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
收藏
页码：2008 / 2011
页数：4
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