Land Use Change and Prediction in High-cold Mining Areas Based on Remote Sensing and FLUS Model
This study explores the ecological carrying capacity and habitat fragility of open-pit mines in high-cold areas.Focusing on the Julong mining area in Mozhugongka County,Tibet,this research utilizes random forest classification algorithm to interpret Sentinel-2 remote sensing image and assess land use for 2016 and 2022 as well as change projections for land use for 2028 by using the FLUS model.The results reveal that mining activities have a significant impact on land use,however,while predictions under a green mining scenario indicate that with proper planning and management,ecological impacts can be mit-igated,and ecological restoration of the mining area can be promoted.This study provides essential refer-ence for land use planning and environmental protection in high-cold area.
high-cold mining areaSentinel-2random forestFLUS model
NETL
NSTL
万方数据
