Thermal Infrared Remote Sensing: Principles and Applications

This book systematically and comprehensively introduces concepts, theories, principles, and applications of Thermal Infrared (TIR) imaging spectral techniques and TIR remote sensing. It introduces in detail algorithms, techniques, and methods for processing and analyzing TIR data, including radiometric calibration and atmospheric correction in TIR region, retrieving land surface emissivity and temperature (LST) from various TIR data, and downscaling LST and TIR radiance spatiotemporally. Focusing on TIR-RS application orientation, this book introduces state-of-the-art techniques and methods applied in areas such as hydrology, biomass burning, urban thermal environment, and other areas of interest.

Features:

• Presents a complete coverage of thermal infrared remote sensing, from concepts to applications.
• Provides a thorough survey of characteristics and types of airborne and spaceborne TIR sensors, systems, and missions.
• Discusses principles and methods of radiometric calibration and atmospheric correction for correcting TIR data.
• Includes case studies that demonstrate the applicability and potential of a variety of techniques and methods to process TIR data.
• Offers a comprehensive review of TIR remote sensing applications.

This book is a great resource for professionals in the academic and corporate world and an insightful reference for graduate and senior undergraduate students studying geology, geography, geophysics, and environments, as well as natural resources and survey management.

Ruiliang Pu was a Professor at the School of Geosciences at the University of South Florida (USF). He received his MSc in Forest Management from Nanjing Forestry University, China in 1985, and earned a Ph.D in Cartography & Geographic Information System in 2000, at the University of California at Berkeley. He has published more than 138 journal papers, book chapters, in English and more than 26 journal articles in Chinese. In addition, he is the author of the book “Hyperspectral Remote Sensing: Fundamentals and Practices” (2017, CRC Press,), which was translated into Chinese and published in 2020 by Higher Education Press, Beijing, China. He has also co-written two books in Chinese with his Chinese colleagues. His publications have appeared in top- or higher-tier journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, Journal of Geophysical Research, Photogrammetric Engineering and Remote Sensing, and International Journal of Remote Sensing.

Qiuyan Yu is a Senior Scientist at Exponent Inc. in the Biological and Ecological Sciences practice. Before joining Exponent, she served as a Research Assistant Professor at New Mexico State University. She earned her Ph.D. in Geography and Environmental Science & Policy from the University of South Florida in 2018 under the mentorship of Dr. Ruiliang Pu and also holds an M.Sc. in Cartography and Geographic Information Systems from Beijing Normal University, China. Dr. Yu has led NASA-funded research projects, has served on NASA and NSF review panels, and has published more than 45 journal articles. She has contributed to over 100 industry-focused projects spanning from environmental science to machine learning and artificial intelligence-based modelling.