干旱区生态环境知识资源中心(Arid): Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches

Arid

DOI	10.1080/10106049.2022.2127925
	Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches
	Saha, Asish; Pal, Subodh Chandra; Chowdhuri, Indrajit; Islam, Abu Reza Md. Towfiqul; Chakrabortty, Rabin; Roy, Paramita
通讯作者	Pal, SC
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2022
卷号	37 期号:27 页码:17307-17339
英文摘要	Soil erosion-induced land degradation is susceptible to climate change, specifically in the sub-tropical third world countries. Simulations of 21st century climate change in India predict notable variation in rainfall that causes soil erosion-induced land degradation. Land degradation susceptibility modelling of the red and lateritic agro-climatic zone of Bengal (Eastern India) has been prepared using random forest (RF), support vector machine (SVM) and extreme gradient boost (XGBoost) algorithms. Assessment of models using validation data in AUC-ROC revealed that XGBoost (0.909 and r = 0.91) is the most optimal followed by SVM (0.881 and r = 0.87) and RF (0.879 and r = 0.85). Furthermore, future land degradation risk dynamics were assessed through Coupled Model Intercomparison Project six (CMIP6) down-scale-based ensembles of nine global climate models (GCMs) on four SSPs scenarios. The combination of deep learning along with climate modelling should be useful to enhance the result more precisely.
英文关键词	Land degradation agro-climatic zone XGBoost CMIP6 SSPs
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000865383800001
WOS关键词	SUPPORT VECTOR MACHINE ; LAND DEGRADATION ; CLIMATE-CHANGE ; GULLY EROSION ; LOGISTIC-REGRESSION ; RANDOM FOREST ; SUSCEPTIBILITY ; DESERTIFICATION ; PREDICTION ; SVM
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/2XILL650/392900
推荐引用方式 GB/T 7714	Saha, Asish,Pal, Subodh Chandra,Chowdhuri, Indrajit,et al. Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches[J],2022,37(27):17307-17339.
APA	Saha, Asish,Pal, Subodh Chandra,Chowdhuri, Indrajit,Islam, Abu Reza Md. Towfiqul,Chakrabortty, Rabin,&Roy, Paramita.(2022).Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches.GEOCARTO INTERNATIONAL,37(27),17307-17339.
MLA	Saha, Asish,et al."Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches".GEOCARTO INTERNATIONAL 37.27(2022):17307-17339.