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Using the NASA EOSDIS Common Metadata Repository

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  • A bathymetric Digital Elevation Model (DEM) of Brown Bay, Windmill Islands

    https://cmr.earthdata.nasa.gov/search/concepts/C1214308318-AU_AADC.xml
    Description:

    This dataset is a Digital Elevation Model (DEM) of Brown Bay, Windmill Islands and contours and bathymetric contours derived from the DEM. The data are stored in a UTM zone 49 projection. They were created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA ARE NOT FOR NAVIGATION PURPOSES.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -66.281 110.54 -66.279 110.548

    AU_AADC Short Name: brownbay_bathy_dem Version ID: Not provided Unique ID: C1214308318-AU_AADC

  • A bathymetric Digital Elevation Model (DEM) of Newcomb Bay, Windmill Islands

    https://cmr.earthdata.nasa.gov/search/concepts/C1214311215-AU_AADC.xml
    Description:

    A Digital Elevation Model (DEM) of Newcomb Bay, Windmill Islands and terrestrial and bathymetric contours derived from the DEM. The data is stored in a UTM zone 49(WGS-84) projection. Heights are referenced to mean sea level. It was created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA IS NOT FOR NAVIGATION PURPOSES.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -66.282 110.512 -66.256 110.566

    AU_AADC Short Name: newcomb_bay_bathy_dem Version ID: 1 Unique ID: C1214311215-AU_AADC

  • ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C1456630397-ORNL_DAAC.xml
    Description:

    This dataset includes 30-m gridded estimates of total plant aboveground biomass (AGB), the shrub AGB, and the shrub dominance (shrub/plant AGB) for non-water portions of the Beaufort Coastal Plain and Brooks Foothills ecoregions of the North Slope of Alaska. The estimates were derived by linking biomass harvests from 28 published field site datasets with NDVI from a regional Landsat mosaic derived from Landsat 5 and 7 satellite imagery. The data cover the period 2007-06-01 to 2016-08-31.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 64.73 -168.58 76.23 -111.55

    ORNL_DAAC Short Name: Maps_AGB_North_Slope_AK_1565 Version ID: 1 Unique ID: C1456630397-ORNL_DAAC

  • ABoVE: Landsat-derived Annual Dominant Land Cover Across ABoVE Core Domain, 1984-2014

    https://cmr.earthdata.nasa.gov/search/concepts/C1631206170-ORNL_DAAC.xml
    Description:

    This dataset provides two 30-m resolution time series products of annual land cover classifications over the Arctic Boreal Vulnerability Experiment (ABoVE) core domain for each year of the period 1984-2014. The data are the annual dominant plant functional type in a given 30-m pixel derived from Landsat surface reflectance, landcover training data mapped across the ABoVE domain (using Random Forests modeling, with clustering and interpretation of field photography) and very high resolution imagery to assign land cover classifications. One product has a 15-class land cover classification that breaks out forest and shrub types into several additional classes; the other product provides a simplified, 10-class approach. Classification accuracy assessment results are provided per year. Assessments were based on a probability-based random sample of reference data that supported statistically robust estimation of areas and uncertainties in mapped areas.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50.26 -170.01 76.23 -98.97

    ORNL_DAAC Short Name: Annual_Landcover_ABoVE_1691 Version ID: 1 Unique ID: C1631206170-ORNL_DAAC

  • 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: NDVI Trends across Alaska and Canada from Landsat, 1984-2012

    https://cmr.earthdata.nasa.gov/search/concepts/C1548587534-ORNL_DAAC.xml
    Description:

    This dataset provides the summer NDVI trend and trend significance for the period 1984-2012 over Alaska and Canada. The NDVI were calculated per-pixel from all available peak-summer 30-m Landsat 5 and 7 surface reflectance data for the period. NDVI time series were assembled for each 30-m land location (i.e., non-water, non-snow), from observations that were unaffected by clouds as indicated by data-quality masks and following additional processing to remove anomalous NDVI values. A simple linear regression via ordinary least squares was applied to the per-pixel NDVI time series. The slope of the regression was taken as the annual NDVI trend (unit NDVI change per year) and is reported in the "trend" data files. A Student's t-test was used to assess the significance of the trend and the per-pixel significance is reported in the "trend_sig" data files. A significant positive slope indicates a greening trend, and a significant negative slope indicates a browning trend.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 41.61 -169.97 80.51 -50.17

    ORNL_DAAC Short Name: Vegetation_greenness_trend_1576 Version ID: 1 Unique ID: C1548587534-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

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

    https://cmr.earthdata.nasa.gov/search/concepts/C1281783448-ORNL_DAAC.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: 41.7 -177.48 82.37 -53.94

    ORNL_DAAC Short Name: Decadal_Water_Maps_1324 Version ID: 1.1 Unique ID: C1281783448-ORNL_DAAC

  • Active Tectonics of the Northern Dead Sea Fault System in Syria and Lebanon

    https://cmr.earthdata.nasa.gov/search/concepts/C1214585960-SCIOPS.xml
    Description:

    Cornell University is conducting an interdisciplinary study of the active tectonics of the Dead Sea Fault System (DSFS) in Syria and Lebanon. One motivation for this research is the lack of information on this key plate boundary in the eastern Mediterranean tectonic puzzle. In collaboration with researchers in the region, as well as colleagues in the U.S. and France, this project has several facets: -Neotectonic/paleoseismic field-based studies to assess the late Quaternary rates of deformation and the geological record of late Pleistocene and Holocene earthquakes. -GPS geodesy to measure short-term crustal deformations -Remote sensing applications (InSAR, Landsat, etc.) to identify the possible regional extent of the neotectonic deformations. These studies are strengthened by considerable work on the historical and archeological record of earthquakes in Syria and Lebanon previous conducted by colleagues in Syria, as well as ongoing seismological studies by Syrian colleagues.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 33 35 38 39

    SCIOPS Short Name: GEO_CORNELL_ACTIVE_TECT Version ID: Not provided Unique ID: C1214585960-SCIOPS