干旱区生态环境知识资源中心(Arid): A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation

Arid

DOI	10.3390/rs11171968
	A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation
	Ghilain, Nicolas 1; Arboleda, Alirio 1; Batelaan, Okke 2; Ardo, Jonas 3; Trigo, Isabel 4; Barrios, Jose-Miguel 1; Gellens-Meulenberghs, Francoise 1
通讯作者	Ghilain, Nicolas
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:17
英文摘要	Monitoring soil moisture at the Earth'surface is of great importance for drought early warnings. Spaceborne remote sensing is a keystone in monitoring at continental scale, as satellites can make observations of locations which are scarcely monitored by ground-based techniques. In recent years, several soil moisture products for continental scale monitoring became available from the main space agencies around the world. Making use of sensors aboard polar satellites sampling in the microwave spectrum, soil moisture can be measured and mapped globally every few days at a spatial resolution as fine as 25 km. However, complementarity of satellite observations is a crucial issue to improve the quality of the estimations provided. In this context, measurements within the visible and infrared from geostationary satellites provide information on the surface from a totally different perspective. In this study, we design a new retrieval algorithm for daily soil moisture monitoring based only on the land surface temperature observations derived from the METEOSAT second generation geostationary satellites. Soil moisture has been retrieved from the retrieval algorithm for an eight years period over Europe and Africa at the SEVIRI sensor spatial resolution (3 km at the sub-satellite point). The results, only available for clear sky and partly cloudy conditions, are for the first time extensively evaluated against in-situ observations provided by the International Soil Moisture Network and FLUXNET at sites across Europe and Africa. The soil moisture retrievals have approximately the same accuracy as the soil moisture products derived from microwave sensors, with the most accurate estimations for semi-arid regions of Europe and Africa, and a progressive degradation of the accuracy towards northern latitudes of Europe. Although some possible improvements can be expected by a better use of other products derived from SEVIRI, the new approach developped and assessed here is a valuable alternative to microwave sensors to monitor daily soil moisture at the resolution of few kilometers over entire continents and could reveal a good complementarity to an improved monitoring system, as the algorithm can produce surface soil moisture with less than 1 day delay over clear sky and non-steady cloudy conditions (over 10% of the time).
英文关键词	soil moisture geostationary validation SEVIRI thermal infrared land surface temperature
类型	Article
语种	英语
国家	Belgium ; Australia ; Sweden ; Portugal
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000486874300012
WOS关键词	LAND-SURFACE TEMPERATURE ; ANTECEDENT WETNESS CONDITIONS ; WATER CONTENT ; INERTIA ; METEOSAT ; RESOLUTION ; NETWORK ; FLUXES ; BASIN ; SMOS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218410
作者单位	1.Royal Meteorol Inst Belgium, B-1180 Brussels, Belgium; 2.Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA 5001, Australia; 3.Lund Univ, Dept Phys Geog & Ecosystem Sci, SE-22100 Lund, Sweden; 4.Inst Mar & Atmosfera, P-1749077 Lisbon, Portugal
推荐引用方式 GB/T 7714	Ghilain, Nicolas,Arboleda, Alirio,Batelaan, Okke,et al. A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation[J],2019,11(17).
APA	Ghilain, Nicolas.,Arboleda, Alirio.,Batelaan, Okke.,Ardo, Jonas.,Trigo, Isabel.,...&Gellens-Meulenberghs, Francoise.(2019).A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation.REMOTE SENSING,11(17).
MLA	Ghilain, Nicolas,et al."A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation".REMOTE SENSING 11.17(2019).