title: Detection and analysis of forest cover changes of Indian Sundarbans using satellite data.
abstract: This study shows the forest cover estimation of Sundarban delta with the help of remote sensing together with Geographical Information System (GIS) and K-means clustering technique. GIS mainly deals with gathering repetitive coverage by satellites and aircrafts of real time forestry information that, finally enables to compile gross forest vegetation resource data of the area under investigation in a single format and monitor the changes. The main study area is the salinity prone south-western part of Sundarbans among Lothian, South-Surendranagar and Dhanchi Islands. Conservation of forestry and the mangroves of these Islands have been studied by the periodic remote-sensed data analysis. This paper also highlights the problems associated with the forest conservation and provides suggestions and schemes for protection and conservation of mangrove forest in Sundarban region.
authors.affiliation: Department of Computer and System Sciences, Siksha-Bhavan, Visva-Bharati, Santiniketan-731-235, India. roy.utpal@gmail.com
authors.forename: Utpal
authors.initials: U
authors.lastname: Roy
authors.forename: Achintya K
authors.initials: AK
authors.lastname: Mandal
authors.forename: Somnath
authors.initials: S
authors.lastname: Mukherjee
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D003247:Conservation of Natural Resources / Q000379:methods*; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods; D016468:Forestry; D040362:Geographic Information Systems; D007194:India; D062312:Islands; D017215:Satellite Communications; D012815:Signal Processing, Computer-Assisted; D014197:Trees