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 

机构地区：[1]Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China [2]College of Geography and Planning,Chengdu University of Technology,Chengdu 610059,China [3]Tibet Geological Environment Monitoring Center,Lhasa 850000,China [4]School of Computer Science,Chengdu University of Information Technology,Chengdu 610225,China [5]Sichuan Real Estate Registration Center(Sichuan Provincial Land and Cadastral Affairs Center),Chengdu 610072,China

出　　处：《Journal of Mountain Science》2025年第2期556-574,共19页山地科学学报(英文)

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)。

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 grasslands.This 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 parameters.Employing a multivariate linear approach combined with Principal Component Analysis(PCA),a model for inferring gravel characteristic parameters is constructed.Statistical features,particle size characteristics,and spatial distribution patterns of gravel are analyzed.Results reveal that gravel predominantly exhibit sub-rounded shapes,with 80%classified as fine gravel.The coefficients of determination(R2)between gravel particle size and coverage,perimeter,and area are 0.444,0.724,and 0.557,respectively,indicating linear relationships.The 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 used.Modeling shows that areas with larger gravel particle sizes correspond to increased perimeter and coverage.Gravels 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.

关 键 词：Gravel characteristics parameters Northern Tibetan Plateau Gravel outline extraction Remote sensing inversion Grassland degradation 

分 类 号：X87[环境科学与工程—环境工程] X171.4