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Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management - 2022 ed.

By: (Edited by) Francisco Munoz-Arriola , (Edited by) Gerald Augusto Corzo Perez , (Edited by) Krishna Kumar Yadav , (Edited by) Ram Narayan Yadava , (Edited by) Shalini Yadav , (Edited by) Vijay P. Singh

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Ksh 23,400.00

Format: Paperback / Softback

ISBN-10: 3031140982

ISBN-13: 9783031140983

Edition: 2022 ed.

Series: Water Science and Technology Library

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 3rd, 2024

Print length: 423 Pages

Product Classification: Ecological science, the Biosphere
Hydrology & the hydrosphere
Geographical information systems (GIS) & remote sensing
Environmental management
Natural disasters

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This book discusses the problems in planning, building, and management strategies in the wake of application and expansion of remote sensing and GIS products in natural resources and infrastructure management. The book suggests proactive solutions to problems of natural resources and infrastructure management, providing alternatives for strategic planning, effective delivery, and growth perspectives. The uniqueness of the book is its broader spectrum of coverage with related interconnections and interdependences across science, engineering, and innovation.  The book contains information that can be downscaled to the local level.  Presenting a wide spectrum of viewpoints and approaches, the book is a collective of topics such as application to agriculture and forestry (land and landscape, agriculture, forestry management and deforestation), water resources and ecology (hydro-meteorological, climate diagnostics, and prognostics, water resources management, environment management, cross-scale ecology and resilience), urban management (urban planning, design, construction and operations of infrastructure, natural disasters, novel approaches to upgrade old infrastructure), hydro informatics, predictive and geospatial data analytics, synthesis, and management through the various processes, tools, and technologies.

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