干旱区生态环境知识资源中心(Arid): Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area

Arid

DOI	10.1016/j.scitotenv.2020.138319
	Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area
	Fathololoumi, Solmaz; Vaezi, Ali Reza; Alavipanah, Seyed Kazem; Ghorbani, Ardavan; Biswas, Asim
通讯作者	Fathololoumi, S
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2020
卷号	724
英文摘要	Accurate information on soil moisture (SM) is critical in various applications including agriculture, climate, hydrology, soil and drought. In this paper, various predictive relationships including regression (Multiple Linear Regression, MLR), machine learning (Random Forest, RF; Triangular regression, Tr) and spatial modeling (Inverse Distance Weighing, IDW and Ordinary kriging, OK) approaches were compared to estimate SM in a semi-arid mountainous watershed. In developing predictive relationship, Remote Sensing datasets including Landsat 8 satellite imagery derived surface biophysical characteristic, ASTER digital elevation model (DEM) derived surface topographical characteristic, climatic data recorded at the synoptic station and in situ SM data measured at Landsat 8 overpass time were utilized, while in spatial modeling, point-based SM measurements were interpolated. While 70%(calibration set) of the measured SM data were used for modeling, 30%(validation set) were used to evaluate modeling accuracy. Finally, the SM uncertainty maps were created for different models based on a bootstrapping approach. Among the environmental parameter sets, land surface temperature (LST) showed the highest impact on the spatial distribution of SM in the region at all dates. Mean R-2(RMSE) between measured and modeled SM on three dates obtained from the MLR, RF, IDW, OK, and Tr models were 0.70(1.97%), 0.72 (1.92%), 0.59(2.38%), 0.59(2.27%) and 0.71(1.99%), respectively. The results showed that RF and IDW produced the highest and lowest performance in SM modeling, respectively. Generally, the performance of RS-based models was higher than interpolation models for estimating SM due to the influence from combination of topographic parameters and surface biophysical characteristics. Modeled SM uncertainty with different models varies in the study area. The highest uncertainty in SM modeling was observed at the north part of the study area where the surface heterogeneity is high. Using RS data increased the accuracy of SM modeling because they can capture the surface biophysical characteristics and topographical properties heterogeneity. (C) 2020 Published by Elsevier B.V.
英文关键词	Soil moisture Interpolation methods Regression Variable importance Vector machine Uncertainty
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000532696800006
WOS关键词	LAND-SURFACE TEMPERATURE ; TRIANGLE METHOD ; MU-M ; VEGETATION ; INDEX ; REFLECTANCE ; TERRAIN ; OLI ; EVAPOTRANSPIRATION ; UNCERTAINTY
WOS类目	Environmental Sciences
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/2XILL650/324447
作者单位	[Fathololoumi, Solmaz; Vaezi, Ali Reza] Univ Zanjan, Fac Agr, Dept Soil Sci, Zanjan, Iran; [Alavipanah, Seyed Kazem] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran; [Alavipanah, Seyed Kazem] Humboldt Univ, Dept Geog, Berlin, Germany; [Ghorbani, Ardavan] Univ Mohaghegh Ardebili, Fac Agr & Nat Resources, Dept Nat Resources, Ardebil, Iran; [Biswas, Asim] Univ Guelph, Sch Environm Sci, Guelph, ON, Canada
推荐引用方式 GB/T 7714	Fathololoumi, Solmaz,Vaezi, Ali Reza,Alavipanah, Seyed Kazem,et al. Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area[J],2020,724.
APA	Fathololoumi, Solmaz,Vaezi, Ali Reza,Alavipanah, Seyed Kazem,Ghorbani, Ardavan,&Biswas, Asim.(2020).Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area.SCIENCE OF THE TOTAL ENVIRONMENT,724.
MLA	Fathololoumi, Solmaz,et al."Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area".SCIENCE OF THE TOTAL ENVIRONMENT 724(2020).