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Identification and quantification of changes in mangrove forest using Remote Sensing - A case study near Kakinada Bay, Andhra Pradesh, India
Dr Sridhar Vadlapudi
Research Student, Center for Environmental Remote Sensing,
Chiba University, 1-33, Yayoi-Cho, Inage-Ku,
Chiba, 263-8522, Japan
Email: vadlapudi@hotmail.com
Abstract
Remote Sensing from aerial and space platforms has emerged as a powerful tool for monitoring the aquatic environment. Rapid improvements in spatial and spectral resolution of satellite data obtained from Remote Sensing platforms, there is a need for continued research in the field of study. Besides this there are various image analysis and analytical tools like Geographic Information Systems(GIS) and Digital Image Processing (DIP) are available . There is a need to study the integration of Remote sensing with GIS and DIP to evolve techniques for optimum planning of aquatic environment. The study consists of mapping of mangroves and its environs to identify the parameters that have affected the mangroves and the related ecosystem using Remote sensing data. The Indian Remote Sensing satellites temporal data corresponding to topographical sheets 65L/1,L/2,L/5, L/6 and H/14 has been used. The land use pattern is studied by analyzing maps prepared from Remote Sensing data by visual interpretation techniques. Limited ground truth is carried out. Sequential nature of IRS data provides opportunity to monitor changes in the landuse activities in the mangrove . The basic principle of change detection analyze using IRS data over a period of time is applied for such monitoring.
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