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  • ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014

    https://cmr.earthdata.nasa.gov/search/concepts/C2111720412-ORNL_CLOUD.xml
    Description:

    This dataset provides estimated annual aboveground biomass (AGB) density for live woody (tree and shrub) species and corresponding standard errors at a 30 m spatial resolution for the boreal forest biome portion of the Core Study Domain of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) Project (Alaska and Canada) over the time period 1984-2014. The data were derived from a time series of Landsat-5 and Landsat-7 surface reflectance imagery and full-waveform lidar returns from the Geoscience Laser Altimeter System (GLAS) flown onboard IceSAT from 2004 to 2008. The Change Detection and Classification (CCDC) model-fitting algorithm was used to estimate the seasonal variability in surface reflectance, and AGB density data were produced by applying allometric equations to the GLAS lidar data. A Gradient Boosted Machines machine learning algorithm was used to predict annual AGB density across the study domain given the seasonal variability in surface reflectance and other predictors. The data received statistical smoothing to reduce noise and uncertainty was estimated at the pixel level. These data contribute to the characterization of how biomass stocks are responding to climate and disturbance in boreal forests.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 51.78 -165.41 69.73 -101.74

    ORNL_CLOUD Short Name: Annual_30m_AGB_1808 Version ID: 1 Unique ID: C2111720412-ORNL_CLOUD

  • ABoVE: Annual Phenology Derived from Landsat across the ABoVE Core Domain, 1984-2014

    https://cmr.earthdata.nasa.gov/search/concepts/C2111930592-ORNL_CLOUD.xml
    Description:

    This dataset provides annual maps of the timing of spring onset with leaf emergence, of autumn onset with leaf senescence, and of peak greenness for each 30 m pixel derived from Landsat time series of Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) observations from 1984 to 2014. The ABoVE core domain includes 169 ABoVE grid tiles across Alaska, USA and Alberta, British Columbia, Northwest Territories, Nunavut, Saskatchewan, and Yukon, Canada. The data provided for deriving seasonality includes the total number of cloud-free observations, r-squared values between observed and spline-predicted Enhanced Vegetation Index (EVI), long-term average minimum EVI, long-term average maximum EVI, long-term average spring onset, long-term average autumn onset, annual spring onset, and annual autumn onset. The data provided for peak greenness includes annual peak Normalized Difference Vegetation Index (NDVI), Normalized Burn Ratio (NBR), annual composite red reflectance, annual composite NIR reflectance, annual composite shortwave infrared reflectance (band 6, SWIR1), annual composite shortwave infrared reflectance (band 7, SWIR2), number of dates used to calculate composites, and day of year of associated maximum composite.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50.26 -170.01 75.01 -98.97

    ORNL_CLOUD Short Name: Annual_Seasonality_Greenness_1698 Version ID: 1 Unique ID: C2111930592-ORNL_CLOUD

  • ABoVE: Ecosystem Map, Great Slave Lake Area, Northwest Territories, Canada, 1997-2011

    https://cmr.earthdata.nasa.gov/search/concepts/C2143402730-ORNL_CLOUD.xml
    Description:

    This dataset provides an ecosystem type map at 12.5 meter pixel spacing and 0.2 ha minimum mapping unit for the area surrounding Great Slave Lake, Northwest Territories, Canada for the time period 1997 to 2011. The map includes nine classes for peatland, wetland, and upland areas derived from a Random Forest classification trained on multi-date, multi-sensor remote sensing images across the study extent, and using field data and high-resolution Worldview-2 image interpretation for training and validation. The nine classes are: Water, Marsh, Swamp, Open Fen, Treed Fen, Bog, Upland Deciduous, Upland Conifer, and Sparsely Vegetated. A tenth map class identifies areas of historical fires (prior to 2011) that are currently undergoing post-fire successional revegetation. This dataset provides an ecosystem type map of the area before the large fire season of 2014 to better understand the effects of fires in the area.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 58.51 -123.04 65.15 -109.46

    ORNL_CLOUD Short Name: Great_Slave_Lake_Ecosystem_Map_1695 Version ID: 1 Unique ID: C2143402730-ORNL_CLOUD

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

    https://cmr.earthdata.nasa.gov/search/concepts/C2170971358-ORNL_CLOUD.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_CLOUD Short Name: Maps_AGB_North_Slope_AK_1565 Version ID: 1 Unique ID: C2170971358-ORNL_CLOUD

