遥感技术与FLUS模型支持下的高寒矿区土地利用变化及预测
Land Use Change and Prediction in High-cold Mining Areas Based on Remote Sensing and FLUS Model
舒德福1
作者信息
- 1. 西藏巨龙铜业有限公司 拉萨市 850000
- 折叠
摘要
为探索高寒地区露天矿的生态承载能力和生境脆弱性,该文采用随机森林分类方法对Sentinel-2遥感影像进行解析,并利用FLUS模型对西藏墨竹工卡县巨龙矿区2016、2022年的土地利用情况进行分析,并预测了 2028年的土地变化.结果显示:矿业活动对土地利用产生了显著影响,而在绿色采矿情景下的预测表明,通过合理规划和管理,可以减少生态影响并促进矿区生态恢复.为高寒地区土地利用规划和生态环境保护提供了重要参考.
Abstract
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.
关键词
高寒矿区/Sentinel-2/随机森林/FLUS模型Key words
high-cold mining area/Sentinel-2/random forest/FLUS model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据