Share
Advances in Quantitative Remote Sensing in China-In Memory of Prof. Xiaowen Li: Volume 2 (in English)
Liang, Shunlin ; Shi, Jiancheng ; Yan, Guangjian (Author)
·
Mdpi AG
· Paperback
Advances in Quantitative Remote Sensing in China-In Memory of Prof. Xiaowen Li: Volume 2 (in English) - Liang, Shunlin ; Shi, Jiancheng ; Yan, Guangjian
$ 79.20
$ 99.00
You save: $ 19.80
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Thursday, July 04 and
Friday, July 05.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Advances in Quantitative Remote Sensing in China-In Memory of Prof. Xiaowen Li: Volume 2 (in English)"
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.
