Prem Chandra Pandey; Prashant K. Srivastava; Heiko Balzter; Bimal Bhattacharya; George P. Petropoulos Elsevier Health Sciences (2020) Pehmeäkantinen kirja
Daniela Fernanda Da Silva Fuzzo; Dimitris Triantakonstantis; João Alberto Fischer Filho; Prashant K. Srivastava; Sal Lamine Elsevier - Health Sciences Division (2024) Pehmeäkantinen kirja
Prem C. Pandey; Rajesh Kumar; Manish Pandey; Gregory Giuliani; R. K. Sharma; Prashant K. Srivastava Springer International Publishing AG (2024) Kovakantinen kirja
Taylor & Francis Ltd Sivumäärä: 326 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2024, 29.11.2024 (lisätietoa) Kieli: Englanti
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.