Remote Sensing Inversion Of Water Eutrophication Based On GF-5

Freshwater resources are the source of human life,but with the development of society and people’s lack of water resources awareness,my country’s water environment pollution is very serious,so how to efficiently monitor and control water environmental pollution is particularly important.GF-5 is my country’s first high spectrum satellite for atmospheric and land,which can meet the needs of ecological environment monitoring in my country.This paper uses the relationship between the Chongqing Yutan Reservoir as the research object,analyzes the relationship between the water quality parameter data and the high-level image data,and constructs the remote sensing model of chlorophyll a,total phosphorus,total nitrogen;and use the above three water quality The parameter combined with eutrophic evaluation method evaluates and grades the degree of nutrientization of Yutan Reservoir.Its main research content and results are:(1)Analysis and determination of the sensitive band of eutrophicate parameters.The research area was carried out to measure the water quality parameter data and the spectral reflectance data for correlation analysis.The sensitivity band of chlorophyll A was: 433 nm,574 nm,685 nm,719 nm and 954 nm;total phosphorus sensitive bands were: 514 nm,531 nm,711 nm,813 nm And 835 nm;the sensitive bands of total nitrogen were: 407 nm,570 nm,762 nm and 877 nm.(2)The definition of the combination of the best wave bands rich in nutritious water quality parameters.The multi-band combination is performed by and,the difference,and the ratio is performed,and the optimal wave band combination form is found.The results show that the optimum combination of chlorophyll A is:(R(719)+ R(574))/ R(574);the best combination of total phosphorus is: R(835)/ R(531);total nitrogen The best combination is: R(407)+ R(570)+ R(762).(3)Construction and verification of inversion model.Article Application Regression Analysis The inversion model is used,and accurately verification using the measured water quality parameter data.Evaluate the inversion model in accordance with the decision coefficient of the fitting model and the measured value of the water quality parameter measured and the far root error of the remote sensing inversion predicted value.The results show that the decisions of chlorophyll A,total phosphorus,and total nitrogen fitting model are: 0.6844,0.6928,0.7214;chlorophyll A,total phosphorus,total nitrogen real value value and predicted value are: 7.86%,4.7,respectively.%,9.26%,and the above three models meet the needs of remote sensing monitoring of Yutan Reservoir.(4)The high-spectral inversion of the rich nutritional high spectroscopy in Yupan Reservoir in Chongqing.Combined with hierarchical analysis and integrated nutritional state index(AHP-TLI),eutrophicated evaluation of the water body,according to the score of 0-100,is a nutritious grading of the Yutian Reservoir.Using the evaluation results of the scoring method to verify the results of AHP-TLI evaluation,the results show that the AHP-TLI’s eutrophic evaluation method can objectively reflect the degree of eutrophication of the Yutan Reservoir.The results of the nutritional evaluation of Yutan Reservoir are medium nutrition,and the degree of eutrophication shows the characteristics of "Northeast,Southwest".The article combines GF-5 and consolidated water quality parameters,using correlation analysis to obtain water quality parameter sensitive band and optimal wavelength combination,using regression analysis method to construct the inversion model,design AHP-TLI method for eutrophic evaluation,complete jade The autrient inversion of the beach reservoir is a quantitative inversion,and the degree of spatial distribution of the rich nutrients is obtained.The results provide an important data support for the governance of the Yutan Reservoir Water Environment.