GENERATION OF SMAP 9 KM SOIL MOISTURE USING A SPATIO-TEMPORAL INFORMATION FUSION MODEL

被引：0

作者：

Jiang, Hongtao ^{[1
]}

Shen, Huanfeng ^{[1
]}

Li, Xinghua ^{[2
]}

Zhang, Liangpei ^{[3
]}

机构：

[1] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China

[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Hubei, Peoples R China

[3] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

基金：

中国国家自然科学基金;

关键词：

SMAP; failed radar; STNLFFM; 9 km soil moisture generation; LANDSAT;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Soil Moisture Active Passive ( SMAP) satellite mission, launched on Jan. 31, 2015, can provide a 9 km soil moisture product globally by merging passive and active observations. However, the radar sensor of SMAP was failed since Jul. 7, 2015 and SMAP 9 km SM product (SMAP_AP) is only available for 85 days. To ameliorate the vacancy of SMAP_AP, a spatiotemporal fusion model STNLFFM combined with the SMAP 36 km soil moisture product (SMAP_P) is utilized to generate 9 km soil moisture SM product (SMAP_F). Generation of SMAP_F was implemented over one year from Apr. 13, 2015 to Apr. 12, 2016 in the paper. Then SMAP_F was evaluated by SMAP_AP and in-situ soil moisture from international soil moisture network. It is revealed that the STNLFFM can be taken as an effective method for SMAP 9 km soil moisture generation.

引用

页码：2008 / 2011

页数：4

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