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LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1648
Project
Published2019-05-31
Updated2019-05-31
Usage13 downloads

Description

This dataset provides estimates of forest aboveground biomass for three study areas and the entire Paragominas municipality, in Para, Brazil, in 2012. Aboveground biomass (in megagrams of carbon per hectare) was measured for inventory plots within the study (focal) areas, and then assimilated and modeled with LiDAR and PALSAR metrics using gradient boosting machines (GBM) to predict spatially explicit forest aboveground biomass and uncertainties for the entire focal areas. The PALSAR data across the three focal areas was combined and used in a GBM model to predict forest aboveground biomass across the entire Paragominas municipality.

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • CARBON
  • BIOSPHERE
  • ECOSYSTEMS
  • TERRESTRIAL ECOSYSTEMS
  • FORESTS
  • SPECTRAL/ENGINEERING
  • LIDAR
  • LIDAR BACKSCATTER
  • BIOSPHERE
  • VEGETATION
  • BIOMASS

Data Use and Citation

This dataset is openly shared, without restriction, in accordance with the NASA Data and Information Policy.

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Crosscite Citation Formatter
Keller, M.M., P. Duffy, and W. Barnett. 2019. LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1648

See our Data Citations and Acknowledgements policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • Estimated_Biomass_Stock_Amazon.pdf