| 引用本文: | XIE Ya, LI Jun-sheng, LI Jing-yi, ZHANG Fang-fang, SHEN Qian.Progress and Prospect of Optical Remote Sensing Monitoring of Aquatic Vegetation in Lakes and Reservoirs[J].Environmental Monitoring and Forewarning,2019,11(5):52~58 |
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| 摘要: |
| 水生植被在湖库生态系统中发挥稳定沉积物、净化水质、平衡水生生态系统等作用，监测水生植被变化对湖库生态环境的监测具有重要意义。梳理了国内外利用高光谱、多光谱光学卫星遥感数据提取湖库水生植被的方法，尤其是针对其中涉及的阈值确定问题进行总结分析，介绍了典型研究区水生植被时空分布和变化以及与水质的关系，最后给出一些水生植被遥感监测的展望。 |
| 关键词: 水生植被 遥感 分类 阈值 |
| DOI： |
| 分类号:X87 |
| 文献标识码:A |
| 基金项目:国家重点研发计划基金资助项目（2017YFC0405804） |
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| Progress and Prospect of Optical Remote Sensing Monitoring of Aquatic Vegetation in Lakes and Reservoirs |
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XIE Ya, LI Jun-sheng, LI Jing-yi, ZHANG Fang-fang, SHEN Qian1,2
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1. State Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;2. Baoji University of Arts and Sciences，Baoji，Shanxi 721013，China
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| Abstract: |
| Aquatic vegetation plays an important role in stabilizing sediment, purifying water quality and balancing aquatic ecosystem in lake and reservoir ecosystem. Monitoring the change of aquatic vegetation is of great significance to the monitoring of lake and reservoir ecosystem. In this paper, the methods of extracting aquatic vegetation from hyperspectral and multispectral optical satellite remote sensing data at home and abroad are summarized and analyzed, especially for the determination of threshold involved. The spatial and temporal distribution and change of aquatic vegetation in typical research areas and their relationship with water quality are introduced. Finally, some prospects for remote sensing monitoring of aquatic vegetation are given. |
| Key words: Aquatic vegetation Remote sensing Classification Threshold |
