سابِق|تال

Recent research progress on long time series and large scale optical remote sensing of inland water

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：zb@radi.ac.cn
  • Introduction：张兵,1969年生，男，研究员，研究方向为高光谱遥感技术与应用。E-mail: zb@radi.ac.cn
ZHANG Bing12,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

LI Junsheng13,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

SHEN Qian1,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

WU Yanhong13,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

ZHANG Fangfang1,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

WANG Shenglei1,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

YAO Yue1,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

GUO Linan12,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

YIN Ziyao12

ملخص

Inland water, including rivers, lakes and reservoirs on the earth’s surface, is the main component of water resources. It is related to human life, ecological environment construction and protection, and social and economic sustainable development. The temporal and spatial distribution and variation of inland water body and water quality triggered by climate change and human activities have caused attention of scientists and governments all around the world. Compared with conventional field sampling monitoring methods, remote sensing monitoring has the advantages of long time series and large-scale coverage. There are series of optical remote sensing satellites which mainly based on visible/near-infrared bands and have a long history. In addition to monitor water surface information, they can also obtain water substances information within water. Therefore, optical remote sensing plays a particularly important role in inland water environment monitoring. Compared with the ocean water with simple optical properties, the optical properties of inland water body are more complex and vary greatly with region and season. Moreover, there is a lack of satellite specially designed for inland water, so the water color remote sensing of inland water is more difficult. However, due to the promotion of ocean color remote sensing theory and methods, as well as the continuous accumulation of inland water optical property data, the research of optical remote sensing of inland water has made great progress in recent years. It has developed from the experimental research of typical algorithms in typical study areas to the production of long time series and large-scale water products, and from the scientific research of water color remote sensing algorithm to the geological discovery of spatio-temporal variation of inland water body parameters and finally to provide enhanced decision support to water environment supervision sectors. In particular, important progress has been made in water distribution extraction, atmospheric correction for water body, chlorophyll-a concentration inversion, water color monitoring, water clarity inversion, trophic state evaluation, black and odorous water monitoring, lake ice monitoring, etc., and some water color remote sensing products for long time series and large-scale inland water bodies have been produced. In the future, in order to further improve the application of optical remote sensing of inland water, it is necessary to further strengthen the acquisition and analysis of optical property data from different types of inland water, and also improve the water color remote sensing algorithms for long time series and large-scale inland water. In addition, to solve the problem of the lack of useful satellite data source, it is necessary to launch satellite constellation specially designed for inland water monitoring, or to consider the needs for inland water monitoring in the sensor design in general land satellite constellation.

مفهوم

inland water;water color remote sensing;long time series;large-scale;optical remote sensing

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