Kang, Zhang, and Tanaka's comprehensive reference work take an interdisciplinary approach to explain the principles of remote sensing, data characteristics and parameters, and data processing tools; describe the many applications of remote sensing; and explore future trends related to this process.
Kang, Zhang, and Tanaka's comprehensive reference work take an interdisciplinary approach to explain the principles of remote sensing, data characteristics and parameters, and data processing tools; describe the many applications of remote sensing; and explore future trends related to this process.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jing Kang is an assistant professor at Waseda University. Her interdisciplinary work addresses complex climate-environment-human relations and land surface processes. She obtained her PhD from Beijing Normal University in 2017. She is a member of IEEE Geosciences and Remote Sensing and the GIS Association of Japan. Ming Zhang is a Professor and the Program Director of Community and Regional Planning in the School of Architecture at the University of Texas at Austin. He obtained his B.E. and M.E. from Tsinghua University, Beijing, China, a master's degree and GIS Certificate from the State University of New York at Albany, and a further M.S. and Ph.D. from MIT. Takahiro Tanaka is a Professor at the Graduate School of Advanced Science and Engineering, Hiroshima University, Japan. He obtained his master's and PhD degrees from Yokohama National University. He is a member of the Architectural Institute of Japan, The City Planning Institute of Japan, Japanese Institute of Landscape Architecture, GIS Association of Japan, The Society of Heating, Air-Conditioning and Sanitary Engineers of Japan, and Heat Island Institute International.
Inhaltsangabe
1. What is Remote Sensing 2. Data Sources and Collection 3. Data Processing and Analysis Tools 4. Terrestrial Applications 5. Atmospheric Monitoring 6. Applications Related to Climate Change 7. Remote Sensing with Cloud Computing
1. What is Remote Sensing 2. Data Sources and Collection 3. Data Processing and Analysis Tools 4. Terrestrial Applications 5. Atmospheric Monitoring 6. Applications Related to Climate Change 7. Remote Sensing with Cloud Computing
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