Remote sensing water quality inversion method combining differential learning rate and spectrum geometrical characteristics

Abstract

The invention discloses a remote sensing water quality inversion method combining a differential learning rate and spectral geometric characteristics, which comprises the following steps: collecting satellite images of each site, and obtaining remote sensing reflectivity of each site; exporting surface water monitoring station information and water quality index information data from a surface water database; removing obviously abnormal site remote sensing reflectivity, and constructing a remote sensing reflectivity curve set; removing water quality index abnormal values; calculating spectral geometric feature data through the remote sensing reflectivity curve of each site, merging the feature data into a feature matrix, and dividing the feature matrix into a training set and a test set; taking the water quality indexes after the abnormal values of the water quality indexes are removed as a to-be-fitted data set, combining the to-be-fitted data set into an output set, and dividing the output set into a training output set and a test output set; constructing a machine learning model, and inputting the training set into the model for training to obtain a trained model; and putting a test set into the trained model for testing, and after evaluation, carrying out online deployment on the optimal model.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring of water environment, in particular to a remote sensing water quality inversion method combining differential learning rate and spectral geometric characteristics. Background technique [0002] With the rapid development of industry and agriculture and the continuous acceleration of urbanization, my country's total water consumption has increased significantly, and wastewater discharge has also increased significantly, bringing a heavy burden to the self-purification process of surface water, especially in urban inland rivers. Economic development, urban environmental landscape and human health have all had serious impacts. [0003] In recent years, more and more attention has been paid to the monitoring and management of inland water bodies. Monitoring of lakes and rivers not only helps us better understand the impact of environmental changes on freshwater ecosystems, but also p...

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