This book will present new research regarding the interdisciplinary applications of spatial information sciences for identification, assessment, monitoring, and modeling issues related to natural resources and environmental management. It will focus on the creation, collection, storage, processing, modeling, interpretation, display and dissemination of spatio-temporal data, which could greatly aid with environmental management issues including ecosystem change, resource utilization, land use management, and environmental pollution. The positive environmental impacts of information technology advancements with regard to global environmental and climate change will also be discussed.

Features

Explains how geospatial information can best serve environmental management needs, including ecosystem change, resource utilization, land use management, and environmental pollution.
Examines the environmental impacts of information technology advancements with regard to global environmental and climate change.
Focuses on the creation, collection, storage, processing, modeling, interpretation, display and dissemination of environmental spatio-temporal data.
Presents examples of applications for spatial information sciences regarding the assessment, monitoring, and modeling of natural resources.
Includes practical case studies in every chapter.

About the Author

Chander Kumar Singh is an Assistant Professor at TERI University in the Dept. of Regional Water Studies, and is a remote sensing and GIS specialist by training. He was awarded the Young Scientist Award by the International Union of Geological Sciences at the Euro Conference 2009, in Switzerland. He leads one of the most prestigious PEER Science, USAID funded studies. He has authored more than 70 research papers in journals and conferences in past 5 years. He has received grants from several international and national funding agencies such as USAID, National Science Foundation, International Growth Centre, UKAID, and Oxford University. He has delivered invited talks at MIT, Boston University, and Columbia University under HESN and Superfund research program.

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