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  • ABoVE: Wetland Type, Slave River and Peace-Athabasca Deltas, Canada, 2007 and 2017

    https://cmr.earthdata.nasa.gov/search/concepts/C2240727799-ORNL_CLOUD.xml
    Description:

    This dataset provides ecosystem-types for the Slave River Delta (SRD) and Peace-Athabasca Delta (PAD), Canada, for the time periods circa 2007 and circa 2017. The image resolution is 12.5 m with 0.2-hectare minimum mapping unit. Included are an 18-class modified Enhanced Wetland Classification (EWC) scheme for wetland, peatland, and upland areas. Classes were derived from a Random Forest classification trained on multi-seasonal moderate-resolution images and synthetic aperture radar (SAR) imagery sourced from aerial and satellite sensors, field data, and calculated indices. Indices included Height Above Nearest Drainage (HAND) and Topographic Position Index (TPI), both derived from a digital elevation model, to differentiate between land cover types. The c. 2007 remote sensing data were comprised of early and late growing season Landsat-5, ERS2, L-Band PALSAR from 2006 to 2010 and growing season Landsat thermal composites. The c. 2017 remote sensing data were comprised of early and late growing season Landsat-8 and L-Band PALSAR-2 from 2017 to 2019, Sentinel-1 June VV and VH mean and standard deviations, and growing season Landsat thermal composites. Elevation indices from multi-resolution TPI and HAND were created from the Japan Aerospace Exploration Agency Advanced Land Observing Satellite 30 m Global Spatial Data Model. Also included are the images used for classification and the classification error matrices for each map and time period. Data are provided in GeoTIFF and GeoPackage file formats.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 57.77 -115.29 61.79 -109.64

    ORNL_CLOUD Short Name: Ecosystem_Map_SRD_PAD_1947 Version ID: 1 Unique ID: C2240727799-ORNL_CLOUD

  • ALOS-2/CIRC L1 Radiance

    https://cmr.earthdata.nasa.gov/search/concepts/C2698130483-JAXA.xml
    Description:

    ALOS-2/CIRC L1 Radiance is obtained by Compact Infrared Camera (CIRC) onboard ALOS-2 and produced by the Japan Aerospace Exploration Agency (JAXA). The Advanced Land Observing Satellite-2 (ALOS-2, "DAICHI-2") is Sun-synchronous sub-recurrent Orbit satellite launched on May 24, which is a follow-on mission from the ALOS "Daichi". CIRC is an infrared sensor primarily intended for detecting forest fires, which present a serious problem for the various countries of Southeast Asia, particularly considering the effects of global warming and climate change. The spatial resolution and field of view are 210 m and 128 km × 96 km from an altitude of 628 km in the case of ALOS-2. Main characteristic of the CIRC is also an athermal optics. The athermal optics compensates the defocus due to the temperature change by using Germanium and Chalcogenide glass which have different coefficient of thermal expansion and temperature dependence of refractive index.This dataset includes radiance data derived from Level 0 data and the radiometric correction applied. The physical quantity is W/um/sr/m^2.The provided format is GeoTIFF. The spatial resolution is about 210 m. The projection method is UTM. The current version is 11.0.

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

    JAXA Short Name: ALOS-2_CIRC_L1_RAD Version ID: NA Unique ID: C2698130483-JAXA

    This collection does not contain any granules

  • Carbon Pools across CONUS using the MaxEnt Model, 2005, 2010, 2015, 2016, and 2017

    https://cmr.earthdata.nasa.gov/search/concepts/C2389289428-ORNL_CLOUD.xml
    Description:

    This dataset provides annual estimates of six carbon pools, including forest aboveground live biomass, belowground biomass, aboveground dead biomass, belowground dead biomass, litter, and soil organic matter, across the conterminous United States (CONUS) for 2005, 2010, 2015, 2016, and 2017. Carbon stocks were estimated using a modified MaxEnt model. Measurements of pixel-specific site conditions from remote sensing data were combined with field inventory data from the U.S. Forest Service Forest Inventory and Analysis (FIA). Remote sensing data inputs included Thematic Mapper on Landsat 5, Operational Land Imager on Landsat 8, Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua, microwave radar measurements from Phased Array type L-band Synthetic Aperture Radar (PALSAR) on Advanced Land Observation Satellite (ALOS) and PALSAR-2 ALOS-2, airborne imagery from National Agriculture Imagery Program (NAIP), and the digital elevation model from the Shuttle Radar Topography Mission (SRTM). Data from satellite and airborne sources were co-registered on a common 100 m (1 ha) grid.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 21.59 -130.23 52.86 -64.13

    ORNL_CLOUD Short Name: CMS_CONUS_Biomass_1752 Version ID: 1 Unique ID: C2389289428-ORNL_CLOUD

  • CMS: Terrestrial Carbon Stocks, Emissions, and Fluxes for Conterminous US, 2001-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C2345896855-ORNL_CLOUD.xml
    Description:

    This dataset provides estimates of carbon pools, fluxes, and associated uncertainties across the contiguous USA (CONUS) at 0.5-degree resolution for all terrestrial land cover types. Carbon pools include labile carbon, foliar carbon, fine root, woody carbon, litter carbon, and soil organic carbon. Carbon fluxes include gross primary production (GPP), net primary production (NPP), net biome exchange, autotrophic respiration, and heterotrophic respiration. The modeled estimates are provided as monthly averages over the 16-year period, 2001 through 2016. The data were derived from the CARbon DAta MOdel fraMework (CARDAMOM) that included climate data, and above and below ground biomass maps of CONUS for the years 2005, 2010, 2015 and 2016 as input data sources to this model-data fusion framework. The input data were integrated into the CARDAMOM model to constrain on the terrestrial carbon and to specifically attribute changes of forest carbon stocks and spatial distributions of carbon emissions and removals across forested lands. United States Forest Service's Forest Inventory and Analysis (FIA) plot data were used to train models for the prediction of forest above-ground biomass (AGB).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 25 -130 50 -60

    ORNL_CLOUD Short Name: C_Pools_Fluxes_CONUS_1837 Version ID: 1 Unique ID: C2345896855-ORNL_CLOUD

  • ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v2

    https://cmr.earthdata.nasa.gov/search/concepts/C2548142753-FEDEO.xml
    Description:

    This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. The data products consist of two (2) global layers that include estimates of:1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)This release of the data is version 2, with data provided in both netcdf and geotiff format. The quantification of AGB changes by taking the difference of two maps is strongly discouraged due to local biases and uncertainties. Version 3 maps will ensure a more realistic representation of AGB changes.

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

    FEDEO Short Name: 84403d09cef3485883158f4df2989b0c Version ID: NA Unique ID: C2548142753-FEDEO

    This collection does not contain any granules

  • MEaSUREs Phase-Based Antarctica Ice Velocity Map V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1699753973-NSIDC_ECS.xml
    Description:

    This data set, as part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, combines interferometric phases from multiple satellite interferometric synthetic-aperture radar systems to derive the first comprehensive phase-based map of Antarctic ice velocity. The precision in ice speed and flow direction over 80% of Antarctica is better than prior mappings based on feature and speckle tracking by a factor of 10. Phase-derived velocity mostly covers the years between 2007 and 2018, while tracking-derived velocity (for regions along the coasts) is mostly found in the years from 2013 to 2017. Additional data acquired between 1996 and 2018 were used as needed to maximize coverage. See <a href="https://nsidc.org/data/measures/aiv">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 -60 180

    NSIDC_ECS Short Name: NSIDC-0754 Version ID: 1 Unique ID: C1699753973-NSIDC_ECS