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Using the NASA EOSDIS Common Metadata Repository

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  • ABoVE: Landsat-derived Annual Aboveground Biomass Density and Uncertainty, 1984-2022

    https://cmr.earthdata.nasa.gov/search/concepts/C3895347745-ORNL_CLOUD.xml
    Description:

    This dataset provides annual aboveground biomass (AGB) maps and associated uncertainty maps for Alaska and Canada from 1984 to 2022 at ~30 m resolution (0.00027 degrees). The dataset was derived using predictors from synthetic spectral features from Landsat Collection 2 and Continuous Change Detection and Classification algorithm. Extensive collections of ground plots (n = 45,002) and airborne lidar data (n = 421,942) were compiled for reference AGB in order to calibrate AGB models using Extreme Gradient Boosting (XGBoost) per ecoregion. Fifty AGB predictions were derived, of which the mean and standard deviation was used as per-pixel AGB prediction and uncertainty, respectively. The dataset can promote better understanding of carbon dynamics across arctic and boreal regions of North America. The data are provided in cloud optimized GeoTIFF format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 41.9212 -171.845 82.3001 -52.6617

    ORNL_CLOUD Short Name: ABoVE_AGBD_Uncertainty_Maps_2465 Version ID: 1 Unique ID: C3895347745-ORNL_CLOUD

  • ABoVE: Surface Water Extent, Boreal and Tundra Regions, North America, 1991-2011

    https://cmr.earthdata.nasa.gov/search/concepts/C2162118169-ORNL_CLOUD.xml
    Description:

    This data set provides the location and extent of surface water (open water not including vegetated wetlands) for the entire Boreal and Tundra regions of North America for three epochs, centered on 1991, 2001, and 2011. Each of the products were generated with at least three years of ice-free Landsat imagery. The data are at 30-m resolution and were derived from time series of Landsat 4 and 5 Thematic Mapper (TM) data and Landsat 7 Enhanced Thematic Mapper (ETM+) covering all of Alaska and all provinces of Canada. The overall goal was to generate a map of the nominal extent of water for a given epoch, where nominal is neither the maximum nor the minimum but rather a representative extent for that time period.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 41.7039 -177.475 82.3729 -53.9393

    ORNL_CLOUD Short Name: Decadal_Water_Maps_1324 Version ID: 1.1 Unique ID: C2162118169-ORNL_CLOUD

  • Alabama Remote Sensing Archive Multispectral Imagery of Alabama from Landsat and Skylab

    https://cmr.earthdata.nasa.gov/search/concepts/C1214584460-SCIOPS.xml
    Description:

    Multispectral imagery of the state of Alabama is available from the Geological Survey of Alabama for the time period of 1972-1984. Imagery from the Landsat multispectral scanner (MSS) is available as prints or transparencies for all bands (with selected color composites avaliable) at an approximate scale of 1:1,000,000. MSS data is collected in four spectral bands ranging from 0.5 to 1.1 micrometer with a ground resolution of about 80m. Images available from Skylab 3 and 4 include 9 x 9 prints and transparencies at 1:750,000 (skylab 3) and 1:500,000 (skylab 4). These images were taken in 1973 and are along three tracks; northeast from New Orleans, LA to South Carolina, northeast from Pensacola, FL to Columbus, GA, and from Pearl River, Jackson MI to Pensacola, FL. The multispectral photographic facility onboard Skylab provided imagery in several wavelength bands ranging from 0.5 to 0.9 Micrometers. This camera system provided ground resolution of approximately 40 m in visible wavelengths to 75 m in the infrared. A variety of high and low altitude aircraft imagery of Alabama is also available from the Geological Survey of Alabama. Microfiche images of MSS/TM imagery of North America since 1986 (landsat browse imagery) are also available. Similar imagery for other locations and time periods is available from the Eros Data Center.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24 -92 35 -80

    SCIOPS Short Name: ZZZ302 Version ID: Not provided Unique ID: C1214584460-SCIOPS

  • Amanda Bay Satellite Image Map 1:100 000

    https://cmr.earthdata.nasa.gov/search/concepts/C1214311750-AU_AADC.xml
    Description:

    Satellite image map of Amanda Bay, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1991. The map is at a scale of 1:100 000, and was produced from Landsat 4 TM imagery (124-108, 124-109). It is projected on a Transverse Mercator projection, and shows traverses/routes/foot track charts, glaciers/ice shelves, penguin colonies, stations/bases, runways/helipads, and gives some historical text information. The map has both geographical and UTM co-ordinates.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -70 75 -69 78

    AU_AADC Short Name: amanda_bay_sat Version ID: 1 Unique ID: C1214311750-AU_AADC

  • Arctic National Wildlife Refuge (ANWR) Data Base, U.S. Fish and Wildlife Service, Alaska

    https://cmr.earthdata.nasa.gov/search/concepts/C2231553077-CEOS_EXTRA.xml
    Description:

