干旱区生态环境知识资源中心(Arid): Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition

Arid

DOI	10.3390/land8090142
	Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition
	Vova, Oyudari; Kappas, Martin; Emam, Ammar Rafiei
通讯作者	Vova, O (corresponding author), Univ Gottingen, Inst Geog, GIS & Remote Sensing Dept, Cartog, Goldschmidtstr St 5, D-37007 Gottingen, Germany.
来源期刊	LAND
EISSN	2073-445X
出版年	2019
卷号	8 期号:9
英文摘要	Monitoring of soil moisture dynamics provides valuable information about grassland degradation, since soil moisture directly affects vegetation cover. While the Mongolian soil moisture monitoring network is limited to the urban and protected natural areas, remote sensing data can be used to determine the soil moisture status elsewhere. In this paper, we determine whether in situ and remotely sensed data in the unaccounted areas of Southwestern Mongolia are consistent with each other, by comparing Soil Moisture and Ocean Salinity (SMOS) first passive L-band satellite data with in situ measurements. To evaluate the soil moisture products, we calculated the temporal, seasonal, and monthly average soil moisture content. We corrected the bias of SMOS soil moisture (SM) data using the in situ measured soil moisture with both the simple ratio and gamma methods. We verified the bias-corrected SMOS data with Nash-Sutcliffe method. The comparison results suggest that bias correction (of the simple ratio and gamma methods) enhances the reliability of the SMOS data, resulting in a higher correlation coefficient. We then examined the correlation between SMOS and Normalized Difference Vegetation Index (NDVI) index in the various ecosystems. Analysis of the SMOS and in situ measured soil moisture data revealed that spatial soil moisture distribution matches the rainfall events in Southwestern Mongolia for the period 2010 to 2015. The results illustrate that the bias-corrected, monthly-averaged SMOS data has a high correlation with the monthly-averaged NDVI (R-2 > 0.81). Both NDVI and rainfall can be used as indicators for grassland monitoring in Mongolia. During 2015, we detected decreasing soil moisture in approximately 30% of the forest-steppe and steppe areas. We assume that the current ecosystem of land is changing rapidly from forest to steppe and also from steppe to desert. The rainfall rate is the most critical factor influencing the soil moisture storage capacity in this region. The collected SMOS data reflects in situ conditions, making it an option for grassland studies.
英文关键词	SMOS soil moisture statistics methods Nash-Sutcliffe NDVI precipitation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:000487950400010
WOS关键词	SMOS VALIDATION ; DYNAMICS ; DEGRADATION ; RETRIEVAL ; NETWORK ; CLIMATE ; STEPPE ; CHINA
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369910
作者单位	[Vova, Oyudari; Kappas, Martin; Emam, Ammar Rafiei] Univ Gottingen, Inst Geog, GIS & Remote Sensing Dept, Cartog, Goldschmidtstr St 5, D-37007 Gottingen, Germany
推荐引用方式 GB/T 7714	Vova, Oyudari,Kappas, Martin,Emam, Ammar Rafiei. Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition[J],2019,8(9).
APA	Vova, Oyudari,Kappas, Martin,&Emam, Ammar Rafiei.(2019).Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition.LAND,8(9).
MLA	Vova, Oyudari,et al."Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition".LAND 8.9(2019).