United States of America imagery and land cover data
＋ Follow new data289 datasets about imagery and land cover in United States of America.
The true color orthoimages were acquired as part of the DC Geographic Information System (DC GIS) and captured at 20cm resolution. A companion downloadable mosaic is available as a compressed MrSID format.
The true color orthoimages were acquired as part of the DC Geographic Information System (DC GIS) and captured at 1 foot resolution. A companion downloadable mosaic is available as a compressed MrSID format.
The true color orthoimages were acquired as part of the DC Geographic Information System (DC GIS) and captured at 15cm pixel resolution. A companion downloadable mosaic is available as a compressed MrSID format. The final orthophotography deliverable products for this project consist of 328 ortho tiles at a scale of 1 to 2400.
uav imagery by WebODM, acquired 2025-05-28 to 2025-05-28, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by NYenvironcom , acquired 2026-07-08 to 2026-07-08, 2.7 cm per pixel, published on OpenAerialMap.
uav imagery by Robert Howe, acquired 2026-07-16 to 2026-07-16, 4.2 cm per pixel, published on OpenAerialMap.
The true color orthoimages were acquired as part of the DC Geographic Information System (DC GIS) and captured at 0.3-meter pixel resolution (approximately 1-foot). A companion downloadable mosaic is available as a compressed MrSID format.
uav imagery by Philip Gandy, acquired 2025-03-26 to 2025-03-26, 6.5 cm per pixel, published on OpenAerialMap.
Dates of Images: Post-Event: 1/18/2025, 1/19/2026, 1/21/2026, 1/26/2026, 1/28/2026 Pre-Event: 11/27/2025, 12/19/2025, 12/20/2025, 1/18/2026, 1/19/2026 Date of Next Image: Unknown Summary: Natural Color: The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument. True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta. True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI) Resolution: 30 meters Credits: NASA/MSFC, USGS Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202601_WINTERWX_US/202601_landsat/ImageServer/WMSServer
uav imagery by Philip Gandy, acquired 2025-03-26 to 2025-03-26, 6.5 cm per pixel, published on OpenAerialMap.
uav imagery by Skytracking Drone NC, acquired 2025-03-28 to 2025-03-28, 6.7 cm per pixel, published on OpenAerialMap.
uav imagery by Wampum Unmanned Technologies, LLC, acquired 2025-03-30 to 2025-03-30, 2.9 cm per pixel, published on OpenAerialMap.
uav imagery by Skytracking Drone NC, acquired 2025-04-27 to 2025-04-27, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Philip Gandy, acquired 2025-05-01 to 2025-05-01, 2.5 cm per pixel, published on OpenAerialMap.
uav imagery by Philip Gandy, acquired 2025-05-02 to 2025-05-02, 3.0 cm per pixel, published on OpenAerialMap.
uav imagery by Ben Scholer, acquired 2025-05-23 to 2025-05-24, 12.6 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-05-26 to 2025-05-26, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Dylan Tillman, acquired 2025-06-05 to 2025-06-05, 5.0 cm per pixel, published on OpenAerialMap.
Dates of Images: Post-Event: May 19, 2026 Pre-Event: May 11, 2026 Date of Next Image: Unknown Summary: These pre-fire and post-fire images pair were analyzed for normalized burn ratio (NBR). The input images were generated from the Landsat datasets at 30m resolution. NBR is defined mathematically as (NIR – SWIR)/(NIR + SWIR) where NIR is near-infrared and SWIR is short-wave infrared. dNBR is computed by the difference between the pre-fire NBR and the post-fire NBR. More information on dNBR can be found here: https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio. dNBR data may be computed while the fire is in progress. This is intentionally done to prioritize rapid data availability for proactive disaster response but means data can change over the course of the fire. Check fire containment and image dates for further context on image timing. Suggested Use: NBR is commonly used as a proxy to indicate areas which have charred vegetation. Darker areas (more negative values) in the NBR image more strongly represent the presence of burned vegetation. Since the dNBR considers the condition of the scene before the fire occurred, the resulting value has been used as a proxy for burn severity. Higher dNBR values represent a proxy for greater burn severity. Negative dNBR values may represent a re-greening of or growth of vegetation in between pre and post imagery. The use of this dNBR product as a quantitative metric of burn severity at the time of posting this dataset should be strongly caveated. This is due to several dNBR limitations: The spectral band selections used for dNBR calculations, and the implication of changes observed following fire in those wavelengths, primarily pertain to how vegetation spectral signatures change in NIR and SWIR wavelengths following charring. Because of this, dNBR may not accurately describe burned surfaces that are not vegetation (e.g. human built infrastructure). This dataset has not been validated by independent burn severity assessments. The degree to which dNBR is accurately determined depends on careful selection of pre and post event imagery. An effort was made to use the highest quality imagery (i.e. cloud free) with representative conditions for each scene; however, it is unknown at the time of this posting how selection of different pre/post image pairs could affect the derived dNBR values. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI) Resolution: 30 meters Credits: NASA/MSFC, USGS Service URL: See individual Layers. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202605_FIRE_KS/202608_landsat_nbr/ImageServer/WMSServer
Dates of Images: Post-Event: May 16, 2026 Pre-Event: May 11, 2026 Date of Next Image: None Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202605_FIRE_KS/202608_sentinel2/ImageServer/WMSServer
uav imagery by WebODM, acquired 2025-08-06 to 2025-08-06, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by CM, acquired 2025-08-07 to 2025-08-07, 1.9 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-10-06 to 2025-10-06, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-10-10 to 2025-10-10, 2.7 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-10-11 to 2025-10-11, 2.7 cm per pixel, published on OpenAerialMap.
