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Geospatial Analytics for Environmental Pollution Modeling

Language EnglishEnglish
Book Paperback
Book Geospatial Analytics for Environmental Pollution Modeling Mili Ghosh Nee Lala
Libristo code: 46990081
Publishers Springer Nature Switzerland, December 2024
This book aims to provide a comprehensive study on various aspects of environmental pollution dynami... Full description
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This book aims to provide a comprehensive study on various aspects of environmental pollution dynamics using geospatial technology and modeling techniques. The utility of geospatial technology will be demonstrated for the effective study of environmental pollution, as space and location are very important for effective environmental health surveillance. The timeliness of the work is due to the increasing relevance of geospatial technology applications in environmental health investigations. Moreover, different types of pollution are covered in detail, including air and soil, all of which are analyzed using latest Remote Sensing and GIS technology. The basics of environmental pollution and its impacts are covered in the book's first part, while the second part focuses on the use of geospatial technology in investigating and modeling various instances of environmental pollution. The third part discusses policy measures for mitigating environmental pollution hazards, usinggeospatial analyses and data to craft informed policy decisions. The primary audience for the book is researchers working in the field of environmental pollution with incorporation of geospatial technology, including upper-level undergraduate and graduate students taking courses in remote sensing and its environmental applications. The secondary audience is academicians, planners, environmentalists and policymakers working in the field of environment protection and management.

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About the book

Full name Geospatial Analytics for Environmental Pollution Modeling
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 456
EAN 9783031453021
ISBN 3031453026
Libristo code 46990081
Weight 686
Dimensions 155 x 235 x 25
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