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Displaying 446 - 450 of 661Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping
The aim of this study is to extract landslide-related factors from remote-sensing data, such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery, and to examine their applicability to landslide susceptibility near Boun, Korea, using a geographic information system (GIS). Landslide was mapped from interpretation of aerial photographs and field surveying. Factors that influence landslide occurrence were extracted from ASTER imagery.
global land-cover validation data set, part I: fundamental design principles
A number of land-cover products, both global and regional, have been produced and more are forthcoming. Assessing their accuracy would be greatly facilitated by a global validation database of reference sites that allows for comparative assessments of uncertainty for multiple land-cover data sets. We propose a stratified random sampling design for collecting reference data.
Degradation of soils as a result of long-term human-induced transformation of the environment in Iran: an overview
Human-induced soil degradation is a serious and complex environmental challenge in Iran. For a long time, human activities, namely the overuse of land, have been influencing the natural processes on and in soils; therefore, various types of soil degradation can be observed in many parts of the country. The understanding and the consideration of direct and indirect effects of human activities on soils are indispensable for the prediction of the human impact on soil degradation processes.
Urban sprawl impact assessment on the agricultural land in Egypt using remote sensing and GIS: a case study, Qalubiya Governorate
Urban sprawl is one of the main problems that threaten the limited highly fertile land in the Nile Delta of Egypt. In this research, satellite images of Landsat Thematic Mapper (TM) 1992, Landsat Enhanced Thematic Mapper (ETM+) 2001 and Egypt Sat-1 2009 have been used to study the urban sprawl and its impact on agricultural land in Qalubiya Governorate. Maximum likelihood supervised classification and post-classification change detection techniques were applied for monitoring the urban sprawl in this study area.
Estimating urban vegetation cover fraction using Google Earth® images
We exploited publicly available satellite- and aircraft-based imagery to estimate urban vegetation cover fraction and land use by class for a semiarid urban area that includes Phoenix, AZ, USA, using low-cost and technologically modest tools. This technique is also used to evaluate two satellite-derived tree cover datasets as well as to compare estimates from the present study with land cover data generated from another study performed using the same study domain.