publication . Article . 2008

SRTM-DEM AND LANDSAT ETM+ DATA FOR MAPPING TROPICAL DRY FOREST COVER AND BIODIVERSITY ASSESSMENT IN NICARAGUA

Brett G. Dickson; Carol L. Chambers; Sarah M. Otterstrom; Suzanne E. Hagell; Steven E. Sesnie;
Open Access English
  • Published: 01 Aug 2008 Journal: Revista Geográfica Acadêmica (issn: 1678-7226, Copyright policy)
  • Publisher: Universidade Federal de Goiás
Abstract
Tropical dry and deciduous forest comprises as much as 42% of the world’s tropical forests, but hasreceived far less attention than forest in wet tropical areas. Land use change threatens to greatly reducethe extent of dry forest that is known to contain high levels of plant and animal diversity. Forest fragmentationmay further endanger arboreal mammals that play principal role in the dispersal of large seeded fruits, plantcommunity assembly and diversity in these systems. Data on the spatial arrangement and extent of dryforest and other land cover types is greatly needed to enhance studies of forest fragmentation effects onanimal populations. To address this is...
Subjects
free text keywords: STRM-DEM, Landsat ETM+, Random Forest classifier, tropical dry forest, land cover, Geography. Anthropology. Recreation, G, Geography (General), G1-922
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