Debashis Mitra – författare

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

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

Harnessing Earth Observation for Coastal Engineering addresses the intersection of cutting-edge geoinformatics technologies and coastal engineering to tackle challenges in coastal processes and natural hazards. By offering robust methodologies and algorithms, the book equips students, researchers, and engineers with practical tools for immediate application. The global, real-world case studies provide insights into diverse decision-making tools and global perspectives on geoinformatics in coastal engineering and examples of the methodology in action. It goes on to promote protection and resilience by integrating geoinformatics seamlessly into coastal engineering practices, advancing knowledge and practice in the field.Users will find a great resource that not only addresses the pressing need for leveraging modern remote sensing and GIS technologies but also provides a blend of research insights and practical applications exploring advanced algorithms and techniques, allowing readers to effectively utilize new sensor data, extract vital information, and implement sustainable solutions in coastal zones worldwide.Explores cutting-edge trends and technologies in Geoinformatics for addressing challenges in coastal engineeringIncludes robust methodologies and algorithms that are ready for immediate application, leveraging Earth observation technologies into practical toolsProvides real-world case studies spanning the globe, showcasing diverse decision-making tools in action and global perspectives on geoinformatics in coastal engineering

Harnessing Earth Observation for Coastal Engineering addresses the intersection of cutting-edge geoinformatics technologies and coastal engineering to tackle challenges in coastal processes and natural hazards. By offering robust methodologies and algorithms, the book equips students, researchers, and engineers with practical tools for immediate application. The global, real-world case studies provide insights into diverse decision-making tools and global perspectives on geoinformatics in coastal engineering and examples of the methodology in action. It goes on to promote protection and resilience by integrating geoinformatics seamlessly into coastal engineering practices, advancing knowledge and practice in the field.Users will find a great resource that not only addresses the pressing need for leveraging modern remote sensing and GIS technologies but also provides a blend of research insights and practical applications exploring advanced algorithms and techniques, allowing readers to effectively utilize new sensor data, extract vital information, and implement sustainable solutions in coastal zones worldwide. - Explores cutting-edge trends and technologies in Geoinformatics for addressing challenges in coastal engineering- Includes robust methodologies and algorithms that are ready for immediate application, leveraging Earth observation technologies into practical tools- Provides real-world case studies spanning the globe, showcasing diverse decision-making tools in action and global perspectives on geoinformatics in coastal engineering

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.