Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, 2022
ISBN 10: 0323918808 ISBN 13: 9780323918800
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Zustand: New. Presents theoretical context and practical solutions for understanding the current knowledge and where future efforts should be directed Includes case studies in each chapter demonstrating the use of geospatial technologies Offers.
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Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, 2022
ISBN 10: 0323918808 ISBN 13: 9780323918800
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Water, Land, and Forest Susceptibility and Sustainability | Geospatial Approaches and Modeling | Biswajeet Pradhan (u. a.) | Taschenbuch | Science of Sustainable Systems | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier - Health Sciences Division | EAN 9780323918800 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division Nov 2022, 2022
ISBN 10: 0323918808 ISBN 13: 9780323918800
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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.