干旱区生态环境知识资源中心(Arid): Land degradation modeling of dust storm sources using MODIS and meteorological time series data

Arid

DOI	10.1016/j.jaridenv.2021.104507
	Land degradation modeling of dust storm sources using MODIS and meteorological time series data
	Bakhtiari, Mohsen; Boloorani, Ali Darvishi; Kakroodi, Ataollah Abdollahi; Rangzan, Kazem; Mousivand, Alijafar
通讯作者	Boloorani, AD (corresponding author), Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Azin Alley 50,Vesal Str, Tehran, Iran.
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2021
卷号	190
英文摘要	Land degradation affects environmental integrity and threatens sustainable development worldwide by contributing to a number of social, economic, and ecological problems. This study uses time series of MODIS products, meteorological data, and ground truth map from dust storm sources to assess the spatial-temporal behavior of land degradation through a Random Forest algorithm in the southwest of Iran. Spatial-temporal variations in land surface biophysical properties of dust sources and surrounding areas were modeled using different time-series data on a 16-days, monthly, seasonal, annual, and 20-year basis from 2000 to 2019. Land degradation was estimated using the Random Forest algorithm. Dust storm sources were used to evaluate land degradation estimates. Furthermore, sensitivity analysis was carried out to identify the most influential biophysical variables. The results revealed that (i) 16-day time series data performs best in assessing land degradation; (ii) Apparent Thermal Inertia (ATI) was identified as the most influential variable for land degradation assessment; and (iii) there is a marked tendency towards land degradation in areas with severe land cover changes, mainly change from wetland to other classes.
英文关键词	Land degradation (LD) Dust source (DS) Time series analysis Random forest (RF) Land cover change (LCC)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000656218900005
WOS关键词	PHENOLOGY DETECTION ; RANDOM FORESTS ; SOURCE REGIONS ; SENSITIVITY ; FUTURE ; INDEX ; WATER ; DESERTIFICATION ; ERODIBILITY ; RESOLUTION
WOS类目	Ecology ; 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/2XILL650/350710
作者单位	[Bakhtiari, Mohsen; Boloorani, Ali Darvishi; Kakroodi, Ataollah Abdollahi] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Azin Alley 50,Vesal Str, Tehran, Iran; [Rangzan, Kazem] Shahid Chamran Univ Ahvaz, Fac Earth Sci, Dept Remote Sensing & GIS, Ahvaz, Iran; [Mousivand, Alijafar] Tarbiat Modares Univ, Dept Remote Sensing & GIS, Tehran, Iran
推荐引用方式 GB/T 7714	Bakhtiari, Mohsen,Boloorani, Ali Darvishi,Kakroodi, Ataollah Abdollahi,et al. Land degradation modeling of dust storm sources using MODIS and meteorological time series data[J],2021,190.
APA	Bakhtiari, Mohsen,Boloorani, Ali Darvishi,Kakroodi, Ataollah Abdollahi,Rangzan, Kazem,&Mousivand, Alijafar.(2021).Land degradation modeling of dust storm sources using MODIS and meteorological time series data.JOURNAL OF ARID ENVIRONMENTS,190.
MLA	Bakhtiari, Mohsen,et al."Land degradation modeling of dust storm sources using MODIS and meteorological time series data".JOURNAL OF ARID ENVIRONMENTS 190(2021).