Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data > NASA Projects > Carbon Monitoring System (CMS) > Landing page

LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1644
Version1
Project
Published2019-12-31
Updated2019-12-31
Usage694 downloads
Citations2 publications cited this dataset

Description

This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • FOREST COMPOSITION/VEGETATION STRUCTURE
  • SPECTRAL/ENGINEERING
  • LIDAR
  • LAND SURFACE
  • TOPOGRAPHY
  • TERRAIN ELEVATION
  • DIGITAL ELEVATION/TERRAIN MODEL (DEM)
  • BIOSPHERE
  • VEGETATION
  • CANOPY CHARACTERISTICS

Data Use and Citation

Download citation from Datacite
RISBibTexOther
Crosscite Citation Formatter
dos-Santos, M.N., M.M. Keller, and D.C. Morton. 2019. LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1644

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

Sign in to download files.

Companion Files

Toggle Companion Files

Sign in to download files.

Dataset has 3 companion files.

  • LiDAR_Forest_Inventory_Brazil.pdf
  • cms_brazil_lidar_tile_inventory.kmz
  • cms_brazil_lidar_tile_inventory.csv