Landuse Change Detection through Image Processing and Remote Sensing Approach: A Case Study of Palladam Taluk, Tamil Nadu
نویسندگان
چکیده
This study examines the use of image processing and remote sensing in landuse changes mapping for Palladam Taluk between 1972(Topographic sheets) and 2011(satellite images). The layers of landuse map (1972) were digitized by heads-up digitization method in Quantum GIS (QGIS) software environment. Similarly the layers of landuse map (2011) were developed by supervised classification of satellite imagery. The training site was created by referring ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) satellite imagery with help of GPS (Global Positioning system) coordinates in QGIS environment. Supervised classification technique was adopted to classify the satellite image in SAGA GIS (System for Automated Geo-scientific Analyses) software environment. The classified image was converted into vector format and estimated the total area of each class by using geometry tools of QGIS software. The landuse changes between 1972 and 2011 compared and displayed in geographical or map format in 1:50000 scale.
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