Note: this is exercise data and does not represent real data. The original data is from mid-March 2023. Date of Images: 5/20/2026-5/27/2026 Please Note: Images with majority cloud cover are not shown in the Map Viewer, but are available in the service. Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from September 2025, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery. Suggested Use: NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. Observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages Satellite/Sensor: Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21 Resolution: 500 meters Credits: NASA Black Marble Science team Please cite the following two references when using this data: Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883. Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43. Point of Contact: Ranjay Shrestha NASA Goddard Space Flight Center E-mail: ranjay.m.shrestha@nasa.gov Additional Links: NASA’s Black Marble Product Suite Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6). Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143. Service URL: BRDF: https://gis.earthdata.nasa.gov/portal/home/item.html?id=de7a99b66cca4a20bfc91b27ea84cd4d Cloud Masks: https://gis.earthdata.nasa.gov/portal/home/item.html?id=961f83b5aef64f75bc4caa9c4610f4ed
uav imagery by Skytracking Drone NC, acquired 2025-11-22 to 2025-11-22, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-12-20 to 2025-12-20, 5.0 cm per pixel, published on OpenAerialMap.
The visible-wavelength true color RGB digital camera images were taken by astronauts aboard the International Space Station showing areas affected by the flooding in Hawaii March 2026. Date of Images: April 4, 2026 Suggested Use: This image provides regional context, and may be useful for visualization of the ongoing event. Higher spatial resolution images may be suitable for spatial analysis to support decision making or research applications. Sensor: Camera: Nikon Z9 Focal Length: 200mm Additional Information about the astronaut photography from the ISS. Credits: International Space Station Program, NASA Johnson Space Center Earth Science and Remote Sensing Unit, ARES Division, Exploration Architecture, Integration & Science Directorate Esri REST Endpoint: See URL to the right WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202603_FLOOD_HI/2603_iss/ImageServer/WMSServer Data Download: Full datasets are available for download at the Gateway to Astronaut Photography of Earth. Download for this specific data can be found at: https://eol.jsc.nasa.gov/WebShare/WebShare.pl?folder=NASADisastersProgram
OverviewThis image service provides 2023 orthophotography from the Orthoimagery Aerials2023 Eagle View mosaic dataset. It delivers RGB imagery as a three band, 8 bit raster service with 0.25 meter pixel size and bilinear resampling. The service covers a local area in spatial reference 2881 and is delivered as a managed image collection with catalog access. Raster PropertiesData type: RGB imagery Pixel type: U8 Band count: 3 Band values: Band 1, Band 2, Band 3 Pixel size: 0.25 x 0.25 Dataset format: AMD Compression: None Resampling method: Bilinear Value range: 0 to 255 for each band Mean values: 110.08, 109.55, 82.63 Standard deviations: 31.21, 26.24, 25.53 Histogram range: -0.5 to 255.5 for each band Raster functions: None and Eagle View Stretch Mosaic PropertiesThe service is built from a mosaic dataset and combines multiple raster items on the fly. It supports Catalog, Download, Image, and Metadata capabilities. Users can browse individual catalog items, review metadata, and access imagery for display and download. Supported mosaic methods include NorthWest, Center, LockRaster, ByAttribute, Nadir, Viewpoint, Seamline, and None. The service can composite up to 42 images at once. Catalog fields describe each raster item with metadata such as name, pixel size range, category, tag, group name, product name, center location, and z order. The category domain includes values such as Primary, Overview, Uploaded, and Custom. Geographic CoverageThe imagery covers a local area of approximately 0.43 degrees in latitude and longitude extent, centered in northeastern Florida. Extent:xmin: -81.52329610896626 ymin: 29.256706249842132 xmax: -81.09774534379683 ymax: 29.683933726633093 Spatial reference: 2881 Use CasesThis service supports imagery viewing, catalog browsing, metadata review, and image download workflows. It allows users to copy data and run analysis, and it supports standardized catalog queries with statistics, SQL expressions, ordering, pagination, and distinct queries. Downloads are limited to 20 images per request with a 2048 MB size limit. The service does not provide mensuration capabilities.
Dates of Images: Post-Event: 12/26/2026, 12/27/2026, 12/28/2026, 12/29/2026 Pre-Event: 12/30/2025, 01/01/2026, 01/18/2026, 01/19/2026 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red channels of the respective instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202601_WINTERWX_US/202601_sentinel2/ImageServer/WMSServer
uav imagery by WebODM, acquired 2025-10-05 to 2025-10-05, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Skytracking Drone NC, acquired 2025-04-20 to 2025-04-20, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Philip Gandy, acquired 2025-04-21 to 2025-04-21, 5.5 cm per pixel, published on OpenAerialMap.
Dates of Images: Post-Event: 6/29/2026, 7/02/2026, 7/04/2026 Pre-Event: 6/19/2026 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202607_FIRE_CO/202614_sentinel2/ImageServer/WMSServer