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Article Published In Vol.2 (Jan-Feb-2014)

Investigations on Change Detection in Chandpur (M.S.) Watershed area by using RS and GIS

Pages : 118-125

Author : M.L.Waikar and Ajay Chavadekar

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Investigations on spatial and temporal land use/land cover (LULC) changes at regional scales is essential for a wide range of applications such as landslide, erosion, land planning, global warming, Hydrologic phenomenon and their effects on ecological processes, runoff, soil erosion and sedimentation and soil conditions etc.. The LULC alterations (based especially on human activities), are observed to negatively affect the patterns of climate, the patterns of natural hazard and socio-economic dynamics in global and local scale. In the present study an attempt has been made to investigate LULC changes by using of Remote Sensing(RS) and Geographic Information Systems (GIS) support in respect of Chandpur reservoir. For this purpose, firstly a hybrid classification technique is applied to satellite images acquired for the years 2004, 2007 and 2012 and the image Classification of six reflective bands of four IRS-P6 images is carried out by using maximum likelihood method and with ground truth data obtained from GPS points in fields of year 2012. The second part focused on land use land cover changes by using change detection comparison (pixel by pixel). In third part of the study, the land cover changes are analyzed by vegetation sensitivity analysis NDVI classification and the GIS functions. The results indicate that severe and drastic land cover changes have occurred from the year 2004 to 2012. Degraded forest increased from 7.96% in 2004 to 12.71% in 2012 which is nearly 5% change and the Crop land area increased nearly by 2%. The evergreen forest accounted for 23.02% earlier in 2004 is found to be 15.98% later in the year 2012 thereby indicating nearly 6% change. These changes may cause negative impacts on watershed catchment especially on runoff and sediments which must be analysed to arrest its further degradation.

Key words: LULC, NDVI, RS GIS





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