文章摘要
张建国,鲁佳,蔡厚安,张远飞.高光谱遥感技术在大冶地区水环境监测中的应用[J].矿产勘查,2023,14(3):471-479
高光谱遥感技术在大冶地区水环境监测中的应用
Application of the hyperspectral remote sensing technology in water environment monitoring in Daye area
投稿时间:2022-07-06  
DOI:10.20008/j.kckc.202303012
中文关键词: 高光谱遥感  水质监测  光谱测试  富营养化  固体悬浮物
英文关键词: hyperspectral remote sensing  water quality monitoring  spectral test  eutrophication  suspended solid pollution
基金项目:本文受中国地质调查局地质调查项目“全国海陆矿产资源图件编制更新(DD20190368)”资助。
作者单位
张建国 有色金属矿产地质调查中心, 北京 100012 
鲁佳 有色金属矿产地质调查中心, 北京 100012 
蔡厚安 有色金属矿产地质调查中心, 北京 100012 
张远飞 有色金属矿产地质调查中心, 北京 100012 
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中文摘要:
      近年来,中国大量水体存在一定的水环境问题,但常规的地面调查方法在时效性和广度上存在局限,采用高光谱技术可以较好地解决这一问题。本文基于高分五号(GF-5)高光谱数据,结合典型水体光谱测试,开展了大冶地区的水体水质信息提取研究,建立了水体富营养化和固体悬浮物污染信息提取模型,开展了大冶地区的水体水质信息提取研究。经过现场验证及与生态环境局水质公报数据对比分析,认为该模型具有较高的可靠性和实用性,表明了直接由高光谱遥感数据监测水体水质的可能性,有效提高了水环境监测的时效性和广度,可以为环境监测部门在水质监测中提供技术支撑、为专业的水质监测传感器的研制提供参考和借鉴。
英文摘要:
      In recent years, some water environment problems occured many inland water bodies in China, but the conventional ground survey methods have limitations in timeliness and breadth, and the use of hyperspectral technology can better solve this problem. Based on the hyperspectral data of GF-5, combined with the spectral test of typical water bodies, this paper carried out the research on the extraction of water quality information in Daye area, established the information extraction model of water eutrophication and suspended solids pollution, and carried out the research on the extraction of water quality information in Daye area. After on-site verification and comparative analysis with the water quality bulletin data of the ecological environment bureau, it is considered that the model has high reliability and practicality, which shows the possibility of monitoring water quality directly from hyperspectral remote sensing data, effectively improving the timeliness and breadth of water environment monitoring, and providing technical support for environmental monitoring departments in water quality monitoring and reference for the development of professional water quality monitoring sensors.
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