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Samanta, Sailesh
- Preparation of Digital Data Sets on Land Use/land Cover, Soil and Digital Elevation Model for Temperature Modelling Using Remote Sensing and GIS Techniques
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PDF Views:149
Authors
Affiliations
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, IN
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, IN
Source
Indian Journal of Science and Technology, Vol 4, No 6 (2011), Pagination: 636-642Abstract
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, ReliefFull Text
References
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Abstract Views :541 |
PDF Views:125
Authors
Affiliations
1 Department of Remote Sensing and GIS, Vidyasagar University, Paschim Medinipur West Bengal, IN
2 Department of Surveying and Land Studies, PNG UNITECH, Papua New Guinea
1 Department of Remote Sensing and GIS, Vidyasagar University, Paschim Medinipur West Bengal, IN
2 Department of Surveying and Land Studies, PNG UNITECH, Papua New Guinea
Source
Indian Journal of Science and Technology, Vol 4, No 10 (2011), Pagination: 1202-1207Abstract
Remote Sensing (RS) and Geographic Information Systems (GIS) are useful tools in hydrological analysis and natural resource management. The application of RS and GIS techniques lends to estimate soil loss based on different parameters. RUSLE (Revised Universal Soil Loss Equation) model is used for soil loss estimation. Different parameters, namely the rainfall and runoff factor (R), soil erodibility factor (K), slope length and steepness factor (LS), crop management factor (C) and conservation practice factor (P), that are the mandatory inputs to RUSLE, have been either derived from remote sensing data or through conventional data collection systems. These parameters are obtained from monthly and annual rainfall data, soil map of the region, Digital Elevation Model (DEM), RS techniques (with use of Normalized Difference Vegetation Index) and land use/land cover map, respectively. This experiential study is carried out on the Kaliaghai river basin under Purbo and Paschim Medinipur district of West Bengal. Soil loss is very high in the river basin area, calculated as 1927779 tons/year using RUSLE model. Thus, the RUSLE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion and sediment yield assessment map in the Kaliaghai river basin.Keywords
Remote Sensing, Geographical Information System, Soil Loss and RUSLE ModelFull Text
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