Advances In Quantitative Remote Sensing In China In Memory Of Prof Xiaowen Li Volume 2

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Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li

Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li
Author :
Publisher : MDPI
Total Pages : 404
Release :
ISBN-10 : 9783038972761
ISBN-13 : 3038972762
Rating : 4/5 (762 Downloads)

Book Synopsis Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li by : Shunlin Liang

Download or read book Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li written by Shunlin Liang and published by MDPI. This book was released on 2019-03-07 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.


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