Quantitative Remote Sensing in Thermal Infrared ― Theory and Applications

This comprehensive technical overview of the core theory of thermal remote sensing and its applications in hydrology, agriculture, and forestry includes a host of illuminating examples and covers everything from the basics to likely future trends in the field.

Dr. Huajun Tang is a research professor and vice president of the Chinese Academy of Agricultural Sciences (CAAS), Beijing. He received his B.S. (1982) in agronomy from South-west Agricultural University, China, and M.S. (1987), Ph.D. (1993) with greatest distinction in Physical Land Resources from University of Ghent, Belgium. His research areas include remote sensing and GIS applications, land use and crop modeling. Over the last decades, he has served as a consultant to a number of governmental agencies, nonprofit organizations and companies including World Bank, FAO, UNESCAP. He has published more than 100 papers in international and Chinese scientific journals and has received a number of scien-tech innovation awards and honors including the corresponding member of Belgian Royal Academy of Overseas Science, President of the Chinese Society of Agricultural Resources and Regional Planning.
Dr. Zhao-Liang Li received the Ph.D. degree in physics of terrestrial environment-remote sensing from University of Strasbourg, France, in 1990. Since 1992, he has been a research scientist (Directeur de Recherche from 2011) at CNRS, France. He joined the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences in 2013. He has participated in many national and international projects such as NASA-funded MODIS, EC-funded program EAGLE, and ESA funded programs SPECTRA, etc. His main expertise fields are in thermal infrared radiometry, parameterization of land surface processes at large scale, scaling change, as well as in the assimilation of satellite data to land surface models. He has published more than 100 papers in international refereed journals.