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Displaying 686 - 690 of 1195Using Canonical Correlation Analysis to Identify Environmental Attitude Groups: Considerations for National Forest Planning in the Southwestern U.S
As public land management agencies pursue region-specific resource management plans, with meaningful consideration of public attitudes and values, there is a need to characterize the complex mix of environmental attitudes in a diverse population. The contribution of this investigation is to make use of a unique household, mail/internet survey data set collected in 2007 in the Southwestern United States (Region 3 of the U.S. Forest Service).
half-century analysis of landscape dynamics in southern Québec, Canada
We studied landscape dynamics for three time periods (
pattern of distribution and diversity of avifauna over an urbanizing tropical landscape
An investigation was done to determine the occurrence and composition of avian fauna community in the urbanizing city of Nairobi, Kenya. We conducted bird counts in sample sites randomly distributed over the Nairobi landscape within a two-year period. The proportion of seven different land cover types derived from within a 500� m radius of classified satellite image described the habitat condition of each sample site.
Land-use change in the Caucasus during and after the Nagorno-Karabakh conflict
Socioeconomic shocks can shape future land-use trajectories. Armed conflicts are an extreme form of a socioeconomic shock, but our understanding of how armed conflicts affect land-use change is limited. Our goal was to assess land-use changes related to the 1991–1994 Nagorno-Karabakh conflict between Armenia and Azerbaijan in the Caucasus region. We classified multi-temporal Landsat imagery, mapped land-use changes during and after the conflict, and applied matching statistics to isolate the effect of the conflict from other potential drivers of land change.
Satellite monitoring of land-use and land-cover changes in northern Togo protected areas
Remote-sensing data for protected areas in northern Togo, obtained in three different years (2007, 2000, and 1987), were used to assess and map changes in land cover and land use for this drought prone zone. The normalized difference vegetation index (NDVI) was applied to the images to map changes in vegetation. An unsupervised classification, followed by classes recoding, filtering, identifications, area computing and post-classification process were applied to the composite of the three years of NDVI images.