基于时间序列遥感数据分析的典型钼矿区土地退化评价  

Evaluation of Land Degradation in Typical Molybdenite Mining Areas based on Time Series Remote Sensing Data Analysis

作　　者：杨耘[1] 柏晗 康重阳 江万成 黄富强 YANG Yun;BAI Han;KANG Chongyang;JIANG Wancheng;HUANG Fuqiang(College of Geology Engineering and Surveying,Chang'an University,Xi'an 710054,China;Urban Planning Survey and Design Institute,Guangzhou 510060,China;Shaanxi Jinduicheng Molybdenum Industry Group Co.,Ltd,Weinan 714100,China)

机构地区：[1]长安大学地质工程与测绘学院,陕西西安710054 [2]广州市城市规划勘测设计研究院,广州510060 [3]陕西金堆城钼业集团有限公司,陕西渭南714100

出　　处：《徐州工程学院学报（自然科学版）》2020年第4期60-66,共7页Journal of Xuzhou Institute of Technology(Natural Sciences Edition)

基　　金：国家重点研发计划(2018YFC1504805,2019YFC1509201);中央高校基本科研业务费(300102269205,300102269304)。

摘　　要：针对钼矿区土地退化状况的监测与评价难题,以中国典型钼矿区——陕西金堆城钼矿区为研究区,选取采用2013年、2015年、2017年3期Landsat多光谱卫星影像为数据源,提出采用时间序列遥感数据的特征分析方法,提取反映植被和土壤质量的5种影响因子,即比值植被指数(RVI)、归一化植被指数(NDVI)、土壤亮度指数(SBI)、土壤含水率(SM)和土壤调整植被指数(SAVI);引入基于权重分析的层次分析法对中国典型钼矿区土地退化情况进行评价与分析.结果表明:矿区采矿场土地退化情况最为严重,并且退化情况逐年增加,2013年退化情况最轻,但随着矿区的开采,周边植被遭到破坏,土地退化状况加剧.近年随着国家对秦岭众多矿区生态环境恢复及治理的重视,矿区生态环境破坏情况有所好转,部分区域(如废渣堆放区)已进行了绿化,进而验证了利用该文方法进行矿区的土地退化状况评价结果是有效的,与实际情况一致.To monitor and evaluate the land degradation in molybdenum mining area,this paper takes China's typical molybdenum mining area-Shaanxi Jinduicheng molybdenum mining area as the research area,and adopts Landsat multispectral satellite images in 2013,2015 and 2017 as data sources.Using the analytic hierarchy process based on weight analysis,a feature analysis method with time series remote sensing data is proposed to extract five influencing factors reflecting vegetation and soil quality:Ratio Vegetation Index(RVI),Normalized Vegetation Index(NDVI),Soil Brightness Index(SBI),Soil Moisture Content(SM)and Soil Adjusted Vegetation Index(SAVI).The results showed that the land degradation in mining area is seriously increased yearly,except for 2013,with surrounding vegetation destroyed and land degradation aggravated.In recent years,as the country attaches great importance to the restoration and management of the ecological environment in many mining areas in the Qinling Mountains,the ecological environment has improved,and some areas(such as waste residue stacking areas)have been afforested.This verifies that the proposed method is effective in land degradation evaluation and is consistent with the actual situation.

关 键 词：多光谱遥感 土地退化评价 层次分析法 金堆城钼矿区 

分 类 号：O625.67[理学—有机化学]