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Remote Sensing, GIS and Modelling for Water Resource Management: Volume 2

Contributor(s): Sunitha, Vangala (Editor), Muralidhara Reddy, Bandi (Editor), Sudharshan Reddy, Yenugu (Editor), Prasad, Mannala (Editor), Pradeep Kumar, Badapalli (Editor), Balaji, Etikala (Editor)

ISBN: 9783031994968

Publisher: Springer

Hardcover
$219.99
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Pub Date: November 1, 2025

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.69" H x 9.21" L x 6.14" W ( 2.88 lbs) 788 pages

Series: Springer Water

Descriptions, Reviews, etc.

Description:

This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place.

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