Advances in Geospatial Technologies for Natural Resource Management
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Advances in Geospatial Technologies for Natural Resource Management

Advances in Geospatial Technologies for Natural Resource Management


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About the Book

Timely and reliable information on natural resources, regarding their potential and limitations, is a prerequisite for sustainable development. Geospatial technologies offer immense potential in providing such information in a timely and cost-effective manner. Using orbital sensors data in conjunction with airborne and proximal sensors data to generate information on soils and agricultural resources, forests, mineral resources, fossil fuel, wetlands, water resources, and marine resources, this book focuses on the advancements in technologies applicable to managing these resources. It addresses global issues like climate change and land degradation neutrality and introduces spatial data infrastructure (SDI) as a mechanism for sharing geospatial data. This book also provides an in-depth discussion on drones, crowdsourcing, cloud computing, Internet of Things, machine learning, and their applications. FEATURES Contains a comprehensive resource on the latest developments in geospatial technologies and their use in monitoring natural resources, productivity mapping, and modeling Explains the geo-computation methods and online algorithm developments Includes clear guidance on how best to use geospatial data for various applications Discusses case studies from a variety of fields and current trends in the management of natural resources Provides future scenarios concerning platforms, sensors, data analysis, and interpretation techniques This book is written for remote sensing and GIS professionals in environmental institutions and government who are involved in natural resource management projects. Senior undergraduate and graduate-level students in Earth sciences, geography, or environmental management can also use this text for supplementary reading.

Table of Contents:
1. Remote Sensing. 2. Photogrammetry. 3. Geographic Information Systems. 4. Internet Technologies. 5. Natural Resources Management. 6. Minerals and Fossil Fuels. 7. Soil Resources. 8. Agricultural Resources. 9. Forest Resources. 10. Land Degradation Neutrality. 11. Wetlands. 12. Surface Water Resources. 13. Marine Resources. 14. Cryosphere. 15. Global Climate Change. 16. Spatial Data Infrastructure.

About the Author :
Ravi Shankar Dwivedi, PhD, has over three decades of experience in applications of geospatial technologies in agriculture at the National Remote Sensing Centre, Indian Space Research Organization, Government of India, Hyderabad. He subsequently joined Jawaharlal Nehru Technological University, Hyderabad, India, where he has been an Academic Advisor/Guest Faculty since 2012. He is an expert in land resources management, including soil resources inventory, mapping and monitoring land degradation/desertification, wastelands, and land use/land cover using a variety of remote sensing data. He has experience in the generation of action/developmental plans for watershed management and its impact assessment using a variety of sensor data and GIS. He is a Fellow of the National Academy of Agricultural Sciences, India, and holds awards from the Indian Society of Remote Sensing for outstanding contribution in the field of remote sensing and the Doreen Mashler Team Award for outstanding contribution to integrated watershed management for sustainable development (as a member of ICRISAT team). He is also Associate Editor of the journal Photogrammetric Engineering Remote Sensing and Guest Editor, Remote Sensing, an open access journal, published by the Multidisciplinary Digital Publishing Institute (MDPI).


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Product Details
  • ISBN-13: 9781040121825
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1040121829
  • Publisher Date: 19 Nov 2024
  • Binding: Digital (delivered electronically)


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Advances in Geospatial Technologies for Natural Resource Management
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Advances in Geospatial Technologies for Natural Resource Management
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