干旱区生态环境知识资源中心(Arid): Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model

Arid

DOI	10.3390/hydrology6020044
	Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model
	Gheybi, Fatemeh; Paridad, Parivash; Faridani, Farid; Farid, Ali; Pizarro, Alonso; Fiorentino, Mauro; Manfreda, Salvatore
通讯作者	Pizarro, A
来源期刊	HYDROLOGY
ISSN	2306-5338
出版年	2019
卷号	6 期号:2
英文摘要	Monitoring Surface Soil Moisture (SSM) and Root Zone Soil Moisture (RZSM) dynamics at the regional scale is of fundamental importance to many hydrological and ecological studies. This need becomes even more critical in arid and semi-arid regions, where there are a lack of in situ observations. In this regard, satellite-based Soil Moisture (SM) data is promising due to the temporal resolution of acquisitions and the spatial coverage of observations. Satellite-based SM products are only able to estimate moisture from the soil top layer; however, linking SSM with RZSM would provide valuable information on land surface-atmosphere interactions. In the present study, satellite-based SSM data from Soil Moisture and Ocean Salinity (SMOS), Advanced Microwave Scanning Radiometer 2 (AMSR2), and Soil Moisture Active Passive (SMAP) are first compared with the few available SM in situ observations, and are then coupled with the Soil Moisture Analytical Relationship (SMAR) model to estimate RZSM in Iran. The comparison between in situ SM observations and satellite data showed that the SMAP satellite products provide more accurate description of SSM with an average correlation coefficient (R) of 0.55, root-mean-square error (RMSE) of 0.078 m(3) m(-3) and a Bias of 0.033 m(3)( )m(-3). Thereafter, the SMAP satellite products were coupled with SMAR model, providing a description of the RZSM with performances that are strongly influenced by the misalignment between point and pixel processes measured in the preliminary comparison of SSM data.
英文关键词	surface soil moisture root-zone soil moisture remote sensing SMAR
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000474247900016
WOS关键词	NEAR-SURFACE ; RETRIEVALS ; STREAMFLOW ; DROUGHT ; REGIONS ; TRENDS ; SMOS ; ASSIMILATION ; PERFORMANCE ; PRODUCTS
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333657
作者单位	[Gheybi, Fatemeh; Faridani, Farid; Farid, Ali] Ferdowsi Univ Mashhad, Dept Water Sci & Engn, Mashhad 91779489, Razavi Khorasan, Iran; [Paridad, Parivash; Pizarro, Alonso; Fiorentino, Mauro; Manfreda, Salvatore] Univ Basilicata, Dept European & Mediterranean Cultures, I-75100 Matera, Italy
推荐引用方式 GB/T 7714	Gheybi, Fatemeh,Paridad, Parivash,Faridani, Farid,et al. Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model[J],2019,6(2).
APA	Gheybi, Fatemeh.,Paridad, Parivash.,Faridani, Farid.,Farid, Ali.,Pizarro, Alonso.,...&Manfreda, Salvatore.(2019).Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model.HYDROLOGY,6(2).
MLA	Gheybi, Fatemeh,et al."Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model".HYDROLOGY 6.2(2019).