River runoff monitoring system and method for remote sensing hydrological station

Abstract

The invention discloses a river runoff monitoring system and method for remote sensing hydrological station. The system for monitoring the river runoff by the remote sensing hydrological station comprises a satellite radar module, an unmanned aerial vehicle module, an image processing module and a storage and calculation module, the method comprises the following steps: acquiring position information and a first image of a monitored river by utilizing a satellite radar, acquiring a plurality of corresponding second images at different heights by utilizing a plurality of unmanned aerial vehicles according to the position information, and returning the second images in real time; the invention discloses a real-time image processing module. Depending on a real-time first image, carrying out splicing and geometric correction on the second image; extracting a corresponding river width from the corrected second image; according to the method, the corresponding river runoff value is calculated and stored by combining the ground monitoring data, the data is acquired at different heights by combining the satellite radar and the multiple unmanned aerial vehicles, and geometric correction isperformed on the images acquired by the unmanned aerial vehicles, so that the accuracy of the monitoring data is improved.

Description

technical field [0001] The invention relates to the technical field of river runoff monitoring, in particular to a system and method for monitoring river runoff at a remote sensing hydrological station. Background technique [0002] Rivers are an important source of water for humans and are closely related to human life and production. They are also an important part of the earth's water cycle and play a vital role in regional economic development and climate change. In recent years, with the advancement of science and technology and the development of human society, people pay more and more attention to the monitoring of water resources. The development of remote sensing technology provides a new method for the observation of global river flow, and the use of remote sensing can make up for the lack of ground flow observation. However, due to the large number of data parameters required by distributed remote sensing hydrological models and the difficulty of obtaining them, ...

AI Technical Summary

Problems solved by technology

However, due to the large number of data parameters required by distributed remote sensing hydrological models and the difficulty of obtaining them, they are not widely used

Moreover, the hydrological parameters and variables monitored by conventional remote sensing are difficult to meet the accuracy requirements for guaranteeing hydrological parameters and variables, resulting in low accuracy of the monitored data

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