Bokus
Ni-Bin Chang - Environmental Remote Sensing and Systems Analysis, E-bok

E-bok, Engelska, 2012

Environmental Remote Sensing and Systems Analysis

Av Ni-Bin Chang

1255 kr

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Beskrivning
Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implicatio
Produktinformation
  • Utgivningsdatum: 2012-03-23
  • Språk: Engelska
  • Filformat: PDF
  • Kopieringsskydd: LCP
  • ISBN: 9781439877449
  • Förlag: Taylor & Francis Inc
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Mer om författaren

Dr. Ni-Bin Chang is currently a professor with the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. He is also a senior member of the Institute of Electronics and Electrical Engineers (IEEE) and is affiliated with the IEEE Geoscience and Remote Sensing Society and the IEEE Computational Intelligence Society. He has earned the selectively awarded titles of Certificate of Leadership in Energy and Environment Design (LEED) in 2004, Board Certified Environmental Engineer (BCEE) in 2006, Diplomat of Water Resources Engineer (DWRE) in 2007, elected Member of the European Academy of Sciences (EAS) in 2008, elected Fellow of the American Society of Civil Engineers (ASCE) in 2009, and elected Fellow of the American Association for the Advancement of Science (AAAS) in 2011. He was one of the founders of International Society of Environmental Information Management and the former editor-in-chief of the Journal of Environmental Informatics. He is currently an editor, associate editor, or editorial board member of more than 30 international journals.

Recensioner i media

"... will help emerging environmental scientists as well as graduate and undergraduate students working on their research studies in formulating their research methods to incorporate appropriate RS data and techniques." -Photogrammetric Engineering & Remote Sensing, July 2013

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