OpenSearch

Using the NASA EOSDIS Common Metadata Repository

Collection Search

  • ABoVE: Landsat-derived Burn Scar dNBR across Alaska and Canada, 1985-2015

    https://cmr.earthdata.nasa.gov/search/concepts/C1536980561-ORNL_DAAC.xml
    Description:

    This dataset contains differenced Normalized Burned Ratio (dNBR) at 30-m resolution calculated for burn scars from fires that occurred within the Arctic Boreal and Vulnerability Experiment (ABoVE) Project domain in Alaska and Canada during 1985-2015. The fire perimeters were obtained from the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) fire occurrence datasets. Only burns with an area larger than 200-ha were included. The dNBR for each burn scar at 30-m pixel resolution was derived from pre- and post-burn Landsat 5, 7, and 8 scenes within a 5-km buffered area surrounding each burn scar using Landsat LEDAPS surface reflection image pairs.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50.25 -168.42 71.36 -101.74

    ORNL_DAAC Short Name: ABoVE_Fire_Severity_dNBR_1564 Version ID: 1 Unique ID: C1536980561-ORNL_DAAC

  • ABoVE: River Ice Breakup and Freeze-up Stages, Yukon River Basin, Alaska, 1972-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C1625511344-ORNL_DAAC.xml
    Description:

    This dataset provides estimates of river ice breakup and freeze-up stages along selected reaches of the Yukon and Tanana Rivers in the Yukon River Basin in interior Alaska from 1972-2016. Time series of Landsat satellite images were visually interpreted to identify the day of year and characteristics of the different stages of river ice seasonality. The stages of breakup or freeze-up were distinguished from one another based on the spatial extent and patterns of open water and ice cover. Images were displayed as false color composites, with the shortwave infrared (SWIR), near infrared (NIR), and green bands represented by red, green, and blue.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 62.9 -160.07 66.36 -142.99

    ORNL_DAAC Short Name: River_Ice_Breakup_Freezeup_1697 Version ID: 1 Unique ID: C1625511344-ORNL_DAAC

  • ABoVE: Riverbank Erosion and Vegetation Changes, Yukon River Basin, Alaska, 1984-2017

    https://cmr.earthdata.nasa.gov/search/concepts/C1581602131-ORNL_DAAC.xml
    Description:

    This dataset provides a time series of riverbank erosion and vegetation colonization along reaches of the Yukon River (3 study areas), Tanana and Nenana Rivers (1 area), and Chandalar River (1 area) in interior Alaska over the period 1984-2017. The change data were derived from selected 30-m images from Landsat TM, Landsat ETM+, and Landsat Operational Land Imager (OLI) surface reflectance products. Image classification used the Normalized Differenced Vegetation Index (NDVI) with an NDVI threshold of 0.2 to differentiate vegetated from non-vegetated pixels. Images were assigned to one of seven or eight multiyear intervals, within the 1984-2017 overall range, for each study area. Time intervals vary by study site. Change detection identified shifts from one time interval to the next: changes from vegetated to non-vegetated classes were considered riverbank erosion and changes from non-vegetated to vegetated classes were considered vegetation colonization.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 61.91 -161.46 68.15 -143.3

    ORNL_DAAC Short Name: Erosion_Vegetation_Yukon_1616 Version ID: 1 Unique ID: C1581602131-ORNL_DAAC

  • CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C1616834192-ORNL_DAAC.xml
    Description:

    This dataset provides estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of six countries: Gabon, Jamaica, Mozambique, Peru, Senegal, and Tanzania. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30 m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -28 -82 19 41

    ORNL_DAAC Short Name: CMS_Mangrove_Cover_1670 Version ID: 1 Unique ID: C1616834192-ORNL_DAAC

  • COLLABORATIVE RESEARCH; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica

    https://cmr.earthdata.nasa.gov/search/concepts/C1214604853-SCIOPS.xml
    Description:

