Title :
Soil Moisture Retrieval From AMSR-E Data in Xinjiang (China): Models and Validation
Author :
Zhang, Xianfeng ; Zhao, Jiepeng ; Sun, Quan ; Wang, Xuyang ; Guo, Yulong ; Li, Jonathan
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fDate :
3/1/2011 12:00:00 AM
Abstract :
Accurate soil moisture information is required for studying the global water and energy cycles as well as the carbon cycle. The AMSR-E sensor onboard NASA´s Aqua satellite offers a new means to accurately retrieve soil moisture information at a regional and global scale. However, the characterization of the factors such as precipitation, vegetation, cloud, ground roughness, and ice-snow packs is sensitive to the retrieval of the soil moisture content from the remotely sensed data.
Keywords :
atmospheric precipitation; hydrological techniques; hydrology; ice; remote sensing; snow; soil; vegetation; AD 2009 05 to 09; AMSR-E data; Aqua satellite; China; National Snow and Ice Data Center; WET instrument measurement; WatchDog instrument measurement; Xinjiang; carbon cycle; ground roughness; ground truth data; ice-snow packs; precipitation; remotely sensed data; soil moisture retrieval; vegetation; AMSR-E; arid area; inversion; precipitation; soil moisture;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2010.2076336
