Sundarbans Mangrove Systems: A Geo-Informatics Approach, 1st Edition eBook

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Sundarbans, a UNESCO heritage site, is the world’s 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.

This is a digital product.

Sundarbans Mangrove Systems: A Geo-Informatics Approach 1st Edition and published by CRC Press. The Digital and eTextbook ISBNs for Sundarbans Mangrove Systems are 9781000431483, 1000431487 and the print ISBNs are 9780367538811, 0367538814. Additional ISBNs for this eTextbook include 9780367538835, 9781003083573, 9781032600192, 9781000431469.