| 矿区生态环境定量遥感监测评价技术框架与应用 |
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| 作者姓名： | 李军 彭苏萍 张成业 杨飞 桑潇 |
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| 作者单位： | 1.煤炭资源与安全开采国家重点实验室，北京 100083 |
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| 基金项目： | 国家自然科学基金41901291煤炭资源与安全开采国家重点实验室开放基金SKLCRSM21KFA08煤炭资源与安全开采国家重点实验室开放基金SKLCRSM19KFA04 |
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| 摘 要： | 为了践行“绿水青山就是金山银山”的发展理念，平衡矿产开发与生态环境保护，迫切需要对矿区生态环境开展动态监测并进行科学评价。本文立足于矿区生态环境场景的特点，在剖析矿区生态环境要素的时空变化特征及其差异性、矿区开采修复活动对生态环境要素影响机制及各要素协同演变规律基础上，为满足新时期矿区生态环境监测与评价的要求，构建了矿区生态环境定量遥感监测与评价的“数据-监测-评价-应用”技术框架。该框架充分利用以遥感影像数据为主体的矿区多源大数据，发挥人工智能与定量遥感等技术手段的优势，以高频次、大面积、长时间、多要素协同、定量反演的方式对矿区生态环境要素进行监测和质量评价，可应用于矿区开采活动监测、矿区生态环境诊断、预警和修复效果评估等方面。最后，介绍了技术框架的两个应用实例，展示了该技术框架的有效性与应用方式。
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| 关 键 词： | 矿区生态环境 遥感监测 生态质量评价 定量遥感 人工智能 |
| 收稿时间： | 2021-02-23 |
Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application |
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| Affiliation: | 1.State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China2.College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China |
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| Abstract: | To practice the development concept of "lucid waters and lush mountains are invaluable assets", and balance mineral development and ecological environment protection, it is urgent to carry out dynamic monitoring and scientific evaluation of the ecological environment in mining areas.Based on the characteristics of the ecological environment in mining areas, this paper analyzes the temporal and spatial change characteristics and differences of the ecological environment elements in the mining area, the impact mechanism of the mining and restoration activities on the ecological environment elements, and the cooperative evolution law of each element.Guided by the requirements on ecological environment monitoring and evaluation in mining areas in the new era, a technology framework for quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas is proposed from the perspective of 'data-monitoring-evaluation-application'.The framework makes full use of multi-source big data in mining areas with remote sensing images as the main body and takes advantage of the emerging technologies such as artificial intelligence and quantitative remote sensing.This research archives quantitative monitoring and evaluation of the ecological environment elements in the mining areas with the features of high frequency, large-extent, long-term, continuous, all-factor observation and quantitative inversion, which can support the operational applications including mining activity monitoring, ecological environment diagnosis and early warning and restoration effect evaluation in mining areas.Finally, two real-world cases are introduced to illustrate the effectiveness and application flow of the proposed framework. |
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