The ORNL DAAC announces the publication of land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004.
LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil. Data set prepared by D.C. Morton, R.S. DeFries, and Y.E. Shimabukuro. This data set provides land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. The classifications were based on 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) 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.
LBA-ECO LC-01 Landsat MSS, TM, ETM+ Imagery, Northern Ecuadorian Amazon: 1973-2002. Data set prepared by S.J. Walsh, R.E. Bilsborrow, and B.G. Frizzelle. This data set contains a time series of early Landsat-4 MSS satellite imagery as well as Landsat-5 TM and Landsat-7 ETM+ satellite imagery of the northern Ecuadorian Amazon.
LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007. Data set prepared by D.C. Morton, R.S. DeFries, J.T. Randerson, L. Giglio, W. Schroeder, and G.R. van der Werf. This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000–2007) and Aqua (2003– 2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections.
LBA was an international research initiative under the leadership of Brazil. The project focused on the climatological, ecological, biogeochemical, and hydrological functions of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. The LBA-ECO component, which was funded by NASA, focused on the question: "How do tropical forest conversion, regrowth, and selective logging influence carbon storage, nutrient dynamics, trace gas fluxes, and the prospect for sustainable land use in Amazonia? "
The ORNL DAAC is a NASA-funded data center archiving and distributing terrestrial ecology and biogeochemical dynamics data.