Quantitative Remote Sensing
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Quantitative Remote Sensing in Thermal Infrared
Author: Huajun Tang
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-12-25
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.
Electromagnetic Scattering Modelling for Quantitative Remote Sensing
Advances during the last two decades in radio electronics, space science and computers have turned remote sensing technology into one of the most effective tools for global exploration and environmental monitoring. This book is a comprehensive account of the theoretical models and techniques required for a full interpretation of the rich images and data that remote sensing can provide. Starting with the basics of vector radiative transfer and scattering theory, the book goes on to develop quantitative methods involving most comprehensive models of discrete scatters, continuous random media and randomly rough surfaces. References are constantly made to real-world parameters and models involved in the probing of different types of geographical terrain. The book is intended as an introductory graduate text and a research reference. It assumes a reasonable foundation in electromagnetism and common techniques in mathematical physics.
Quantitative Methods and Applications in GIS
Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations. Applications vary from typical themes in urban and regional