Abstract
AbstractUnprecedented growth and rapid urbanization resulted in remarkable changes in the land use and land cover patterns which altered the global environmental scenario and also affected ecosystem services. Continuous monitoring of land use and land cover changes is extremely important to systematically plan various infrastructure projects and their land requirements to meet demands from various sectors, especially in an urban context. Timely and reliable information on the spatial and temporal behavior of land use land cover patterns is, therefore, a prerequisite and realizing the potential of geospatial technologies in providing such information, a study has been taken up in the Hussain Sagar catchment area, a part of Hyderabad City. The present study includes land use land cover (LULC) classification of various satellite images taken at different periods for comparison and checking for their accuracy assessment. The results indicated a spectacular increase in settlements/built-up land to the tune of 50.34 km2 accounting for 48.38% of the proposed study area. Contrastingly, a significant shrinkage in the areal extent of vegetation, barren land, and water bodies has been noticed over the past one and half decades. It is noted from various sources and findings that the Kappa value greater than 0.75, is rated to be considerable. The results obtained from the present study indicated an overall classification accuracy of 87.33% with kappa value (K) = 0.84 which are found to be satisfactory and therefore the classified images can be used for further analysis.KeywordsLULC classificationChange detectionKappa statistics
Published Version
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