气候变化领域集成服务门户(CCPortal): A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures

CCPortal

DOI	10.1080/01431161.2017.1363438
	A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures
	Han, Menglei; Lu, Hui; Yang, Kun; Qin, Jun; Chen, Yingying; Zhao, Long; Lazhu
通讯作者	Lu, H (通讯作者)
发表日期	2017
ISSN	0143-1161
EISSN	1366-5901
起始页码	6735
结束页码	6754
卷号	38 期号:23
英文摘要	In this study, a multi-frequency statistical algorithm is proposed for retrieving surface soil temperature (T-s) from AMSR-E (Advanced Microwave Scanning Radiometer for Earth Observation System) brightness temperature (T-B) observations. The algorithm was developed based on a regression analysis between T-B from all AMSR-E bands and the corresponding in situ T-s observed by a soil moisture and temperature network in the central Tibetan Plateau. The new algorithm effectively utilizes information from the different bands provided by AMSR-E, lessening the influence of soil moisture, vegetation, and water vapour. Further validations were conducted based on seven soil moisture and temperature observation networks distributed globally. The results showed that the new multi-frequency algorithm can produce T-s values with a mean bias of less than 2 K and a root mean square error of less than 3 K for different vegetation-covered areas of the globe. Compared with a widely used single-band inversion algorithm, the new multi-frequency algorithm has better accuracy in estimating T-s and does not suffer from considerable overestimation or underestimation across these networks, indicating good transferability. This algorithm could contribute to research relating to the land energy balance by providing consistent and independent long-term estimates of daily global T-s. Nevertheless, the new algorithm has limited ability to retrieve T-s of frozen soil, given that AMSR-E T-B values are affected by the deep soil temperature after a soil is frozen.
关键词	IN-SITU OBSERVATIONS TIBETAN PLATEAU RADIOFREQUENCY INTERFERENCE MOISTURE NETWORK VALIDATION PRODUCTS MODEL GHZ SIMULATIONS RESOLUTION
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000412545900015
来源期刊	INTERNATIONAL JOURNAL OF 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/259063
推荐引用方式 GB/T 7714	Han, Menglei,Lu, Hui,Yang, Kun,et al. A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures[J]. 中国科学院青藏高原研究所,2017,38(23).
APA	Han, Menglei.,Lu, Hui.,Yang, Kun.,Qin, Jun.,Chen, Yingying.,...&Lazhu.(2017).A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(23).
MLA	Han, Menglei,et al."A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.23(2017).