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Research on Estimating the Concentrations of Chlorophyll-a in Chaohu Lake Using FY-1C/CAVHRR Data

Wang Yu-lan

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Abstract

By the use of the meteorological satellite FY-1C/CAVHRR data .estimated are the concentrations of chlorophyll-a in Chaohu Lake. A remote sensing estimating model is proposed by analyzing the correlation of the FY-1C/CAVHRR channel data for watercolor monitoring and synchronal field survey for chlorophyll-a concentrations. The result indicates that meteorological satellite FY-1C can be used to monitor concentrations of chlorophyll-a in large lakes as a kind of important assistant means of routine water quality sampling survey with its advantages of time and spatial resolution.

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What this paper is about

By the use of the meteorological satellite FY-1C/CAVHRR data .estimated are the concentrations of chlorophyll-a in Chaohu Lake. A remote sensing estimating model is proposed by analyzing the correlation of the FY-1C/CAVHRR channel data for watercolor monitoring and synchronal field survey for chlorophyll-a concentrations. The result indicates that meteorological satellite FY-1C can be used to monitor concentrations of chlorophyll-a in large lakes as a kind of important assistant means of routine water quality sampling survey with its advantages of time and spatial resolution.

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Available abstract

By the use of the meteorological satellite FY-1C/CAVHRR data .estimated are the concentrations of chlorophyll-a in Chaohu Lake. A remote sensing estimating model is proposed by analyzing the correlation of the FY-1C/CAVHRR channel data for watercolor monitoring and synchronal field survey for chlorophyll-a concentrations. The result indicates that meteorological satellite FY-1C can be used to monitor concentrations of chlorophyll-a in large lakes as a kind of important assistant means of routine water quality sampling survey with its advantages of time and spatial resolution.

Key concepts: Environmental science, Sampling (signal processing), Chlorophyll a, Satellite, Channel (broadcasting), Remote sensing, Chlorophyll, Meteorology

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