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

Metadata Updated: December 6, 2023

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Assimilated predictions of forest aboveground biomass (megagrams of carbon per hectare) across the Paragominas Municipality, Brazil. (Source file: paragominas_predicted_agb.tif)

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 6, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2408633153-ORNL_CLOUD
Data First Published 2019-05-31
Language en-US
Data Last Modified 2023-06-12
Category CMS, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation 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
Graphic Preview Description Assimilated predictions of forest aboveground biomass (megagrams of carbon per hectare) across the Paragominas Municipality, Brazil. (Source file: paragominas_predicted_agb.tif)
Graphic Preview File https://daac.ornl.gov/CMS/guides/Estimated_Biomass_Stock_Amazon_Fig1.png
Harvest Object Id 4c2688b8-5e85-4441-8882-de35e5928b09
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/1648
Metadata Type geospatial
Old Spatial -49.0 -4.01 -46.0 -2.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 3cfba5c1d0feb591fc3c6f8170be9524e7782382b780574738da8ec55e3c9734
Source Schema Version 1.1
Spatial
Temporal 2012-01-01T00:00:00Z/2013-12-31T23:59:59Z

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