Electromagnetic Scattering Of Dense Media With Application To Active And Passive Microwave Remote Sensing Of Terrestrial Snow
Download Electromagnetic Scattering Of Dense Media With Application To Active And Passive Microwave Remote Sensing Of Terrestrial Snow PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Electromagnetic Scattering Of Dense Media With Application To Active And Passive Microwave Remote Sensing Of Terrestrial Snow book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Comprehensive Remote Sensing
Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Electromagnetic Scattering of Dense Media with Application to Active and Passive Microwave Remote Sensing of Terrestrial Snow
It is of great importance to estimate the amount and the variation of water storage in the form of seasonal snowpack, in order to effectively monitor and manage the water resources all over the world. It is believed that significant temporal changes and spatial changes in local snowpack, regional snowpack and global snow are due to climate change. The Snow Water Equivalent (SWE) is defined as the depth of some hypothetical water which is melted instantaneously from an entire snowpack. Therefore the estimate of SWE is critical to the understanding of the water cycle, water resource management, prediction of climate change, flood forecasting, etc. Microwave remote sensing has been used in estimating SWE for decades. As radar measurement, radiometric measurement, and ground measurement data abound in microwave remote sensing campaigns, it is important to connect the ground measurement to electrical measurement by developing accurate physical models for snow, as well as scattering models for random medium. In this dissertation, Dense Media Radiative Transfer (DMRT) is combined with Quasi-Crystalline Approximation (QCA) and bicontinuous model. The DMRT-QCA and DMRT-bicontinuous are applied to data analysis of recent multi-frequency backscattering coefficients measurements in SnowSAR and SnowScat campaigns respectively. Then DMRT-bicontinuous model is used to study both active and passive remote sensing in the NoSREx campaign. Backscattering enhancement effect is considered. Lastly, the QCA model and the bicontinuous model are compared in microwave scattering as well as the medium characterization. The parameter extraction of these two models from ground measurement are discussed.
Advanced Remote Sensing
Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation. - Provides a comprehensive overview of many practical methods and algorithms - Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing - Includes real-world case studies and end-of-chapter exercises - Contains thoroughly revised chapters, newly developed applications and updated examples