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Geospatial Technology for Water Resource Applications

Editat de Prashant K. Srivastava, Prem Chandra Pandey, Pavan Kumar, Akhilesh Singh Raghubanshi, Dawei Han
en Limba Engleză Paperback – 31 mar 2021
This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. It presents recent developments and applications specifically by utilizing new earth observation datasets such as TRMM/GPM, AMSR E/2, SMOS, SMAP and GCOM in combination with GIS, artificial intelligence, and hybrid techniques. By linking geospatial techniques with new satellite missions for earth and environmental science, the book promotes the synergistic and multidisciplinary activities of scientists and users working in the field of hydrological sciences.
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Specificații

ISBN-13: 9780367782863
ISBN-10: 0367782863
Pagini: 328
Dimensiuni: 156 x 234 mm
Greutate: 0.57 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Cuprins

General. Traditional Techniques. Modern Techniques (New Earth Observation Missions). Artificial Intelligence and Hybrid Techniques. Future Technologies for Water Resources Development.

Notă biografică

Prashant K. Srivastava, PhD, research scientist, ESSIC/NASA Goddard Space Flight Center, Greenbelt, Maryland, USA




Dawei Han, PhD, professor of hydroinformatics, Department of Civil Engineering, University of Bristol, UK




Akhilesh Singh Raghubanshi, PhD, director, Institute of Environment & Sustainable Development, Banaras Hindu University (BHU), Varanasi, India




Pavan Kumar, MSc, is affiliated with Bansthali University, Tonk, Rajasthan, India




Prem Chandra Pandey, MSc, is affiliated with the University of Leicester, UK

Descriere

This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. It presents recent developments and applications specifically by utilizing new earth observation datasets such as TRMM/GPM, AMSR E/2, SMOS, SMAP and GCOM in combination with GIS, artificial intelligence,