基于 GRNDVI 的某矿区近 10
a 植被修复状况
监测与评价

金属矿山 ›› 2025, Vol. 54 ›› Issue (6): 250-257.

基于 GRNDVI 的某矿区近 10 a 植被修复状况监测与评价

万　一¹　肖　让²　黎　明²　佘佐明³

1. 武汉大学遥感信息工程学院,湖北武汉 430072;2. 贵州图智信息技术有限公司,贵州贵阳 550000; 3. 贵阳市测绘院,贵州贵阳 550081

出版日期:2025-06-15 发布日期:2025-07-09
通讯作者: 肖　让(1982—),男,高级工程师,硕士。
作者简介:万　一(1991—),男,副研究员,博士。
基金资助:
贵州省重大科技专项(编号:黔科合重大专项[2022]001)。

Monitoring and Evaluation of Vegetation Restoration Status in a Mining Area in in the Past 10 Years Based on GRNDVI

WAN Yi ¹ 　 XIAO Rang ²　 LI Ming ²　 SHE Zuoming³

1. School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430072,China;2. Guizhou Tuzhi Information Technology Co. ,Ltd. ,Guiyang 550000,China;3. Guiyang Surveying and Mapping Institute,Guiyang 550081,China

Online:2025-06-15 Published:2025-07-09

摘要/Abstract

摘要： 在对矿山进行生态修复的同时,为了快速且准确地获取修复植被生长状况,进而掌握生态修复的变化规律,为后续矿区资源开采和生态环境保护提供参考依据,对生态修复状况进行监测与评价至关重要。归一化植被指数(Normalized Differential Vegetation Index,NDVI)是遥感监测中使用最广泛的植被指数,但 NDVI 具有土壤背景和饱和问题等内在固有缺陷,会导致在低(高)植被覆盖度情况下 NDVI 被放大(缩小)现象。基于此,以山西省某矿区为例,基于 2014—2023 年的 Landsat 和 GF 系列遥感数据,使用准确率更高的生长根归一化差分植被指数(Growth Root Normalized Differential Vegetation Index,GRNDVI)对研究区采矿前及采矿中的植被修复状况进行了监测与评价。结果表明:2014—2023 年,研究区内裸地面积不断增加,研究区处于边开采、边修复的状态,在植被修复作用下,研究区内的植被由低等植被占主导地位转变为中等植被占主导地位。线性回归分析得到年度生长根归一化差分植被指数的变化斜率为 0. 022,说明这 10 a 中研究区植被长势整体呈缓慢变好趋势,区内修复植被的综合恢复效果介于较低修复效果和中等修复效果之间,但仍有 8. 434 km 2 的植被呈负增长趋势。该研究结果对于了解矿山植被修复情况并因地制宜制定开采方案、平衡开采与环境可持续发展具有重要意义。

关键词: 遥感监测　, 植被长势　, 趋势分析, 　生态评价

Abstract: In order to quickly and accurately obtain the growth status of the restored vegetation,and then grasp the change law of ecological restoration,and provide reference for the subsequent resource exploitation and ecological environmental protection of the mine,it is very important to monitor and evaluate the ecological restoration status. The normalized differential vegetation index (NDVI) is the most widely used vegetation index in remote sensing monitoring,but NDVI has inherent defects such as soil background and saturation problems,which will lead to the phenomenon of NDVI being amplified (reduced) in the case of low (high) vegetation coverage. Based on the Landsat and GF series remote sensing data from 2014 to 2023,this paper takes a mining area in Shanxi Province as the study example,and uses the growth root normalized differential vegetation index with higher accuracy index (GRNDVI) monitored and evaluated the vegetation restoration status before and during mining in the study area,and the results showed that from 2014 to 2023,the area of bare land in the study area was increasing,and the vegetation in the study area was in a state of mining and restoration,and the vegetation in the study area changed from the dominance of low vegetation to the dominance of medium vegetation under the effect of vegetation restoration. Linear regression analysis showed that the slope of the annual root normalized differential vegetation index was 0. 022,indicating that the vegetation growth in the study area showed a slow improvement trend in the past 10 years,and the comprehensive restoration effect of the restored vegetation in the study area was between low and medium restoration effects,but there was still a negative growth trend of 8. 434 km 2 of vegetation. The results of this study are of great significance for understanding the restoration of mine vegetation and formulating mining plans according to local conditions,balancing mining and environmental sustainable development.

Key words: remote sensing monitoring,vegetation growth,trend analysis,ecological assessment

中图分类号:

TD88

万　一, 肖　让, 黎　明, 佘佐明. 基于 GRNDVI 的某矿区近 10 a 植被修复状况监测与评价 [J]. 金属矿山, 2025, 54(6): 250-257.

WAN Yi , XIAO Rang, LI Ming , SHE Zuoming . Monitoring and Evaluation of Vegetation Restoration Status in a Mining Area in in the Past 10 Years Based on GRNDVI [J]. Metal Mine, 2025, 54(6): 250-257.

[1]	刘虎, 姜岳 , 夏明宇 , 高均海 , 姜岩 . 基于 30年遥感监测的矿区生态环境变化——以南四湖周边矿区为例[J]. 金属矿山, 2021, 50(04): 197-206.
[2]	郭玉斌, 高牧寒, 杨义炜. 山西省矿山环境恢复治理年度监测与分析[J]. 金属矿山, 2020, 49(08): 204-208.

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