Author(s)

Yanan Zuo ¹, Min Ji ¹, Jiahui Lin ¹

Affiliation(s)

¹ Shandong University of Science and Technology

Corresponding Author

Yanan Zuo

ABSTRACT

Taking the results of Taihu Lake, using the relationship between water spectral characteristics and the mathematical model and quantitative remote sensing technology, we realize the high frequency, large-range and quasi-real time monitoring to improve the pollution and protect the natural environment.

KEYWORDS

Taihu Lake, chlorophyll, inversion; monitoring, remote sensing, indicators

CITE THIS PAPER

Yanan Zuo, Min Ji, Jiahui Lin. Remote Sensing Monitoring of Taihu Lake Based on Small Environment Satellite. Geoscience and Remote Sensing (2021) Vol. 4: 7-20. DOI: http://dx.doi.org/10.23977/geors.2021.040102

REFERENCES

[1] Wish Ling ya. Research on remote sensing monitoring and evaluation methods of lake water quality [D]. Beijing: Graduate School of Chinese Academy of Sciences, 2006: 1-2. 2
[2] Cao Cao. Technology and application of remote sensing monitoring of grass lakes [D]. Shanghai: Donghua University, 2016: 5-7th,
[3] Zhang Xiaobin. Study on the chlorophyll-a concentration inversion model in Chaohu Water Based on High Spectral Remote Sensing [D]. Anhui: Anhui Institute of Construction Industry, 2012: 9-10.
[4] Guo Xiaomeng. Study on Lake Water Quality Pollution Based on Hyperspectral Remote sensing [D]. Shandong: Shandong Normal University, 2013: 16-17:
[5] Jia Chunyan. Research on Dynamic Monitoring of Lake chlorophyll a and Improving Space Drawing Based on Remote Sensing Technology [D]. Zhejiang: Zhejiang University, 2008: 20-21.
[6] Zhou Weiqi. Methods and technology of remote sensing of inland water quality [D]. Beijing: Graduate School of Chinese Academy of Sciences, 2003: 26-27:
[7] Wang Haiyang. Water Quality Monitoring and Evaluation of Nansi Lake Based on Remote Sensing [D]. Shandong: Qingdao University of Technology. 2008:32-33.
[8] Xu Huijuan. Study on water quality evaluation indexes based on remote sensing data [D]. Hubei Province: Huazhong University of Science and Technology. 2007:36-38.
[9] Richardson L L. Remote sensing of Algal Bloom Dynamics [J]. BioScience, 1996, (7): 492-501
[10] Carpenter D J, Carpenter S M. Modeling Island Water Quality Using Landsat Data. Remote sensing of Environment [J]. 1983, (13): 345-352.
[11] Bukata R P, Bruton J E. Use of chromaticity in Remote Measurements of Water Quality [J]. Remote sensing of Environment, 1983, (13): 161-177.

Sponsors, Associates, and Links

---

• International Journal of Geological Resources and Geological Engineering
  
  
• Big Geospatial Data and Data Science
  
  
• Solid Earth and Space Physics
  
  
• Environment and Climate Protection
  
  
• Journal of Cartography and Geographic Information Systems
  
  
• Environment, Resource and Ecology Journal
  
  
• Offshore and Polar Engineering
  
  
• Physical and Human Geography
  
  
• Journal of Atmospheric Physics and Atmospheric Environment
  
  
• Trends in Meteorology
  
  
• Journal of Coastal Engineering Research
  
  
• Focus on Plant Protection
  
  
• Toxicology and Health of Environment
  
  
• Advances in Physical Oceanography
  
  
• Biology, Chemistry, and Geology in Marine
  
  
• Water-Soil, Biological Environment and Energy
  
  
• Geodesy and Geophysics
  
  
• Journal of Structural and Quaternary Geology
  
  
• Journal of Sedimentary Geology
  
  
• International Journal of Polar Social Research and Review