Sundarbans Mangrove Systems

The book highlights the major issues with Sundarban mangrove forest (largest delta system in world), its future conservation strategies and their ecological importance using geo-informatics technology. It provides assessment in terms of extent, density of community, condition, diversity, identifying potential habitats and heterogeneity.

Sundarbans, a UNESCO heritage site, is the worlds largest single chunk of mangroves distributed on the Indian and Bangladesh coasts. The mangroves and associated ecosystems are one of the most fertile ecosystems of the earth. Sundarbans Mangrove Systems: A Geo-Informatics Approach portrays different perspectives of studying Sundarbans and mangroves using geospatial analysis. This book highlights the major issues with the Sundarbans mangrove forest, its future conservation strategies and its ecological importance using geo-informatics technology. It explains the usage of remote sensing data for providing information about the present state of mangroves and their tropic status, including assessment in terms of extent, density of community, condition, diversity, identifying potential habitats and heterogeneity. Furthermore, it discusses the use of hyperspectral remote sensing data for species level classification of mangroves, community zonation for biodiversity assessment and for preparing management plans for conservation.

KEY FEATURES

Exclusively covers the ecological state of Sundarbans (mangrove systems) through geo-informatic studies

Describes the application of a combination of geomorphological, biogeochemical and remote sensing methods to the analysis of temporal changes

Includes environmental factors affecting the health and decline of mangroves

Covers biodiversity and ecological controls in mangroves ecosystems

Discusses a remote sensing approach for tropical forested island and mangroves mapping

This book is aimed at graduate students and researchers in environmental sciences, ecology, marine sciences, biology, geosciences and GIS/remote sensing areas.

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