Air-ground integrated mangrove forest monitoring system and control method

Abstract

The invention belongs to the technical field of monitoring systems, and discloses an air-ground integrated mangrove forest monitoring system and a control method, and the method comprises the steps: obtaining a high-resolution aerial image of a statistical target region through an unmanned plane or other aerial photographing means, and analyzing the structural distribution of a mangrove forest; carrying out meteorological and hydrological detection on the located region by collecting hydrological and meteorological environment factors; according to the data detected in the step 1, opening an image for processing by using high-resolution image crown extraction software, and comparing the image with an original image to determine the number of mangrove forests; estimating the mangrove forestpest situation according to the data detected in the step 1 in combination with the image spectrum and the texture features; and performing variety statistics on wild animals in the mangrove forest in a single area by utilizing a statistical system sampling principle, and evaluating the action variety in the whole mangrove forest according to the variety number of the detected animals to obtain the animal variety. The mangrove forest is monitored and information is transmitted by adopting a remote sensing information technology, so that the monitoring quality and efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of monitoring systems, and in particular relates to an air-ground integrated mangrove monitoring system and a control method. Background technique [0002] At present, mangroves refer to the tidal flat wetland civil biome composed of evergreen shrubs or trees that grow in the upper part of the tropical and subtropical low-energy coastal intertidal zone and are submerged by periodic tides. In the existing technology, remote sensing technology is used to monitor mangroves; however, through remote sensing monitoring technology, the monitoring data is not comprehensive enough to correctly reflect the state of mangroves; the monitoring of mangroves adopts the traditional monitoring mode, not only the content of monitoring is less , and the accuracy of monitoring is low, resulting in more obstacles in the maintenance process of the conservation department. [0003] In summary, the problems in the prior art are: ...

AI Technical Summary

Problems solved by technology

[0004] Through remote sensing monitoring technology, the monitoring data is not comprehensive enough to correctly reflect the status of mangroves

[0005] The monitoring of mangroves adopts the traditional monitoring mode, which not only monitors less content, but also has lower monitoring accuracy, which leads to more obstacles in the maintenance process of the conservation department

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