    The Arctic National Wildlife Refuge (ANWR) is the most northern and one of the largest Refuges within America's National Wildlife Refuge System. The Arctic Refuge is managed by the U.S. Fish and Wildlife Service, U.S. Department of the Interior. The USFWS ANWR site contains information and data on wildlife, habitat, and people in the Arctic Refuge. The Refuge is home to more than 160 bird species, 36 kinds of land mammals, nine marine mammal species, and 36 types of fish. The ANWR geological and land surface databases are available from the Alaska Geospatial Data Clearinghouse (AGDC) at "http://agdc.usgs.gov/data/projects/anwr/webhtml/" The data consists of political boundaries and coastlines, land cover and vegetation maps, rivers, streams and wetlands, elevation contours, satellite images (Landsat-MSS and Landsat-TM), surficial geology, and coastal bathymetry as well as Alaska statewide land characterization and geospatial data.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 53 -180 74 -130

    CEOS_EXTRA Short Name: EARTH_LAND_USFWS_AK_Wildlife1 Version ID: Not provided Unique ID: C2231553077-CEOS_EXTRA

  • BOREAS Landsat MSS Imagery: Digital Counts

    https://cmr.earthdata.nasa.gov/search/concepts/C2928014125-ORNL_CLOUD.xml
    Description:

    The Earth Resources Technology Satellite (ERTS) Program launched the first of a series of satellites (ERTS-1) in 1972. Part of the NASA Earth Resources Survey Program, the ERTS Program and the ERTS satellites were later renamed Landsat to better represent the civil satellite program's prime emphasis on remote sensing of land resources. Landsat satellites 1 through 5 carry the MSS sensor. CCRS and BOREAS personnel gathered a set of MSS images from Landsat satellites 1, 2, 4 and 5 covering the dates of 21-Aug-1972 to 05-Sep-1988. The data are provided in binary image format files. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed and the image data files downloaded using a convenient viewer utility.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 53.42 -106.32 56.25 -97.23

    ORNL_CLOUD Short Name: lsatmssd_435 Version ID: 1 Unique ID: C2928014125-ORNL_CLOUD

  • BOREAS Landsat TM Level-3a Imagery: Scaled At-Sensor Radiance in BSQ Format

    https://cmr.earthdata.nasa.gov/search/concepts/C2927613321-ORNL_CLOUD.xml
    Description:

    For BOREAS, the level-3a Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. Although very similar in content to the level-3s Landsat TM products, the level-3a images were created to provide users with a more usable BSQ format and to provide information that permitted direct determination of per-pixel latitude and longitude coordinates. Geographically, the level-3a images cover the BOREAS NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. The images are available in binary, image-format files. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed and the image data files downloaded using a convenient viewer utility.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 53.42 -106.23 56.25 -97.23

    ORNL_CLOUD Short Name: ltm_ii3a_280 Version ID: 1 Unique ID: C2927613321-ORNL_CLOUD

  • CALFIN Subseasonal Greenland Glacial Terminus Positions V001

    https://cmr.earthdata.nasa.gov/search/concepts/C3298062391-NSIDC_CPRD.xml
    Description:

    This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 60 -75 80 -15

    NSIDC_CPRD Short Name: NSIDC-0764 Version ID: 1 Unique ID: C3298062391-NSIDC_CPRD

  • CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019

    https://cmr.earthdata.nasa.gov/search/concepts/C3707308646-ORNL_CLOUD.xml
    Description:

    This dataset provides 20-year tree cover (TC) estimates at 30-m spatial resolution for Mexico from 2000 to 2019 using Landsat time series, airborne LiDAR, and machine learning. The TC data (hereafter, CMS-TC) offers accurate and consistent national-scale percent tree cover estimates with an overall coefficient of determination (R squared) of 0.81 and a root mean square error (RMSE) of 11.90%. The CMS-TC product is essential for tracking tree cover and aboveground biomass changes, monitoring land use dynamics, supporting biodiversity conservation, and informing climate and land use policy decisions. The data are provided in GeoTIFF format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 13.4057 -119.226 33.7967 -84.6252

    ORNL_CLOUD Short Name: Tree_Canopy_Cover_Mexico_V2_2445 Version ID: 2 Unique ID: C3707308646-ORNL_CLOUD

  • Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005

    https://cmr.earthdata.nasa.gov/search/concepts/C2773245356-ORNL_CLOUD.xml
    Description:

    This data set provides land use and land cover (LULC) classification products at 100-m resolution for India at decadal intervals for 1985, 1995 and 2005. The data were derived from Landsat 4 and 5 Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Multispectral (MSS) data, India Remote Sensing satellites (IRS) Resourcesat Linear Imaging Self-Scanning Sensor-1 or III (LISS-I, LISS-III) data, ground truth surveys, and visual interpretation. The data were classified according to the International Geosphere-Biosphere Programme (IGBP) classification scheme.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 6.71167 66.305 36.3219 98.932

    ORNL_CLOUD Short Name: Decadal_LULC_India_1336 Version ID: 1 Unique ID: C2773245356-ORNL_CLOUD