Sanjeev Kumar Srivastava – författare

This book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, macroinvertebrates, and chlorophyll estimation for aquatic ecosystem health assessment. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water quality, shoreline changes, coral bleaching, and vegetation monitoring. The book covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and the brackish lake. It also:Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystemsIncludes traditional methods like cartography, sampling, surveying, phytoplankton assessment, river interlinking, and chlorophyll estimationDiscusses the application of multi-source data and machine learning in monitoring aquatic ecosystemsDiscusses aquatic ecosystem management, services, threats, and sustainabilityExplores challenges, opportunities, and prospects of future Earth observation applications for aquatic ecosystem monitoringThe book discusses space-borne, airborne, and drone geospatial data. The parts broadly cover aquatic ecosystem monitoring, vegetation management, advanced modeling practices, and challenges. It is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.

This book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, macroinvertebrates, and chlorophyll estimation for aquatic ecosystem health assessment. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water quality, shoreline changes, coral bleaching, and vegetation monitoring. The book covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and the brackish lake. It also:

Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography, sampling, surveying, phytoplankton assessment, river interlinking, and chlorophyll estimation Discusses the application of multi-source data and machine learning in monitoring aquatic ecosystems Discusses aquatic ecosystem management, services, threats, and sustainability Explores challenges, opportunities, and prospects of future Earth observation applications for aquatic ecosystem monitoring

The book discusses space-borne, airborne, and drone geospatial data. The parts broadly cover aquatic ecosystem monitoring, vegetation management, advanced modeling practices, and challenges. It is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.

This book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, macroinvertebrates, and chlorophyll estimation for aquatic ecosystem health assessment. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water quality, shoreline changes, coral bleaching, and vegetation monitoring. The book covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and the brackish lake. It also:

Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography, sampling, surveying, phytoplankton assessment, river interlinking, and chlorophyll estimation Discusses the application of multi-source data and machine learning in monitoring aquatic ecosystems Discusses aquatic ecosystem management, services, threats, and sustainability Explores challenges, opportunities, and prospects of future Earth observation applications for aquatic ecosystem monitoring

The book discusses space-borne, airborne, and drone geospatial data. The parts broadly cover aquatic ecosystem monitoring, vegetation management, advanced modeling practices, and challenges. It is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.

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.