Skip to main content

DAAC Home > Get Data > Field Campaigns > LBA (Amazon) > Data Files

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

Data Set Overview

Data setLBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil
DOIhttps://doi.org/10.3334/ORNLDAAC/1185
Release date2013-09-09
ProjectLarge Scale Biosphere-Atmosphere Experiment (LBA-ECO)
Time period2000-09-01 to 2004-12-31

Usage Metrics

CountEarliest DateLatest DateData Usage
Downloads3792013-10-022017-05-15961 total files downloaded

Description

This data set 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.

Data set documentation

Citation

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.

Download citation from Datacite
RISBibTexOther
Crosscite Citation Formatter

Data Files

Sign in to download data set files.

Data File (Granule)File SizeDates
Mato_Grosso_2000_2001_classification_from_modis_phenology.tif 32.8MB 2000-09-01 - 2001-12-31
Mato_Grosso_2003_2004_classification_from_modis_phenology.tif 32.8MB 2003-01-01 - 2004-12-31

Companion Files

Sign in to download companion files.

Data set has 2 companion files.

  • LC22_MODIS_Phenology_Mato_Grosso.pdf
  • morton_mato_grosso_land_cover_chapter_lba_archive.pdf

Visualize and Subset Data