  • ABoVE: Lake Growing Season Green Surface Reflectance Trends, AK and Canada, 1984-2019

    https://cmr.earthdata.nasa.gov/search/concepts/C2143401725-ORNL_CLOUD.xml
    Description:

    This dataset provides an annual time series of Landsat green surface reflectance and the derived annual trend during the growing season (June and July) for 472,890 lakes across the ABoVE Extended Study Domain from 1984 to 2019. The reflectance data are from Landsat-5, Landsat-7, and Landsat-8 sensors for the green band (center wavelength 560 nm). Over 270,000 Landsat scenes were evaluated and quality assured to be cloud-free and over water. Lakes were selected from HydroLAKES, a global database of lakes of at least 10 ha. Lake surface reflectance was extracted from a 3-by-3-pixel area centered on each lake centroid from the selected Landsat scenes determined from lake polygons. This dataset demonstrates changes in lake color over time in the arctic and boreal regions of North America. Color is relevant for understanding physical, ecological, and biogeochemical processes in some of the world’s highest concentrations of lakes where climate change may have significant impacts.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 49.54 -168.1 75 -81.23

    ORNL_CLOUD Short Name: ABoVE_GrowingSeason_Lake_Color_1866 Version ID: 1 Unique ID: C2143401725-ORNL_CLOUD

  • ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.xml
    Description:

    This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 31.49 -180 90 180

    ORNL_CLOUD Short Name: Tundra_Greeness_Temp_Trends_1893 Version ID: 1 Unique ID: C2143401680-ORNL_CLOUD

  • ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019

    https://cmr.earthdata.nasa.gov/search/concepts/C2262495772-ORNL_CLOUD.xml
    Description:

    This dataset provides information on interannual trends in annual maximum vegetation greenness from 1985 to 2019 for recently undisturbed areas in the boreal forest biome. Multi-decadal changes in remotely sensed vegetation greenness provide evidence of an emerging boreal biome shift driven by climate warming. Annual maximum vegetation greenness was assessed at about 100,000 random sample locations using an ensemble of spectral vegetation indices (NDVI, EVI2, kNDVI, and NIRv) derived from Landsat products. The dataset provides raster data summarizing vegetation greenness trends for sample locations stratified by Ecological Land Unit in GeoTIFF format. These raster data span the circum-hemispheric boreal forest biome between 45 to 70 degrees north at 300 m resolution. Estimates of uncertainty were generated using Monte Carlo simulations. Interannual trends in annual maximum vegetation greenness from 1985 to 2019 and 2000 to 2019 are provided for sample locations with adequate data for time series analysis; these data are in comma-separated values (CSV) format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 45 -180 72 180

    ORNL_CLOUD Short Name: BorealForest_Greenness_Trends_2023 Version ID: 1 Unique ID: C2262495772-ORNL_CLOUD

  • ABoVE: Landsat-derived Annual Disturbance Agents Across ABoVE Core Domain, 1987-2012

    https://cmr.earthdata.nasa.gov/search/concepts/C2226005584-ORNL_CLOUD.xml
    Description:

    This dataset provides spatial data on disturbance agents of fire, insects, and logging in the Arctic Boreal Vulnerability Experiment (ABoVE) core domain at an annual time step from 1987-2012 and 30 m resolution. Using a time-series of Landsat data, the three disturbance types were identified by abrupt changes in Tasseled Cap (dTC) indices of brightness, greenness, and wetness. Disturbances were detected by a Continuous Change Detection and Classification (CCDC) harmonic regression model applied to the time series. The dTC indices and disturbance results are provided.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50.26 -169.96 75.69 -98.97

    ORNL_CLOUD Short Name: ABoVE_ForestDisturbance_Agents_1924 Version ID: 1 Unique ID: C2226005584-ORNL_CLOUD

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

    https://cmr.earthdata.nasa.gov/search/concepts/C2143403402-ORNL_CLOUD.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_CLOUD Short Name: Annual_Landcover_ABoVE_1691 Version ID: 1 Unique ID: C2143403402-ORNL_CLOUD

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

    https://cmr.earthdata.nasa.gov/search/concepts/C2111787144-ORNL_CLOUD.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_CLOUD Short Name: ABoVE_Fire_Severity_dNBR_1564 Version ID: 1 Unique ID: C2111787144-ORNL_CLOUD