Mangrove forest ecological information intelligent extraction method based on unmanned aerial vehicle

Abstract

The invention discloses a mangrove forest ecological information intelligent extraction method based on an unmanned aerial vehicle, and the method comprises the steps: collecting visible light remote sensing data through the unmanned aerial vehicle, carrying out the preprocessing of the data, recognizing mangrove species through a pixel-level type recognition algorithm, and calculating the mangrove forest area and species diversity; then, generating a DSM result through three-dimensional reconstruction, and calculating ecological indexes of the mangrove plant canopy diameter and the height of the mangrove plant in combination with a mangrove plant type identification result. According to the method, mangrove forest ecological information monitoring is carried out by means of the unmanned aerial vehicle, operation is convenient, the real-time performance is high, and precision is high; meanwhile, mangrove forest ecological information is obtained according to unmanned aerial vehicle remote sensing data, the health degree of the mangrove forest can be further evaluated, and efficient protection and recovery of the mangrove forest are facilitated.

Description

technical field [0001] The invention belongs to the technical field of remote sensing monitoring of mangroves, and in particular relates to a method for intelligently extracting mangrove ecological information based on unmanned aerial vehicles. Background technique [0002] Mangrove is a woody plant community distributed in the intertidal zone of tropical and subtropical coasts. It forms the mangrove wetland ecosystem together with related habitats in tidal flats, saline flats and tidal mixed areas. Mangrove ecosystems play an irreplaceable and important role in resisting sudden ecological disasters such as tsunamis and storm surges, protecting coastal dams, maintaining coastal biodiversity, and maintaining the stability and balance of bay estuary ecosystems. effective management is particularly important. Therefore, accurate and timely monitoring of mangrove ecological information is required. [0003] Due to the complex environment of the mangrove ecosystem, it is time-c...

AI Technical Summary

Problems solved by technology

[0003] Due to the complex environment of the mangrove ecosystem, it is time-consuming and labor-intensive to obtain mangrove ecological information through field quadrat surveys, and it is impossible to conduct a global analysis of the entire mangrove sample plot

Although satellite remote sensing monitoring has alleviated the above problems to a certain extent, the spatial resolution of satellite remote sensing data is limited, and the cognition accuracy of mangroves is not high.

In addition, the real-time performance of satellite remote sensing data is not high, which is not convenient for timely monitoring and analysis of mangrove ecological information

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