A shallow lake water surface imaging spectrum acquisition system and synchronous automatic monitoring method

Abstract

The invention discloses an automatic spectrum monitoring system for the water surface imaging of a shallow lake and a synchronous automatic monitoring method. The system comprises a support platform, a power supplying system, a data collector system, a data transmission system and a data center; the support platform comprises a platform formed by a plurality of pile supports and an instrument room built on the platform; the power supplying system supplies power for the data collector system and the data transmission system; the data collector system comprises an imaging spectrometer and a matched observation tower frame; the data transmission system is connected with the data collector system and transmits the water surface imaging spectrum remote sensing information collected by the data collector system to the data center. The spectrum collecting system for the water surface imaging of the shallow lake and the synchronous automatic monitoring method are suitable for the remote sensing field monitoring and research on the water color and the algae bloom, converted under a region expansion space size, of the area with the characteristics of relative immobilization and high frequency of an algae bloom generating position of the eutrophication lake.

Description

Technical field [0001] The invention belongs to the field of environmental remote sensing monitoring, and relates to a shallow lake water surface imaging spectrum acquisition system and a monitoring method thereof. Background technique [0002] The spectral characteristics of water bodies are the external characteristics of the composition of water bodies, and the types and contents of water bodies can be analyzed by using remote sensing reflectance of water bodies measured in the field. [0003] The water spectrum characteristics of water from visible light to near-infrared bands are mainly manifested as: about 412nm can reflect yellow substances and debris, 443nm can reflect the absorption peak of medium and low concentrations of chlorophyll, and about 490nm can reflect the absorption peak of medium and high concentrations of chlorophyll, 510nm Can reflect the suspended sediment and red tide, about 560nm can reflect the concentration of suspended sediment, and the minimum chlorop...

AI Technical Summary

Problems solved by technology

[0008] 1. The traditional instrument for obtaining spectral information on the surface of water is a non-imaging spectrometer. The spectrometer actually obtains the information of a certain point on the water surface, but the specific location of the point cannot be accurately judged and can only give an approximate range. For complex and changeable eutrophication As far as water bodies are concerned, it is not conducive to accurately obtain information such as water quality, hydrology, and underwater light fields that are synchronized with spectral information;

[0009] 2. The traditional research method for spatial scale conversion of remote sensing information is based on satellite images with different spatial resolutions. However, the transit time of different satellites is not consistent, and the spatial resolution of satellite images is too rough (a few meters to hundreds of meters). In addition, , the immature atmospheric correction technology for second-class water bodies, resulting in significant errors in the atmospheric correction of satellite data, which will cause severe interference to the water body information with weak signals, directly affecting the accuracy of the final monitoring results

Imaging spectrometers can be mounted on space-based platforms such as drones, but their operating costs are high, and it is difficult to obtain remote sensing information with different spatial resolutions of the same research area at different heights in a short time interval.

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