干旱区生态环境知识资源中心(Arid): Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions

Arid

DOI	10.3390/agronomy12030628
	Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions
	Fathizad, Hassan; Taghizadeh-Mehrjardi, Ruhollah; Ardakani, Mohammad Ali Hakimzadeh; Zeraatpisheh, Mojtaba; Heung, Brandon; Scholten, Thomas
通讯作者	Fathizad, H
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2022
卷号	12 期号:3
英文摘要	Soil organic carbon (SOC) is an essential property of soil, and understanding its spatial patterns is critical to understanding vegetation management, soil degradation, and environmental issues. This study applies a framework using remote sensing data and digital soil mapping techniques to examine the spatiotemporal dynamics of SOC for the Yazd-Ardakan Plain, Iran, from 1986 to 2016. Here, a conditioned Latin hypercube sampling method was used to select 201 sampling sites. A set of 37 environmental predictors were obtained from Landsat imagery taken in 1986, 1999, 2010 and 2016. Here, SOC was modeled for 2016 using the Random Forest (RF), support vector regression (SVR), and artificial neural networks (ANN) machine-learners by correlating environmental predictors with soil data. The results showed that RF yielded the highest accuracy (R-2 = 0.53), compared to the other two learners. By performing a variable importance analysis of the RF model, normalized difference vegetation index, modified vegetation index, and ground-adjusted vegetation index were determined to be the most important environmental predictors. By applying the model calibrated from 2016 data to 1986, 1999 and 2010, the results showed a substantial decrease in SOC; these decreases in SOC were mainly attributed to land use changes and agricultural activities.
英文关键词	random forest machine learning spatial distribution variable importance analysis vegetation index temporal change
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000775512000001
WOS关键词	MATTER ; PREDICTION ; FOREST ; INDEX ; OPTIMIZATION ; SALINITY
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391732
推荐引用方式 GB/T 7714	Fathizad, Hassan,Taghizadeh-Mehrjardi, Ruhollah,Ardakani, Mohammad Ali Hakimzadeh,et al. Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions[J],2022,12(3).
APA	Fathizad, Hassan,Taghizadeh-Mehrjardi, Ruhollah,Ardakani, Mohammad Ali Hakimzadeh,Zeraatpisheh, Mojtaba,Heung, Brandon,&Scholten, Thomas.(2022).Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions.AGRONOMY-BASEL,12(3).
MLA	Fathizad, Hassan,et al."Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions".AGRONOMY-BASEL 12.3(2022).