Remote-sensing wild automatic monitoring system and method for shallow lakes

Abstract

The invention discloses a remote-sensing wild automatic monitoring system and method for shallow lakes. The system comprises a supporting platform, a power supplying system, a data acquisition system, a data transmission system and a data center, wherein the supporting platform comprises a platform supported by a plurality of piles and an instrument room established on the platform; the power supplying system is used for supplying power to the data acquisition system and the data transmission system; the data acquisition system comprises a weather sensor, a hydrological sensor, a water quality sensor, a water surface imaging spectrum acquisition system, an underwater optical field simultaneous monitoring system and a camera; the data transmission system is connected with the data acquisition system and is used for transmitting various types of lake water color remote sensing information acquired by the data acquisition system to the data center. The system and the method disclosed by the invention are suitable for carrying out remote-sensing wild monitoring and researches of lake water color and algae bloom in regions in which the sites of algae bloom in an eutrophicated lake are relatively fixed and frequency of algae bloom is high.

Description

technical field [0001] The invention belongs to the field of environmental monitoring, and relates to a shallow lake remote sensing field automatic monitoring system and a monitoring method thereof. Background technique [0002] Remote sensing of lake water environment is one of the research directions supported by Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences. It has distinctive characteristics and advantages in the field of domestic remote sensing and lake water environment. However, there is currently a lack of a test platform that can simultaneously acquire multiple water environment parameters and their remote sensing optical signals in a real environment. The construction of this platform will comprehensively improve the quantitative remote sensing research level of lake water environment in my country, and at the same time establish my country's leading position in remote sensing of lake water environment. The construction of this platform...

AI Technical Summary

Problems solved by technology

[0010] 1. The existing platform mainly uses space-based satellite data, and the immature atmospheric correction technology for second-class water bodies causes significant errors in the atmospheric correction of satellite data, which will cause severe interference to water body information with weak signals. It directly affects the accuracy of the final monitoring results; although the influence of the atmosphere on space-based remote sensing data is limited or even negligible, its operating costs are very high, and it is difficult to achieve real-time dynamic monitoring of fixed waters;

[0011] 2. There is a lack of field observation platforms that synchronize ground-based remote sensing and water environment quality monitoring. Traditional water quality monitoring that is synchronized with remote sensing information is carried out within 2-3 hours before and after the satellite data passes through. Since the water itself is in a flowing state and changes rapidly, The time difference of monitoring will inevitably affect the synchronization of water quality and remote sensing information. In addition, the spatial resolution of satellite data is generally several meters to hundreds of meters, while water quality monitoring is to take water quality data at a certain point, and the spatial difference of monitoring will also affect The synchronicity between the two affects;

[0012] 3. There is a lack of an observation platform for joint and simultaneous monitoring of water surface spectral information and underwater light field information. This platform will be useful for studying the mechanism of the vertical distribution of water quality on the underwater light field, and for exploring algae biomass in a unit water column by using water surface spectral information. Provide an important experimental basis;

[0013] 4. Lack of observation tower auxiliary imaging spectrum to obtain water body spectral information at different heights of the water surface in a short time distance, and can obtain spectral images of different spatial resolutions in agreed water areas quasi-synchronously, serving for the development of spatial scale conversion research

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