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Water, Land, and Forest Susceptibility and Sustainability : Geospatial Approaches and Modeling (Science of Sustainable Systems)

By: Systems and Modelling; Faculty School of Information University of Technology Sydney Biswajeet (Edited by) , Mohammad Zakwan (Edited by) , Sourav Saha (Edited by) , MALDI mass spectrometry Analytical Chemistry India and Nanochemistry Gujrat Suresh Kumar Surat (Edited by) , India) Chatterjee Dantan Ph.D. Uday (Edited by)

2 in stock

Ksh 27,300.00

Format: Paperback or Softback

ISBN-10: 0323918808

ISBN-13: 9780323918800

Collection / Series: Science of Sustainable Systems

Collection Type: Publisher collection

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Nov 29th, 2022

Publication Status: Active

Product extent: 576 Pages

Weight: 1202.00 grams

Dimensions (height x width x thickness): 19.20 x 23.50 x 3.30 cms

Product Classification / Subject(s): Geographical information systems (GIS) & remote sensing
The environment
Climate change
Environmental monitoring

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Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management. This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.

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