干旱区生态环境知识资源中心(Arid): Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)

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DOI	10.3390/rs14020348
	Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)
	Ouma, Yashon O.; Lottering, Lone; Tateishi, Ryutaro
通讯作者	Ouma, YO (corresponding author)，Univ Botswana, Dept Civil Engn, Private Bag UB, Gaborone 0061, Botswana.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:2
英文摘要	This study presents a remote sensing-based index for the prediction of soil erosion susceptibility within railway corridors. The empirically derived index, Normalized Difference Railway Erosivity Index (NDReLI), is based on the Landsat-8 SWIR spectral reflectances and takes into account the bare soil and vegetation reflectances especially in semi-arid environments. For the case study of the Botswana Railway Corridor (BRC), the NDReLI results are compared with the RUSLE and the Soil Degradation Index (SDI). The RUSLE model showed that within the BRC, the mean annual soil loss index was at 0.139 ton ha(-1) year(-1), and only about 1% of the corridor area is susceptible to high (1.423-3.053 ton ha(-1) year(-1)) and very high (3.053-5.854 ton ha(-1) year(-1)) soil loss, while SDI estimated 19.4% of the railway corridor as vulnerable to soil degradation. NDReLI results based on SWIR1 (1.57-1.65 mu m) predicted the most vulnerable areas, with a very high erosivity index (0.36-0.95), while SWIR2 (2.11-2.29 mu m) predicted the same regions at a high erosivity index (0.13-0.36). From empirical validation using previous soil erosion events within the BRC, the proposed NDReLI performed better than the RUSLE and SDI models in the prediction of the spatial locations and extents of susceptibility to soil erosion within the BRC.
英文关键词	railway corridors soil erosion prediction RUSLE soil loss index soil degradation index Normalized Difference Railway Erosivity Index (NDReLI) dry bare soil index
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:000747216900001
WOS关键词	GEOGRAPHIC INFORMATION-SYSTEM ; LAND DEGRADATION ; RAINFALL EROSIVITY ; LOSS EQUATION ; RISK ; IMPACTS ; COLOR
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/2XILL650/376777
作者单位	[Ouma, Yashon O.; Lottering, Lone] Univ Botswana, Dept Civil Engn, Private Bag UB, Gaborone 0061, Botswana; [Tateishi, Ryutaro] Chiba Univ, Ctr Environm Remote Sensing CEReS, 1-33 Yayoi, Chiba 2638522, Japan
推荐引用方式 GB/T 7714	Ouma, Yashon O.,Lottering, Lone,Tateishi, Ryutaro. Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)[J],2022,14(2).
APA	Ouma, Yashon O.,Lottering, Lone,&Tateishi, Ryutaro.(2022).Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI).REMOTE SENSING,14(2).
MLA	Ouma, Yashon O.,et al."Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)".REMOTE SENSING 14.2(2022).