干旱区生态环境知识资源中心(Arid): Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach

Arid

DOI	10.1080/10106049.2021.1959656
	Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach
	Tolche, Abebe Debele; Gurara, Megersa Adugna; Pham, Quoc Bao; Anh, Duong Tran
通讯作者	Anh, DT (corresponding author), Ho Chi Minh City Univ Technol HUTECH, Inst Appl Sci, 475A, Ho Chi Minh City, Vietnam.
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2021-07
英文摘要	Land degradation and desertification have recently become a critical problem in Ethiopia. Accordingly, identification of land degradation vulnerable zonation and mapping was conducted in Wabe Shebele River Basin, Ethiopia. Precipitation derived from Global Precipitation Measurement Mission (GMP), the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized difference vegetation index (NDVI) and land surface temperature (LST), topography (slope), and pedological properties (i.e., soil depth, soil pH, soil texture, and soil drainage) were used in the current study. NDVI has been considered as the most significant parameter followed by the slope, precipitation and temperature. Geospatial techniques and the Analytical Hierarchy Process (AHP) approach were used to model the land degradation vulnerable index. Validation of the results with google earth image shows the applicability of the model in the study. The result is classified into very highly vulnerable (17.06%), highly vulnerable (15.01%), moderately vulnerable (32.72%), slightly vulnerable (16.40%), and very slightly vulnerable (18.81%) to land degradation. Due to the small rate of precipitation which is vulnerable to evaporation by high temperature in the region, the downstream section of the basis is categorized as highly vulnerable to Land Degradation (LD) and vice versa in the upstream section of the basin. Moreover, the validation using the Receiver Operating Characteristic (ROC) curve analysis shows an area under the ROC curve value of 80.92% which approves the prediction accuracy of the AHP method in assessing and modelling LD vulnerability zone in the study area. The study provides a substantial understanding of the effect of land degradation on sustainable land use management and development in the basin.
英文关键词	Land degradation MODIS NDVI AHP land surface temperature pedological properties soil and water conservation
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000680375500001
WOS关键词	USE/LAND-COVER CHANGE ; SOIL LOSS ; CHANNEL STABILITY ; SLOPE GRADIENT ; RIVER-BASIN ; CLIMATE ; NDVI ; IMPACT ; RISK ; DESERTIFICATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363373
作者单位	[Tolche, Abebe Debele; Gurara, Megersa Adugna] Haramaya Univ, Haramaya Inst Technol, Sch Water Resources & Environm Engn, Dire Dawa, Ethiopia; [Pham, Quoc Bao] Thu Dau Mot Univ, Inst Appl Technol, Thu Dau Mot, Binh Duong Prov, Ethiopia; [Anh, Duong Tran] Ho Chi Minh City Univ Technol HUTECH, Inst Appl Sci, 475A, Ho Chi Minh City, Vietnam
推荐引用方式 GB/T 7714	Tolche, Abebe Debele,Gurara, Megersa Adugna,Pham, Quoc Bao,et al. Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach[J],2021.
APA	Tolche, Abebe Debele,Gurara, Megersa Adugna,Pham, Quoc Bao,&Anh, Duong Tran.(2021).Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach.GEOCARTO INTERNATIONAL.
MLA	Tolche, Abebe Debele,et al."Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach".GEOCARTO INTERNATIONAL (2021).