A methodology is developed to relate urban growth studies to distributed hydrological modeling using an integrated approach of remote sensing and GIS. This linkage is possible because both studies share land-use and land-cover data. Landsat Thematic Mapper data are utilized to detect urban land-cover changes. GIS analyses are then conducted to examine the changing spatial patterns of urban growth. The integration of remote sensing and GIS is applied to automate the estimation of surface runoff based on the Soil Conservation Service model.

Declines in habitat and wildlife in semiarid African savannas arefrequently attributed to factors such as agropastoral population growth, livestock impacts, and subsistence cultivation.

In this paper we present an application of aerial remote sensing to the analysis of spatial information in a mountainous area of central Italy by applying texture measures and landscape indices. Land cover data acquired in different time periods are used to calculate measures of landscape pattern and structure at pixel level (tone and texture variables) and patch‐level (landscape indices). Images of the patches from the 1950s, 1980s and 1990s have been derived from the tone‐texture classification of scanned black‐and‐white photographs.

The relationship between vegetation and environment was investigated for calcareous grasslands in a region in the west of Spain, France, Britain and Ireland defined by climatic criteria. Vegetation was sampled using objective methods and data collected on soils, land cover, location and management. Climate data were obtained from an available database. Examination of the first axis of vegetation variation as defined by Detrended Correspondence Analysis (DCA) showed a gradient from the Irish and British samples to those from France.

With continuing proliferation of human influences on landscapes, there is mounting incentive to undertake quantification of relationships between spatial patterns of human populations and vegetation. In considering such quantification, it is apparent that investigations must be conducted at different scales and in a comparative manner across regions. At the broader scales it becomes necessary to utilize remote sensing of vegetation for comparative studies against map referenced census data. This paper explores such an approach for the urbanized area in the Tokyo vicinity.

For millenia, Greater Amboseli ecosystem of Kenya has had a central role in subsistence
pastoralism and wildlife conservation by providing vast biological resources for pastoralists and
their livestock; and habitat for wildlife. Recently, with the creation of Amboseli National Park
and rapid changes in land tenure systems, the human use of the ecosystem has intensified. This
change has shaped a pastoral landscape composed of livestock grazing, wildlife conservation,

Biome: Temperate Broadleaf and Mixed Forests...
Size: 4,100 square miles...
Conservation Status: Relatively Stable/Intact...

Biome: Tropical and Subtropical Moist Broadleaf Forests...
Size: 168,700 square miles...
Conservation Status: Vulnerable...

Biome: Mangroves...
Size: 8,200 square miles...
Conservation Status: Critical/Endangered...
G200: No..

Biome: Montane Grasslands and Shrublands...
Size: 46,800 square miles...
Conservation Status: Relatively Stable/Intact.....

Biome: Tropical and Subtropical Moist Broadleaf Forests...
Size: 37,600 square miles...
Conservation Status: Relatively Stable/Intact.....

Biome: Tropical and Subtropical Moist Broadleaf Forests...
Size: 46,100 square miles...
Conservation Status: Relatively Stable/Intact.....