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Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection

Journal of Mountain Science 2020年第12期17卷 3024-3038页

作者： DAI Wen HU Guang-hui YANG Xin YANG Xian-wu CHENG Yi-han XIONG Li-yang STROBL Josef TANG Guo-an Key Laboratory of Virtual Geographic Environment(Nanjing Normal University) Ministry o f EducationNanjing 210023China Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution Xinyang Normal UniversityXinyang 464000China School of Geography Nanjing Normal UniversityNanjing 210023China Jiangsu Center fo r(Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Department of Geoinformatics-Z_GIS University of SalzburgSalzburg 5020Austria

ephemeral gullies,which are widely developed worldwide and threaten farmlands,have aroused a growing *** and mapping gullies are generally considered prerequisites of gully erosion ***,ephemeral gully mapping remains a *** this study,we proposed a flow-directional detection for identifying ephemeral gullies from high-resolution images and digital elevation models(DEMs).ephemeral gullies exhibit clear linear features in high-resolution *** edge detection operator was initially used to identify linear features from high-resolution ***,according to gully erosion mechanism,the flow-directional detection was *** images obtained from edge detection and flow directions obtained from DEMs were used to implement the flow-directional detection that detects ephemeral gullies along the flow *** from ten study areas in the Loess Plateau of China showed that ranges of precision,recall,and Fmeasure are 6 o.66%-90.47%,65.74%-94.98%,and63.10%-91.93%,*** proposed method is flexible and can be used with various images and ***,analysis of the effect of DEM resolution and accuracy showed that DEM resolution only demonstrates a minor effect on the detection ***,DEM accuracy influences the detection result and is more important than the DEM *** worse the vertical accuracy of DEM,the lower the performance of the flow-directional detection will *** work is beneficial to research related to monitoring gully erosion and assessing soil loss.

关键词： ephemeral gully mapping Edge detection Flow direction gully erosion Google Earth image ASTER GDEM

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