Description
Sundarbans, a UNESCO heritage site, is the world窶冱 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.
Table of Contents
Section1 Remote Sensing of Mangroves.
1: Remote Sensing of Mangroves.
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
3: Effect of Statistical Relative Radiometric Normalization on Spectral Response of Mangrove Vegetation of Indian Sundarban 窶� A Comparative Performance Evaluation on Sentinel 2A Multi-Spectral Data
4: Remote Sensing as a tool for Mangrove ecosystem mapping and monitoring: On Sundarbans窶� perspective
Section 2 Ecology of Sundarbans a geo-informatics approach
5: Plant Diversity Assessment in Indian Sunderban Mangroves: A Geoinformatics Approach
6: Spatio-temporal distribution of microforams in the Sundarban mangrove forest, Bangladesh: Response to ecological imbalance
7: Change analysis of biophysical parameters of mangrove forests over Indian Sundarbans using geospatial techniques: A special emphasis on Leaf Area Index and Percentage Canopy Cover
Section 3 Ecosystem services analysis using GIS
8: Economic valuation of ecosystem services of Sundarbans Natural Reserve Region, India
9: An appraisal of tourism industry as alternative livelihood in Indian Sundarban
10: An analysis of Small-scale Fisheries Management status by focusing on degrading Fisheries Resources in the Sundarbans
Section 4 Vulnerability of Sundarbans through geospatial analysis
11: Biophysical vulnerability assessment of Indian Sundarban Mangrove
12: Monitoring the effects of the tropical cyclone 窶連mphan窶� on the Indian Sundarbans using Microwave remote sensing.
13: Satellite Remote Sensing to evaluate the Social Consequences of Bio-physical Damage: A Case Study of Cyclone Amphan in Sundarbans Adjoining Areas in Bangladesh
14: Vulnerability to saltwater intrusion along coastal Bangladesh using GIS and hydrogeological data
15: Salinity dynamics in the Hooghly-Matla estuarine system and its impact on the mangrove plants of Indian Sundarban
