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  • 软件名称:高光谱遥感技术及其水利应用进展
  • 软件大小: 0.00 B
  • 软件评级: ★★★★★★
  • 开 发 商: 冯天时, 庞治国, 江威, 覃湘栋, 付俊娥
  • 软件来源: 《地球信息科学学报》
  • 解压密码:www.gissky.net

资源简介

摘要:

面向新时期水利行业“补短板”和“强监管”的应用需求,遥感的前沿技术高光谱遥感凭借较高的光谱分辨率和图谱合一等优势,在水生态、水环境等水利行业的应用中发挥了重要作用,同时在水灾害、水资源等层面中也存在着一定的应用潜力。本文介绍了高光谱遥感的成像原理,回顾了成像光谱仪的发展,列举了目前国内外典型的高光谱载荷。重点介绍了高光谱遥感在水利行业的应用进展,包括水华及水生植物监测、水华和水草精确区分、叶绿素浓度反演、悬浮物浓度和泥沙含量定量估算等具体工作。指出高光谱遥感在实时大范围洪涝灾害应急监测、陆表水文参数定量反演等工作存在一定的发展潜力。最后对高光谱遥感在水利行业的应用存在的瓶颈问题进行总结分析并提出展望:多平台高光谱水利要素立体监测与集成技术研发;水利典型地物要素标准波谱数据库构建;水利高光谱遥感信息智能挖掘的理论方法研究。为拓宽高光谱遥感在水利应用中的研究提供参考。

关键词: 高光谱遥感, 水利遥感, 光谱分辨率, 水环境, 水生态, 水质, 水灾害, 遥感反演

Abstract:

With the increasing application requirements of water conservancy industry in the new era, hyperspectral remote sensing has shown great potential in water ecology and water environment due to its unique advantages such as high spectral resolution and real time. It also has great potential in applications in water disaster and water resources. This paper introduces the principle of hyperspectral imaging, summarizes the development of hyperspectral payload at home and abroad, and focuses on the application of hyperspectral remote sensing to solve specific water problems, including monitoring of water bloom and aquatic plants, accurate discrimination of water bloom and water grass, inversion of chlorophyll concentration, quantitative estimation of suspended matter concentration and sediment content, real-time and large-scale flood disaster emergency monitoring, quantitative inversion of land surface hydrological parameters, estimation of evapotranspiration, and so on. In addition, the bottleneck problems in the application of hyperspectral remote sensing in water conservancy industry are summarized and analyzed. With the rapid development of hyperspectral imaging technology and increasing availability of hyperspectral data sources, the application of hyperspectral remote sensing in water conservancy will also enter a new stage. It is necessary to confront the needs of water conservancy industry at the new stage. We should enhance the research on multi-platform hyperspectral water conservancy elements stereoscopic monitoring and integration, construction of the standard spectrum database for typical feature elements in water conservancy, and new methods or new theories for water conservancy hyperspectral remote sensing information intelligent mining.

Key words: hyperspectral remote sensing, water conservancy remote sensing, spectral imager, water environment, water ecology, water quality, water disasters, remote sensing retrieval

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