River dry cutoff monitoring method and device based on multi-source remote sensing images

Abstract

The invention discloses a river dry cutoff monitoring method and device based on multi-source remote sensing images, and belongs to the field of river monitoring, and the method comprises the steps: obtaining the multi-source satellite remote sensing images of a monitoring region, and the multi-source satellite remote sensing images comprise meter-level remote sensing images and sub-meter-level remote sensing images; preprocessing the multi-source satellite remote sensing image; calculating a normalized water body index by utilizing the meter-scale remote sensing image, and extracting trunk river water body information; based on the regional river channel buffer vector data, reversely cutting a main river water body to obtain a first-level suspected dry river channel; analyzing the first-level suspected dry riverway based on the sub-meter-level remote sensing image by using an object-oriented method to obtain fine river water body information; reversely cutting the first-stage suspected dry riverway by using the fine river water body information to obtain a second-stage suspected dry riverway. According to the invention, comprehensive, objective, efficient and dynamic supervision can be carried out on the dry cutoff condition of the river, and technical support is provided for river and lake water environment evaluation, management, guarantee and restoration.

Description

technical field [0001] The invention relates to the field of river monitoring, in particular to a method, device, computer-readable storage medium and equipment for monitoring river drying up and interruption based on multi-source remote sensing images. Background technique [0002] The water volume of river and lake water systems is the basis for the existence of water systems and plays an important role in the health of the water ecological environment. However, with global climate change and rapid social and economic development, the uneven distribution and irrational use of water resources have led to a large number of rivers in some areas of my country. The water volume in the section has decreased, or even dried up, causing many hazards such as a drop in groundwater level, an intensified water resource crisis, and a shrinking capacity of the water environment, seriously damaging the water ecological environment of the basin. In order to grasp the water resources of rive...

AI Technical Summary

Problems solved by technology

However, the extraction of river water surface area can only qualitatively judge the flow of rivers, and cannot quantitatively determine the dry-up length, dry-up ratio and other cut-off degree indicators.

[0006] At present, remote sensing technology based on visual interpretation can solve some disadvantages of existing remote sensing technology, but visual interpretation needs to rely on human eyes to extract ground object information from sub-meter-level fusion images, which has a large workload and low efficiency. The demand for image storage space is large, and it is difficult to meet the requirements of real-time processing of massive data in large areas, which is not conducive to improving the intelligent level of environmental monitoring

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