Method for establishing regional ocean bottom temperature thermal infrared remote sensing monitoring and forecasting model

Abstract

The invention discloses a method for establishing a regional ocean bottom temperature thermal infrared remote sensing monitoring and forecasting model, which comprises the following steps: acquiring actually measured seabed temperature point location data of four quarters of a research region, and acquiring ocean surface temperature grid daily data within the same time; taking the average value asthe surface detection temperature corresponding to the actually measured seabed temperature point location, drawing a temperature image according to the surface detection temperature of the actuallymeasured seabed temperature point location, and preprocessing the temperature image to complete NetCDF data format conversion; performing data cleaning on the collected ocean surface temperature overthe years and seabed actual measurement temperature data of the corresponding positions of the ocean surface temperature, removing abnormal data, forming normally available data set data, and extracting data set information in an external file through an openpyxl library of python; randomly dividing the data set into a training set and a test set according to a ratio of 3: 1 to obtain expected data; building a bp neural network model, adjusting parameters of the model, repeatedly training, and repeatedly adjusting the architecture of the model.

Description

technical field [0001] The invention relates to a method for building a model, in particular to a method for building a regional ocean bottom thermal infrared remote sensing monitoring and forecasting model. Background technique [0002] At present, the remote sensing monitoring of the marine environment still stays in the monitoring of the environment of the ocean surface area, such as red tide, oil spill, sea surface temperature, etc. [0003] The complex ecological environment of the seabed and the ever-changing temperature changes have brought great difficulties to the monitoring of seabed temperature. In order to measure the temperature of seabed points, temperature buoys are generally placed on the seabed for data collection or in-situ detection. However, seabed temperature buoys have high requirements for equipment and divers, and it is difficult to implement large-scale seabed temperature monitoring. [0004] The high flying altitude of remote sensing satellites pro...

AI Technical Summary

Problems solved by technology

[0004] The high flying altitude of remote sensing satellites provides technical support for large-scale marine environment monitoring. However, due to the limitations of satellite sensor detection capabilities, passive remote sensing detection methods can only obtain surface or sea surface information, which makes it difficult to carry out seabed temperature monitoring and cannot be quickly monitored. , convenient and high-precision detection of seabed temperature

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