ABSTRACT

Human population and activities in the world are generally concentrated near the coast, which has modified the environment for thousands of years. Coastal development leads to modification of foreshore and loss of key habitats such as mangroves, coral, sea grasses etc. Because of this collision of impacts and uses, managing coastal zone can be a high priority for all the coastal nations. Coastal zones are more vulnerable for land use pattern change in the rapid era of urbanization and industrialization. To protect the current natural resources and to know about the causes and consequences of more utilization of water and soil resources a land use land cover (LULC) monitoring and mapping was carried out in the Gulf of Kachchh, the most hastily growing industrial hub of India. Geospatial techniques were used to monitor and evaluate the change in LULC in the Gulf of Kachchh from 1997 to 2016. LISS-III satellite images and digital change detection methods were used. The satellite images were classified using supervised classification method and expert visual interpretation. KAPPA analysis and Error matrix have been done for the accuracy assessment. Change detection among the satellite images for all the nine LULC classes was calculated. The overall classification accuracy of the image is 91.46% with Kappa statistics of 0.89. This study shows that the major LULC change identified in agricultural land followed by mudflats and water bodies, which are significantly decreased, while mangrove, saltpan, built up, industries and mining are increased from 1997 to 2016. Keywords: LISS III image, KAPPA analysis, Supervised classification, Change detection
Publication date: 01/11/2021

https://ijbpas.com/pdf/2021/November/MS_IJBPAS_2021_NOV_SPCL1028.pdf

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https://doi.org/10.31032/IJBPAS/2021/10.11.1028