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Book Cover
E-book
Author Mukhopadhyay, Anirban

Title Sundarbans Mangrove Systems A Geo-Informatics Approach
Published Milton : Taylor & Francis Group, 2021

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Description 1 online resource (363 p.)
Contents Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Introduction -- SECTION 1 Remote Sensing of Mangroves -- Chapter 1 Remote Sensing of Mangroves -- 1.1 Application of Remote Sensing on Mangroves -- 1.1.1 Remote Sensing Application on Forest Mapping -- 1.1.1.1 Feature Delineation -- 1.1.1.2 Vegetation Indices -- 1.1.1.3 Change Detection -- 1.1.2 Remote Sensing Application on Mangrove Mapping -- 1.2 Biomass Estimation of Mangrove Forest -- 1.2.1 Forest Biomass Estimation
1.2.1.1 Forest Biomass Estimation Using Lidar Technique -- 1.2.1.2 Forest Biomass Estimation Using SAR Technique -- 1.2.2 Mangrove Biomass Estimation -- 1.2.2.1 Mapping Mangrove Canopy Structure -- 1.2.2.2 Forest Stand Height -- 1.3 Forest Health and Stress Mapping Using Geoinformatics -- 1.3.1 Forest Health and Stress Indicators -- 1.3.2 Forest Health and Stress Monitoring Using Close-Range RS Approach -- 1.3.3 Forest Health and Stress Monitoring Using Far-Range RS Approach -- 1.3.3.1 LiDAR -- 1.3.3.2 Synthetic Aperture RADAR -- 1.3.3.3 Optical Sensor -- 1.3.3.4 Multi-Sensor Approach
1.3.4 Modeling Approach -- 1.3.4.1 Empirical Models -- 1.3.4.2 Physical Models -- 1.3.4.3 Hybrid Models -- References -- Chapter 2 Does Mid-Resolution Landsat Data Provide Sufficient Accuracy for Image Classification and Mapping at Species Level? A Case of the Bangladesh Sundarbans, Bay of Bengal -- 2.1 Introduction -- 2.2 Method -- 2.2.1 Study Area -- 2.2.2 Image Used -- 2.2.3 Image Pre-Processing -- 2.2.4 Image Analysis -- 2.2.5 Class Accuracy -- 2.3 Results -- 2.4 Discussion and Conclusion -- References
Chapter 3 Effect of Statistical Relative Radiometric Normalization on Spectral Response of Mangrove Vegetation of Indian Sundarbans -- A Comparative Performance Evaluation on Sentinel 2A Multi-Spectral Data -- 3.1 Introduction -- 3.1.1 Study Area -- 3.2.1 Database and Methodology -- 3.2.1.1 Database and Software Used -- 3.2.1.2 Methods -- 3.2 Results and Discussion -- 3.2.1 Comparative Results of Different SRRN Techniques -- 3.2.2 Effect of SRRN on the Spectral Response of the Mangrove Vegetation -- 3.3 Conclusion -- Acknowledgements -- References
Chapter 4 Remote Sensing as a Tool for Mangrove Ecosystem Mapping and Monitoring: On Sundarbans' Perspective -- 4.1 Introduction -- 4.1.1 Background -- 4.1.2 Aim -- 4.1.3 Attributes of Mangrove and Mangrove Ecosystems -- 4.1.4 Role and Utilization Potential of Mangrove -- 4.2 Study Site -- 4.3 Mangrove Characteristics through Remotely Sensed Data -- 4.3.1 Characteristics of Mangroves through Optical Remote Sensing Data -- 4.3.2 Mangrove Moisture Content Properties -- 4.3.3 Characteristics of Mangroves through Radar Remote Sensing Data
Notes Description based upon print version of record
Subject Ecology.
Mangrove ecology-Sundarbans (Bangladesh and India)-Data processing
Geoinformatics-Sundarbans (Bangladesh and India)
Sundarbans (Bangladesh and India)-Environmental conditions
Ecology
Form Electronic book
Author Mitra, Debashis
Hazra, Sugata
ISBN 9781000431483
1000431487