    Collaborative With: McPhee 0732804, Holland 0732869, Truffer 0732730, Stanton 0732926, Anandakrishnan 0732844 Title: Collaborative Research: IPY: Ocean-Ice Interaction in the Amundsen Sea Sector of West Antarctica The Office of Polar Programs, Antarctic Integrated and System Science Program has made this award to support an interdisciplinary study of the effects of the ocean on the stability of glacial ice in the most dynamic region the West Antarctic Ice Sheet, namely the Pine Island Glacier in the Amundsen Sea Embayment. The collaborative project builds on the knowledge gained by the highly successful West Antarctic Ice Sheet program and is being jointly sponsored with NASA. Recent observations indicate a significant ice loss, equivalent to 10% of the ongoing increase in sea-level rise, in this region. These changes are largest along the coast and propagate rapidly inland, indicating the critical impact of the ocean on ice sheet stability in the region. While a broad range of remote sensing and ground-based instrumentation is available to characterize changes of the ice surface and internal structure (deformation, ice motion, melt) and the shape of the underlying sediment and rock bed, instrumentation has yet to be successfully deployed for observing boundary layer processes of the ocean cavity which underlies the floating ice shelf and where rapid melting is apparently occurring. Innovative, mini ocean sensors that can be lowered through boreholes in the ice shelf (about 500 m thick) will be developed and deployed to automatically provide ocean profiling information over at least three years. Their data will be transmitted through a conducting cable frozen in the borehole to the surface where it will be further transmitted via satellite to a laboratory in the US. Geophysical and remote sensing methods (seismic, GPS, altimetry, stereo imaging, radar profiling) will be applied to map the geometry of the ice shelf, the shape of the sub ice-shelf cavity, the ice surface geometry and deformations within the glacial ice. To integrate the seismic, glaciological and oceanographic observations, a new 3-dimensional coupled ice-ocean model is being developed which will be the first of its kind. NASA is supporting satellite based research and the deployment of a robotic-camera system to explore the environment in the ocean cavity underlying the ice shelf and NSF is supporting all other aspects of this study.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -75.0427 -100.728 -75.0427 -100.728

    SCIOPS Short Name: Bindschadler_0732906 Version ID: Not provided Unique ID: C1214604853-SCIOPS

  • GFOI_Borneo_Island

    https://cmr.earthdata.nasa.gov/search/concepts/C1214604826-SCIOPS.xml
    Description:

    The Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observations, developing accepted methods and protocols, and promoting ongoing research and development; and work with national governments that report into international forest assessments (such as the global Forest Resources Assessment (FRA) of the Food and Agriculture Organization, FAO) and the national greenhouse gas inventories reported to the UN Framework Convention on Climate Change (UNFCCC) using methods of the Intergovernmental Panel on Climate Change (IPCC).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 1 114 1 114

    SCIOPS Short Name: GFOI_Boreno_Island Version ID: Not provided Unique ID: C1214604826-SCIOPS

  • Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Africa 30 m V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1429296018-LPDAAC_ECS.xml
    Description:

    The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over the continent of Africa for nominal year 2015 at 30 meter resolution (GFSAD30AFCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AFCE data product uses two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), and one object-oriented classifier, Recursive Hierarchical Image Segmentation (RHSEG). The classifiers retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 MultiSpectral Instrument (MSI) data and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30AFCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -37 -37 36.5 54.8

    LPDAAC_ECS Short Name: GFSAD30AFCE Version ID: 001 Unique ID: C1429296018-LPDAAC_ECS

  • Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand, China, Mongolia 30 m V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1431392676-LPDAAC_ECS.xml
    Description:

    The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Australia, New Zealand, China, and Mongolia for nominal year 2015 at 30 meter resolution (GFSAD30AUNZCNMOCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AUNZCNMOCE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. Each GFSAD30AUNZCNMOCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -62 60 59 180

    LPDAAC_ECS Short Name: GFSAD30AUNZCNMOCE Version ID: 001 Unique ID: C1431392676-LPDAAC_ECS

  • Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Europe, Central Asia, Russia, Middle East product 30 m V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1431401246-LPDAAC_ECS.xml
    Description:

    The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Europe, Central Asia, Russia and the Middle East for nominal year 2015 at 30 meter resolution (GFSAD30EUCEARUMECE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30EUCEARUMECE product uses a pixel-based supervised random forest machine learning algorithm to retrieve cropland extent from a combination of Landsat 7 Enhanced Thematic Mapper (ETM+), Landsat 8 Operational Land Imager (OLI) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30EUCEARUMECE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -180 90 180

    LPDAAC_ECS Short Name: GFSAD30EUCEARUMECE Version ID: 001 Unique ID: C1431401246-LPDAAC_ECS

  • Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South America product 30 m V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1431432916-LPDAAC_ECS.xml
    Description:

    The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over South America for nominal year 2015 at 30 meter resolution (GFSAD30SACE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30SACE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30SACE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -60 -110 15 -20

    LPDAAC_ECS Short Name: GFSAD30SACE Version ID: 001 Unique ID: C1431432916-LPDAAC_ECS