- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Earth Science
- > geography
Full Description
This book provides insight into advancing GIS and remote sensing technology in the field of mangrove ecosystem monitoring, offering traditional as well as advanced techniques for mangrove types, biophysical and biochemical parameters, retrieval, species identification, mapping classification, machine learning, physics-based approaches, challenges, and the way forward. This will incorporate the latest technology to derive biophysical and biochemical parameters using SAR data, hyperspectral data, and integration of data sets for the enhanced accuracy of the results and outcome. It also presents the advancement of geospatial technology using multispectral, hyperspectral, radar microwave, and LiDAR data in mangrove monitoring. The book will benefit academics and the research community with the latest research ideas, problem-solving skills, and future perspectives in forestry monitoring to aid mangrove-related developments globally. It is intended for marine ecologists, climate change scientists, universities, governments, industries, developers of sensors and other sophisticated tools for mangrove monitoring, and policymakers.
Contents
1 Introduction to Remote Sensing and GIS in Mangrove Monitoring and Management.- 2 Different Roles of Mangrove Ecosystems and Their Significance.- 3 Ground-Based Techniques in Mangrove Monitoring and Management.- 4 Protecting Mangrove Ecosystems Through Proper Nursery Management in Karangsong and Pabean Ilir of Indramayu Regency: A Comparative Study with Indian Sundarbans with Remote Sensing Approaches.- 5 Remote Sensing-Based Assessment of Mangrove Ecosystem with Special Reference to the Sundarbans of India.- 6 Use of Archived Data and Geospatial Methods for Characterising Sundarbans.- 7 Cyclone Attacks and Their Impact in Eastern India with Special Reference to Sundarbans.- 8 Hyperspectral Remote Sensing in Mangrove Mapping.- 9 A Comparative Assessment of Global Land Cover Products and Mangrove Specific Datasets with High Spatial Resolution Imagery, with Emphasis on Mangrove Mapping.- 10 Multitemporal Data Usage for Aboveground Biomass Estimation in Bhitarkanika Mangrove Forests, Eastern India.- 11 Remote Sensing and Cloud-Based Web Application for Mangrove Visualisation: A Google Earth Engine Approach for Monitoring the Sundarbans.- 12 Leaf Chlorophyll Concentration and Plant Diversity Assessment in a Mangrove Forest of Eastern India.- 13 Study of Carbon Dynamics in the Indian Mangroves Using Carbon Isotopes: A Comprehensive Review.- 14 Quantitative Assessment and Prediction of Changes in Mangrove Cover of Sundarbans Through Markov Chain Analysis.- 15 Remote Sensing Platforms and Sensors for Mangrove Monitoring.- 16 Way Forward and Challenges in Mangrove Monitoring Using Earth Observation.
