摘要
以中梁山片区为实验区,利用landsat8数据对2012-2021年露天矿山植被指数进行变化分析,利用高分数据进行2017-2021年短时间序列变化分析,并对2种遥感数据计算的植被指数进行关联性研究,以期为未来露天矿山修复的监管提供技术支撑。结果表明Landsat8数据与高分数据对矿山植被指数变化趋势反映基本一致,在2017年呈现波谷,随后逐渐变好;高分数据由于分辨率较高,对于植被指数高值区域和低值区域较为敏感,能够更好地反映植被生长初期状况,Landsat8数据则将植被指数进行了平均而中间值较多;两者计算的植被指数具有较好的线性相关性,决定系数为0.739 3,但总体上表现为低值和高值区相关性好,中间部分相关性略差。
Taking Zhongliangshan Area as a study area,we used Landsat8 data to analyze the changes of vegetation index in open-pit mines from 2012 to 2021,used high-resolution data to analyze the changes of short time series from 2017 to 2021,and studied the correlation of vegetation indexes calculated from two remote sensing data.The research could provide technical support for restoration and management process of open-pit mines in the future.The results show that the NDVI obtained by Landsat8 data and the high-resolution data have basically the same re-sponse to the vegetation change trend of open-pit mines,which shows a trough in 2017,and then gradually increased.The NDVI calculated from high-resolution data gets a higher resolution for the high-value and low-value areas of the vegetation which is more sensitive and can better re-flect on the initial stage of vegetation growth.The Landsat8 data averaged the vegetation index and had a larger intermediate value.The NDVI calculated by the two kinds of data represent a good linear correlation with a coefficient of 0.7393,but the low-value and high-value areas have a good correlation,and the middle part has a slightly poorer correlation.
作者
吴凤敏
郑稚棚
余静
梁星
张灵犀
杨光谱
余洋
赵珍妮
WU Fengmin;ZHENG Zhipeng;YU Jing;LIANG Xing;ZHANG Lingxi;YANG Guangpu;YU Yang;ZHAO Zhenni(Chongqing Geomatics and Remote Sensing Center,Chongqing 401147,China)
出处
《地理空间信息》
2022年第8期18-23,共6页
Geospatial Information
基金
重庆市科技局项目(cstc2019jscx-gksbX0042)
重庆市规划和自然资源局项目(KJ-2020001)
