The Algal Blooms Prediction in the Lakes Based on Remote Sensing Information

Abstract:

The eutrophication phenomenon for lake in our country is obvious. Algal blooms have become one of the major environmental issues in the lake. In view of the traditional single point monitoring and analysis limitations, this paper proposes a bloom prediction model based on remote sensing information. Different light wavelengths has different sensitivity of chlorophyll, so extracting the reflectance values to the chlorophyll-sensitive band from satellite remote sensing information, Building water green index information and corresponding to chlorophyll values of lake-sites monitoring area by latitude and longitude geographic information , thereby build a predictive model of algal bloom based on a remote sensing, realize effective prediction of algae bloom in Taihu lake for coastal ,open ocean water and lake reservoir bloom prediction gives an idea.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 500-505
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.500
• Online since: February 2014
• Authors: Xin Yu Ma, Ji Ping Xu*, Xiao Yi Wang, Qing Wei Zhu, Yan Shi, Li Wang, Hui Yan Zhang
• Keywords: Algal Blooms, Prediction, Remote Sensing

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