N: 52 S: -52 E: 180 W: -180
Description
This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean canopy height, standard deviation of canopy height, mean ground elevation, standard deviation of ground elevation, and counts of laser footprints per 1-km x 1-km grid cells globally within -52 and 52 degrees latitude. These L3 gridded products were derived from Level 2 (L2) geolocated laser footprint return profile metrics from the GEDI instrument onboard the International Space Station (ISS). Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). Ground elevation is provided as the mean elevation (in meters) of the center of the lowest waveform mode relative to the WGS84 reference ellipsoid. L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group. The data are provided in cloud optimized GeoTIFF format along with companion files as PNG images and PDF documents.
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
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| Mapping field-scale daily evapotranspiration using unbiased spatio-temporal fusion approach over heterogeneous surface |
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| Optimizing wild bird fecal surveillance sites for HPAI through risk estimation using machine learning algorithms |
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| Spaceborne LiDAR-derived height-variable forest wind reduction factors |
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| Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity |
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| The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models |
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| Improving the Estimates of County-Level Forest Attributes Using GEDI and Landsat-Derived Auxiliary Information in FayHerriot Models |
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| GEDI reveals decline in overstorey and increase in understorey canopy |
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| Effectiveness of Predicting EventLevel Interception Losses Across Diverse Vegetated Sites Using Statistical Models |
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| kNN - Bagging NFI, GEDI, Sentinel-2 and Sentinel-1 data to produce estimates of forest volumes |
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| Maps of forest vertical structure for Colombia, a megadiverse country |
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| Spectroscopic Phenological Characterization of Mangrove Communities |
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| Snake diversity, occupancy, and detection on Thailand's largest |
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| How to Find Accurate Terrain and Canopy Height GEDI Footprints in |
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| Assessing vertical accuracy and spatial coverage of ICESat-2 and GEDI spaceborne lidar for creating global terrain models |
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| Continental Scale Assessment of Variation in Floodplain Roughness With |
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| DeltaDTM: A global coastal digital terrain model |
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| Learning from wildfires: A scalable framework to evaluate treatment |
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| Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management |
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| Novel temperatures are already widespread beneath the world's tropical forest canopies |
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| Multi-resolution gridded maps of vegetation structure from GEDI |
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| Toward a forest biomass reference measurement system for remote sensing applications |
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| Human fingerprint on structural density of forests globally |
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| Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem |
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| Assessing the predictive efficacy of six machine learning algorithms for |
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| Integration of VIIRS Observations with GEDI-Lidar Measurements to |
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