Indian Journal of Science and Technology
Year: 2011, Volume: 4, Issue: 6, Pages: 636-642
Sailesh Samanta1 , Dilip Kumar Pal1 , Debasish Lohar2 and Babita Pal1*
1 Department of Surveying and Land Studies, The PNG University of Technology, Morobe Province, Lae, 411, Papua New Guinea;
2 Department of Physics, Atmospheric Science Research Group, Jadavpur University, West Bengal, India
[email protected]; [email protected]; [email protected]; [email protected]
Remote Sensing (RS) and Geographic Information Systems (GIS) are becoming powerful tools in climatological modelling. This study proposes an empirical methodology to prepare digital data set of land use/land cover, soil and digital elevation model (DEM) using RS and GIS techniques. The study area is Gangetic West Bengal and its neighborhood in the eastern India, where a number of weather systems occur throughout the year. Gangetic West Bengal is a region of strong heterogeneous surface with several weather disturbances. Standard false color composite (Std FCC) bands (green, red and near Infrared bands) of LANDSAT-7, ETM+ sensor are used to produce land use/land cover dataset. DEM is built using the contours and spot heights which are collected from Topographical maps of the region. With the help of soil region map of West Bengal and soil region map of India the soil texture dataset is built. All the data sets are converted to the spatial resolution of 1km and 5km, which can be used as the independent variables for climatological modelling (specifically air temperature modelling) of the study area.
Keywords: Remote Sensing, Geographical Information System, Land use/land cover, Soil, Relief
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