Quantitative Remote Sensing in Thermal Infrared

Theory and Applications

Nonfiction, Science & Nature, Technology, Remote Sensing, Science, Earth Sciences
Cover of the book Quantitative Remote Sensing in Thermal Infrared by Huajun Tang, Zhao-Liang Li, Springer Berlin Heidelberg
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Author: Huajun Tang, Zhao-Liang Li ISBN: 9783642420276
Publisher: Springer Berlin Heidelberg Publication: December 25, 2013
Imprint: Springer Language: English
Author: Huajun Tang, Zhao-Liang Li
ISBN: 9783642420276
Publisher: Springer Berlin Heidelberg
Publication: December 25, 2013
Imprint: Springer
Language: English

This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing.
Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing.
Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.

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