Extraction of gravel characteristics and spatial inversion for ecological restoration monitoring in the Northern Tibetan Plateau

作     者：KONG Bo YU Huan QIU Xia HU Wenkai HE Bing GUAN Xudong KONG Bo;YU Huan;QIU Xia;HU Wenkai;HE Bing;GUAN Xudong

作者机构：Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China College of Geography and PlanningChengdu University of TechnologyChengdu 610059China Tibet Geological Environment Monitoring CenterLhasa 850000China School of Computer ScienceChengdu University of Information TechnologyChengdu 610225China Sichuan Real Estate Registration Center(Sichuan Provincial Land and Cadastral Affairs Center)Chengdu 610072China 

出 版 物：《Journal of Mountain Science》 (山地科学学报(英文))

年 卷 期：2025年第22卷第2期

页      面：556-574页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

基　　金：funded by the Major R&D and Achievement Transformation Projects of Xizang(CGZH2024000416) Science and Technology Program of Xizang(XZ202402ZD0001) Major R&D and Achievement Transformation Projects of Qinghai(2022-QY-224) 

主　　题：Gravel characteristics parameters Northern Tibetan Plateau Gravel outline extraction Remote sensing inversion Grassland degradation 

摘      要：Previous studies have often focused on monitoring grassland growth as the primary target of remote sensing investigations on grassland ecological restoration in the northern Tibetan Plateau,overlooking the crucial role played by gravel in the ecological restoration of these *** study utilizes supervised classification and segmentation techniques based on machine learning to extract gravel morphology profiles from field-sampled plot images and calculate their characteristic *** a multivariate linear approach combined with Principal Component Analysis(PCA),a model for inferring gravel characteristic parameters is *** features,particle size characteristics,and spatial distribution patterns of gravel are *** reveal that gravel predominantly exhibit sub-rounded shapes,with 80%classified as fine *** coefficients of determination(R2)between gravel particle size and coverage,perimeter,and area are 0.444,0.724,and 0.557,respectively,indicating linear *** cumulative contribution rate of the top five remote sensing factors is 95.44%,with the first geological factor contributing 77.64%,collectively reflecting the primary information of the 20 factors *** shows that areas with larger gravel particle sizes correspond to increased perimeter and *** in the Nagqu Prefecture of northern Tibet have a particle size range of 4-8 mm,primarily comprising fine gravel which accounts for 94.61%.These findings provide a scientific basis for extracting gravel characteristic parameters and understanding their spatial distribution variations in the northern Tibetan Plateau.