气候变化领域集成服务门户(CCPortal): An Algorithm Based on the Standard Deviation of Passive Microwave Brightness Temperatures for Monitoring Soil Surface Freeze/Thaw State on the Tibetan Plateau

CCPortal

DOI	10.1109/TGRS.2014.2364823
	An Algorithm Based on the Standard Deviation of Passive Microwave Brightness Temperatures for Monitoring Soil Surface Freeze/Thaw State on the Tibetan Plateau
	Han, Menglei; Yang, Kun; Qin, Jun; Jin, Rui; Ma, Yaoming; Wen, Jun; Chen, Yingying; Zhao, Long; Zhu, La; Tang, Wenjun
通讯作者	Han, ML (通讯作者)
发表日期	2015
ISSN	0196-2892
EISSN	1558-0644
起始页码	2775
结束页码	2783
卷号	53 期号:5
英文摘要	The land surface on the Tibetan Plateau (TP) experiences diurnal and seasonal freeze/thaw processes that play important roles in the regional water and energy exchanges, and passive microwave satellites provide opportunities to detect the soil state for this region. With the support of three soil moisture and temperature networks on the TP, a dual-index microwave algorithm with Advanced Microwave Scanning Radiometer-Earth Observing System data is developed for the detection of soil surface freeze/thaw state. One index is the standard deviation index (SDI) of brightness temperature (TB), which is defined as the standard deviation of horizontally polarized brightness temperatures at 6.9, 10.7, 18.7, 23.8, 36.5, and 89.0 GHz. It is the major index and is used to reflect the reduction of liquid water content after soils get frozen. The other index is the 36.5-GHz vertically polarized brightness temperature (TB36.5V), which is linearly correlated with ground temperature. The threshold values of the two indices (SDI and TB36.5V) are determined with one grid from the network located in a semiarid climate, and the algorithm is validated with other grids from the same network. Further validations are conducted based on the other two networks located in different climates (semihumid and arid, respectively). Results show that the classification accuracy using this algorithm is more than 90% for the semihumid and semiarid regions, and misclassifications mainly occur at the transition period between unfrozen and frozen seasons. Nevertheless, the algorithm has limited capability in identifying the soil surface freeze/thaw state in the arid region because the microwave signals can penetrate deep dry soils and thus embody the bulk information beyond the surface layer.
关键词	MOISTURE SATELLITE RADIOBRIGHTNESS VALIDATION NETWORK SYSTEM MODEL
英文关键词	Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E); classification; soil surface freeze/thaw; Tibetan Plateau (TP)
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000351063100038
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258551
推荐引用方式 GB/T 7714	Han, Menglei,Yang, Kun,Qin, Jun,et al. An Algorithm Based on the Standard Deviation of Passive Microwave Brightness Temperatures for Monitoring Soil Surface Freeze/Thaw State on the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2015,53(5).
APA	Han, Menglei.,Yang, Kun.,Qin, Jun.,Jin, Rui.,Ma, Yaoming.,...&Tang, Wenjun.(2015).An Algorithm Based on the Standard Deviation of Passive Microwave Brightness Temperatures for Monitoring Soil Surface Freeze/Thaw State on the Tibetan Plateau.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(5).
MLA	Han, Menglei,et al."An Algorithm Based on the Standard Deviation of Passive Microwave Brightness Temperatures for Monitoring Soil Surface Freeze/Thaw State on the Tibetan Plateau".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.5(2015).