Earth Observation for Monitoring Mangrove Ecosystems
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Beschreibung
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.
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.
Provides insight into advancing GIS and remote sensing technology in the field of mangrove ecosystem monitoring Derives biophysical and biochemical parameters using SAR data, hyperspectral data, and integration of data sets Shows the advancement of geospatial technology using multispectral, hyperspectral, and LiDAR data in mangrove monitoring
Autor*in
Sanjeev Kumar Srivastava
Themen in »Earth Observation for Monitoring Mangrove Ecosystems«
Earth observation Mangrove ecosystems Remote sensing GIS Machine learning