IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Development of Satellite Data for Infrastructure Updation and Land Use/Land Cover Mapping - A Case Study from Kashipur & Chhatna Block, Bankura & Purulia District, West Bengal


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International Journal for Innovative Research in Science & Technology
Volume 4 Issue - 8
Year of Publication : 2018
Authors : Sujoy Kanti Bhattacharjee

BibTeX:

@article{IJIRSTV4I8016,
     title={Development of Satellite Data for Infrastructure Updation and Land Use/Land Cover Mapping - A Case Study from Kashipur & Chhatna Block, Bankura & Purulia District, West Bengal},
     author={Sujoy Kanti Bhattacharjee},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={8},
     pages={25--31},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I8016.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

Rapid population development and anthropogenic behavior on earth is implementation the usual surroundings extremely. Therefore, an attempt has been made in this paper; a case study has been full up for Kashipur and Chhatna block of Bankura District of West Bengal. This is to appreciate changes in Land use/Land cover and infrastructure improvement predominantly in simple and group of people expansion area. For this purpose the infrastructure, Land use/Land cover, drainage, slope, aspect and contour maps have been prepared using SRTM DEM data of the study area. Besides this an attempt has been made to prepare LU/LC maps from multispectral remote sensing digital data sets of IRS-1C LISS-III & IRS-P6 LISS-IV, applying DIP techniques and Alarm masking technique for MAXLIK & MINPAR supervised classification as well as to organize Infrastructure map applying to raster based vector classification and spatial data extraction method. NDVI method was used for the classification of water and forest classes. It is established that the Infrastructure output map and Land use/Land cover output maps can be used for systematic urban development of the study area.


Keywords:

Alarm Masking; LU/LC Classification; Arc GIS; ERDAS, MS Office


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