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Utilization of Resourcesat LISS IV Data for Infrastructure Updation and Land Use/Land Cover Mapping - A Case Study from Simlipal Block, Bankura District, W. Bengal


 
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1. Title Title of document Utilization of Resourcesat LISS IV Data for Infrastructure Updation and Land Use/Land Cover Mapping - A Case Study from Simlipal Block, Bankura District, W. Bengal
 
2. Creator Author's name, affiliation, country V. S. S. Kiran; IIC Academy, IIC Technologies Ltd., Visakhapatnam, Andhra Pradesh; India
 
2. Creator Author's name, affiliation, country Y. K. Srivastava; Scientist-SE, ISRO, RRSC- East, Kolkata, West Bengal; India
 
2. Creator Author's name, affiliation, country M. Jagannadha Rao; Delta Studies Institute, Andhra University, Visakhapatnam, Andhra Pradesh; India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Alarm Masking; LU/LC Classification; Arc GIS; ERDAS
 
4. Description Abstract

Rapid population growth and anthropogenic activities on earth is effecting the natural environment profoundly. Hence, an attempt has been made in this paper; a case study has been taken up for Simlipal block of Bankura District of W. Bengal. This is to understand changes in Land use/Land cover and infrastructure development particularly in plain and community development area. For this purpose the infrastructure, Land use/Land cover, drainage, slope, aspect and contour maps have been prepared using SRTM (54/08) 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 prepare 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.


 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2014-05-26
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-273
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 3 (Year 2014)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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