摘要
使用多期、多源遥感影像数据,选择青海省木里煤矿区开展了荒漠化遥感监测及变化趋势与采矿相关性分析研究。根据多期高分辨率遥感影像提取了矿业活动区信息。采用多期TM遥感影像,分别利用光谱混合像元分解和生物量遥感估算模型方法,提取了多期土地荒漠化信息。对采矿扰动下荒漠化驱动因素分析结果表明:矿业活动区内开采面、矿山占地增长驱动了荒漠化,矿山关停、复绿治理则扼制并减轻了荒漠化;矿业活动区外荒漠化主要受人类活动、道路修建、保护治理政策等因素影响。根据研究结果,提出了矿区荒漠化防治对策。
Using multiperiod and multi-source remote sensing image data,choosing Muli coal mine area in Qinghai Province,carried out analysis and research on the correlation between remote sensing monitoring of land desertification,change tendency and mining. With these high resolution images,extracting information from mining area. Extracted multiperiod land desertification information from multiperiod TM remote sensing image,respectively by spectral decomposition of mixed pixels and biomass remote sensing estimation model.The analysis results showed that: the growth of mining area and mine area in the mining area drive desertification,the mine shut down and re green governance,control and reduce desertification; influence of mining activities outside the area of desertification is mainly affected by the mining activities,road construction and maintenance management policies and other factors. According to the results of the study, the countermeasures for prevention and control of desertification in mining area are put forward.
出处
《中国地质灾害与防治学报》
CSCD
2018年第1期78-84,共7页
The Chinese Journal of Geological Hazard and Control
基金
中国地质调查局地质调查项目:全国矿产资源开发环境遥感监测(121201203000160009)
四川省矿产资源开发环境遥感监测(12120115061801)
关键词
土地荒漠化
矿业活动区
光谱混合像元分解
生物量遥感估算
遥感监测
land desertification
mining area
spectral decomposition of mixed pixels
biomass remote sensingestimation
remote sensing monitoring