干旱区生态环境知识资源中心(Arid): EVALUATION OF SMAP AND SMOS SOIL MOISTURE PRODUCTS USING DISTRIBUTED GROUND OBSERVATION NETWORK IN COLD AND ARID REGIONS IN THE NORTHWEST OF CHINA

Arid

DOI	10.1109/IGARSS39084.2020.9323573
	EVALUATION OF SMAP AND SMOS SOIL MOISTURE PRODUCTS USING DISTRIBUTED GROUND OBSERVATION NETWORK IN COLD AND ARID REGIONS IN THE NORTHWEST OF CHINA
	Wang, Zengyan; Che, Tao; Dai, Liyun
通讯作者	Wang, ZY (corresponding author), Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat, Minist Educ,Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	SEP 26-OCT 02, 2020
会议地点	ELECTR NETWORK
英文摘要	Validation of existing satellite soil moisture (SM) products are critical for retrieval algorithms refinement and high-quality SM datasets achievement. Based on distributed ground observations, accuracy performance of two L-band (1.41GHz) passive microwave remotely sensed SM products of SMAP enhanced level 3 (L3) (SMAP-L3) and the newly published SMOS-INRA-CESBIO (SMOS-IC) are evaluated in Heihe River Basin (HRB) over various land surface types in Northwest China. Results reveals that: both two L-band SM products underestimate over grassland and cropland land cover types in HRB, and the underestimation obviously increases with the increasing vegetation effect. Totally, the SMAP L3 product behaves better in capturing the SM variation with the averaged ubRMSE values of 0.03m(3)/m(3) and high R values above 0.6 in ascending orbits for different land cover types in HRB, while the SMOS-IC retrievals are strongly affected by the severe RFI contamination and algorithm uncertainties which need to be handled before application, especially for the descending product.
英文关键词	soil moisture validation SMOS SMAP
来源出版物	IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
出版年	2020
页码	4731-4734
ISBN	978-1-7281-6374-1
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000664335304143
WOS类目	Computer Science, Artificial Intelligence ; Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Optics
WOS研究方向	Computer Science ; Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Optics
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365509
作者单位	[Wang, Zengyan] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat, Minist Educ,Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China; [Che, Tao; Dai, Liyun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zengyan,Che, Tao,Dai, Liyun. EVALUATION OF SMAP AND SMOS SOIL MOISTURE PRODUCTS USING DISTRIBUTED GROUND OBSERVATION NETWORK IN COLD AND ARID REGIONS IN THE NORTHWEST OF CHINA[C]:IEEE,2020:4731-4734.