery Services from NASA GIBS [Dataset]. https://anrgeodata.vermont.gov/maps/55343d49c0cf404fa3c8795a7711f454
    Explore at:
    Dataset updated
    Nov 18, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Earth
    Description

    The Global Imagery Browse Services (GIBS) system is a core EOSDIS component which provides a scalable, responsive, highly available, and community standards based set of imagery services. These services are designed with the goal of advancing user interactions with EOSDIS’ inter-disciplinary data through enhanced visual representation and discovery.GIBS Available Imagery ProductsThe GIBS imagery archive includes approximately 1000 imagery products representing visualized science data from the NASA Earth Observing System Data and Information System (EOSDIS). Each imagery product is generated at the native resolution of the source data to provide "full resolution" visualizations of a science parameter. GIBS works closely with the science teams to identify the appropriate data range and color mappings, where appropriate, to provide the best quality imagery to the Earth science community. Many GIBS imagery products are generated by the EOSDIS LANCE near real-time processing system resulting in imagery available in GIBS within 3.5 hours of observation. These products and others may also extend from present to the beginning of the satellite mission. In addition, GIBS makes available supporting imagery layers such as data/no-data, water masks, orbit tracks, and graticules to improve imagery usage.The GIBS team is actively engaging the NASA EOSDIS Distributed Active Archive Centers (DAACs) to add more imagery products and to extend their coverage throughout the life of the mission. The remainder of this page provides a structured view of the layers currently available within GIBS grouped by science discipline and science observation. For information regarding how to access these products, see the GIBS API section of this wiki. For information regarding how to access these products through an existing client, refer to the Map Library and GIS Client sections of this wiki. If you are aware of a science parameter that you would like to see visualized, please contact us at support@earthdata.nasa.gov. https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products#expand-AerosolOpticalDepth29ProductsNASA GIS API for Developers https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers

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data.lacity.org (2025). Parking Citations [Dataset]. https://catalog.data.gov/dataset/parking-citations-82ba2

Parking Citations

Explore at:
Dataset updated
Jun 29, 2025
Dataset provided by
data.lacity.org
Description

Parking citations with latitude / longitude in Mercator map projection which is a variant of Web Mercator, Google Web Mercator, Spherical Mercator, WGS 84 Web Mercator or WGS 84/Pseudo-Mercator and is the de facto standard for Web mapping applications. Additional information about Meractor projections - https://en.wikipedia.org/wiki/Mercator_projection The official EPSG identifier for Web Mercator is EPSG:3857. Additional information on projections can be read here: https://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Projection_basics_the_GIS_professional_needs_to_know For more information on Geographic vs Projected coordinate systems, read here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/gcs_vs_pcs/ For information on how to change map projections, read here: https://learn.arcgis.com/en/projects/make-a-web-map-without-web-mercator/

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