The ORNL DAAC announces the publication of image and land cover transition data sets for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. These data sets were prepared by D.A. Roberts, I. Numata, K.W. Holmes, G.T. Batista, T. Krug, A.L. Monteiro, R.L. Powell, and O.A. Chadwick.
LBA-ECO ND-01 Fractional Land Cover Images, Rondonia, Brazil: 1984-2000. This data set provides fractional land cover type images for shade, green vegetation (GV), non-photosynthetic vegetation (NPV), and soil for the regions of JiParana, PortoVelho, Luiza, Ariquemes, and Cacoal in the state of Rondonia, Brazil, for the period 1984 to 2000. The images were derived with a spectral mixture analysis (SMA) of Landsat Thematic Mapper (TM) time series scenes for each of these areas.The images are 30-m Landsat resolution. After SMA, many of the images were then processed to produce the land cover transition maps for the data set below.
LBA-ECO ND-01 Primary Forests Land Cover Transition Maps, Rondonia, Brazil: 1975-1999. This data set provides classified land cover transition images (maps) derived from Landsat Thematic Mapper (TM) and Multispectral Scanner (MSS) imagery for Ariquemes, Luiza, and Ji-Paran&x00E1; areas in Rondonia, Brazil, at 30-m resolution.
Images depict the age, relative to the year 2000, when primary forests transitioned into a nonforest class. For example, a value of 25 means that the primary forest was cut in 1975 -- 25 years before 2000.
Temporal changes in three regions are represented by 31 TM scenes acquired between 1984 and 1999, and a pair of MSS scenes from 1975 and 1978.
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.