Overview
DOI | https://doi.org/10.3334/ORNLDAAC/1538 |
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Version | 2 |
Project | |
Published | 2018-11-08 |
Usage | 2117 downloads |
Citations | 1 publication cited this dataset |
Description
This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011. Leaf-off LiDAR data were combined with high-resolution leaf-on agricultural imagery in a model-based stratification that was used to select 848 sampling sites for AGB estimation. Field-based estimates were then related to LiDAR height and volume metrics through random forest regression models across three physiographic regions. Spatial errors were estimated at the pixel level using standard prediction intervals to assess the accuracy of the modeling approach. Estimates of biomass were further validated against the permanent network of FIA plots and compared with existing coarse resolution national biomass maps.
Science Keywords
- BIOSPHERE
- VEGETATION
- CANOPY CHARACTERISTICS
- BIOSPHERE
- VEGETATION
- VEGETATION COVER
- BIOSPHERE
- VEGETATION
- BIOMASS
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- CMS_LiDAR_Biomass_MD_PA_DE.pdf
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Version History
Version | Dataset Title | Published |
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1 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 | 2016-07-12 |
2 | LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2 | 2018-11-08 |