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- W2322273726 abstract "The land1use and land1cover pattern of a region is an outcome of natural and socio1economic factors and their utilization by man in time and space. Land1use and land1cover change has become a central component in current strategies in managing natural resources and monitoring environmental changes. Urban expansion has increased the exploitation of natural resources and has changed land use and land cover patterns. Rapid urbanization, therefore, brings opportunities for new urban developments, however, it also has brought serious losses of arable land, forest land and water bodies. Land cover change is a major concern of global environment change. The modelling and projecting of land cover change is essential to the assessment of consequent environmental impacts. In Nepal, speedy urbanization took place in the last two decades due to population growth. This growth has significantly changed the landscape of many cities. In the context of urbanization, a large amount of agricultural land has been converted to built1up or urban land uses. Kathmandu,the capital city of Nepal , has been experiencing a lot of land1use and land1cov er changes due to both socioeconomic and natural factors. Remote sensing and Geographical Information system (GIS) provide fundamental tools which can be useful in the investigation at the village district as well as the city levels. Remote sensing becomes useful because it provides synoptic view and multi1 temporal Land uses / Land cover data that are often required. All landsat images of Kathmandu city including Kathmandu Metropolitan and Lalitpur Sub1Metropolitan city (1976 MSS, 1989 TM, 2001 ETM+ and 2009 ETM+), are rectified and registered in Universal Transverse Mercator (UTM) zone 45 N and Supervised image classification system has been observed to classify the images in different land use categories. Five land use classes have been identified: Urban (Built1up), Water body, Forest area, Open field and cultivated land. GIS is the technology which has been used to view and analyze data from a geographic perspective. In study, Markov chain model has been applied to predict future changes which are based on the rates of past change using IDRISI GIS. The land1use information for the year 2017 is predicated in Kathmandu City. The past, current and possible future land1use dynamics of the study area has been described and analyzed." @default.
- W2322273726 created "2016-06-24" @default.
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- W2322273726 date "2011-01-01" @default.
- W2322273726 modified "2023-09-27" @default.
- W2322273726 title "APPLICATION OF REMOTE SENSING AND GIS, LAND USE/LAND COVER CHANGE IN KATHMANDU METROPOLITAN CITY, NEPAL." @default.
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