Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data > NASA Projects > Large Scale Biosphere-Atmosphere Experiment (LBA-ECO) > Landing page

LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1185
Project
Published2013-09-04
Updated2017-07-06
Usage717 downloads

Description

This data set, LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil, provides land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. The classifications were derived from annual vegetation phenology information from a time series of Collection 4, 16-day MODerate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), and the Enhanced Vegetation Index (EVI) vegetation data, at 250-m resolution. A decision tree classifier was trained using field observations and Landsat TM data of land cover from 2003-2004 to identify seven land-cover classes. The classifier was applied to the 2000-2001 and 2003-2004 MODIS ENVI and EVI data. There are two GeoTIFF (.tif) files with this data set.

Science Keywords

  • LAND SURFACE
  • LAND USE/LAND COVER
  • LAND USE/LAND COVER CLASSIFICATION
  • VEGETATION INDEX

Data Use and Citation

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

Download citation from Datacite
RISBibTexOther
Crosscite Citation Formatter
Morton, D.C., R.S. Defries, and Y.E. Shimabukuro. 2013. LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1185

See our Data Citations and Acknowledgements policy for more information.

Data Files

Sign in to download files.

Companion Files

Expand for companion files
Toggle Companion Files

Sign in to download files.

Dataset has 2 companion files.

  • LC22_MODIS_Phenology_Mato_Grosso.pdf
  • morton_mato_grosso_land_cover_chapter_lba_archive.pdf

Visualize and Subset Data