Land Use/Land Cover Studies Using Satellite Images – A Case Study

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Land Use/Land Cover Studies Using Satellite Images – A Case Study

Land Use/Land Cover Studies Using Satellite Images – A Case Study

Abstract

Land Use/Land Cover Studies Using Satellite Images – A Case Study civil project report Land use/land cover information is essential for selection, planning and implementation of management strategies to meet the increasing demands for basic human needs and welfare of the ever growing population. The aim of the research was to analyze and monitor land use/land cover in Gudur area, Nellore district ,Andhra Pradesh, of south India by using integrated approach of remote sensing and geographical information system. The total study area is about 247.29 km2. The National Land use/Land cover classification developed by National Remote Sensing Centre (NRSC) and Indian Space Research Organization (ISRO) divides the land in the study area into five Level I classes, 11 Level II classes, and fifteen Level III classes. From this three-level hierarchic based classification. The land use and land cover analysis on the study area has been attempted based on thematic mapping of the area consisting of built-up land, cultivated land, water bodies, forest land, barren land and uncultivated land using the satellite image.

Conclusion

Land Use/Land Cover Studies Using Satellite Images – A Case Study civil project report Remote sensing nowadays has become a modern tool for mapping and analysis of landuse and landcover for micro, meso, and macro level planning. Remote sensing systems have the capability for repetitive coverage, which is required for change detection studies. For ensuring planned development and monitoring the land utilization pattern, preparation of landuse and landcover map is necessary.

The present study demonstrates the usefulness of satellite data for the preparation of accurate and up-to-date land-use/land-cover maps depicting existing land classes for analyzing their change pattern for Onitsha metropolis by utilization of digital image processing techniques. Result of classification clearly shows constant positive increase in urbanization and balanced decline in the urban vegetation