dataset : LBA-ECO ND-01 Land Cover Classification, Rondonia, Brazil: 1975-2000

Oak Ridge National Laboratory Distributed Active Archive Center

nasa-ornldaac-1259

LBA-ECO ND-01 Land Cover Classification, Rondonia, Brazil: 1975-2000

ABSTRACT: This data set provides a time series of land cover classifications for Ariquemes, Ji-Parana, and Luiza, research sites in Rondonia, Brazil. The land cover classifications are derived from the Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) sensors. The time period ranges from June 1975 through June 2000, but all areas do not have images for all the years. The images were classified into the following categories: 1. Primary upland forest, representing the dominant natural vegetation in the area; 2. Pasture and green pasture; 3. Second growth, dominated by small trees and shrubs with low species diversity and biomass relative to primary forest; 4. Soil/urban; 5. Rock/savanna; 6. Water; and 7. Cloud and smoke obscured. In addition, areas covered by rock and savanna were mapped and all areas outside of the overlap zone between all dates within a scene, and scene edges, were masked. There are 75 GeoTIFF files (.tif) with this data set which includes: classified images (*ful.tif) and a corresponding image mask (*ful_mask .tif) for each date (with the exception of 1978 and 1996 images for Ji-Parana, for which there are only ful_mask.tif files), and three mask files for rock, savannah, and scene edges, for each area. By area, there are 31 images for Ariquemes, 23 images for Ji-Parana, and 21 images for Luiza.

daac.ornl.gov

Identified by : ND01_LAND_COVER_MAPS

This dataset was released on January 01, 2014.

The time range for this dataset is June 19, 1975 to June 28, 2000.

The spatial range for this dataset is -12.4311° to -9.1808° latitude, and -64.6406° to -61.1817° longitude. map (center)

DOI : 10.3334/ORNLDAAC/1259
Also known as :
You are viewing /dataset/nasa-ornldaac-1259 in HTML

Alternatives : JSON YAML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG