1Centre for Land Resource Management, Central University of Jharkhand, Brambe, 835205, India. avinashcuj.wings07@gmail.com
2Department of Electronics and Communication Engineering, Birsa Institute of Technology, Dhanbad, 828123, India
3Department of Environmental Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, India
4Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, 500090, India
5School of informatics and computing, Indiana University, Indiana, 47408, USA
The Sundarban mangrove ecosystem is one of the world's largest mangrove forest extended over Bangladesh (62%) and India (38%) on the deltaic complex of rivers Ganga, Brahmaputra, and Meghna. The Indian Sundarban Delta (ISD) covers 102 small islands spread over 9630 km2, out of which 54 islands in 5370 km2 are having a population of 4.2 million (census 2011) and rest 48 islands spread across 4260 km2 are covered by Reserved Forest (RF) with mangrove vegetation. There are incessant changes over the years in Sundarban Delta due to natural and anthropological influences. In the present investigation, an attempt has been made to detect and analyze the changes in mangroves and LU/LC environment of ISD since last 15 years. High-resolution Remote Sensing (RS) satellite data from 1990 to 2016 of equal intervals of ten years has been processed and analyzed with Geospatial Information System (GIS) environment. Comparatively change detection in LU/LC of ISD has been prudently studied over the years 1990, 2000, 2010 and 2016 by using two image processing techniques: Normalized Difference Vegetation Index (NDVI) which is used in detecting the temporal changes in vegetation and Maximum Likelihood Classification (Supervised Classification) technique is used for Land Use/Land Cover (LU/LC) analysis.
Indian Sundarban Delta, Mangroves, Satellite Data, Remote Sensing & GIS, NDVI, Maximum Likelihood Classification
