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Land cover data of Hindu Kush Himalayan region of Pakistan for 2000. This dataset is created using the LandSat 30 meter spatial resolution satellite image of 2000.
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Accelerated soil erosion is a common and environmentally destructive consequence of development in the populated trans-boundary Koshi river basin. The objective of this study was to assess assessment of soil erosion pattern and dynamic change trend of spatial distribution in erosion status between 1990 and 2010 and obtained the conservation priority map in the Koshi basin area using GIS and remote sensing. To develop soil erosion pattern revised universal soil loss equation (RUSLE) were adopted in ArcGIS environment where is the rainfall erosivity, soil erodibility, slope length factor, crop management factor and support practice factors were used a primary parameters. This study result the annual total erosion 4,35,996 ton/ha/yr in 2010.
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High levels of water-induced erosion in the transboundary Himalayan river basins are contributing to substantial changes in basin hydrology and inundation. Basin-wide information on erosion dynamics is needed for conservation planning, but field-based studies are limited. Part of the remote sensing (RS) and a geographic information system (GIS) based soil erosion estimation and spatial distribution of across the entire Koshi basin, a land cover data of 2000 used as a Support practice factor (PL). Land cover data for 2000 were prepared from analysis of the Landsat images using object-based image analysis.
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Digital dataset of Musk Deer habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.
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The dataset present the crop sown area for wheat crop during 2010 - 2015.
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Digital dataset of Land Cover change between 2000 and 2010 of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is derived from the LandSat satellite imagery of 2000 and 2010 to show the change in land cover classes.
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Exposure layer gives information about the climate change exposure of forest ecosystems in Chitwan Annapurna Landscape.
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Land cover data of Greater Chittagong, Bangladesh for 2010. This dataset is created using the LandSat 30 meter spatial resolution satellite image of 2000.
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Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures. Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
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Digital dataset of Himalayan Wolf habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.
Metadata Catalogue