System and method for estimating urban vegetation coverage based on low-altitude remote sensing technology

Abstract

The present application provides a system and method for estimating urban vegetation coverage based on low-altitude remote sensing techniques. The system includes: S1, determining a range of an area to be estimated on a three-dimensional map displayed by the system; S2, determining the coordinates, altitudes and flight trajectories of the command executed by the unmanned aerial vehicle; S3, proofreading that position of the unmanned aerial vehicle, execute a shooting command, and uploading a shooting image; S4, performing image mosaic to obtain a complete orthophoto image of an area to be estimated; S5, extracting vegetation information from the photographed image, and constructing a vegetation index model; S6, the improved entropy threshold method being adopted to calculate the thresholdvalue; S7, calculating that vegetation coverage rate by using a threshold; S8 using the vegetation coverage rate to determine the vegetation coverage level. By improving the estimation process, the present application effectively improves the estimation accuracy and efficiency of urban vegetation cover while simplifying the operation process.

Description

technical field [0001] The invention relates to the field of urban vegetation coverage measurement and estimation, in particular to a system and method for estimating urban vegetation coverage based on low-altitude remote sensing measurement technology. Background technique [0002] Cities are the most concentrated areas of human activities, and exploring the unique properties of urban vegetation has important practical significance for urban planning and urban environmental protection. Urban vegetation is the living plants that cover cities. It includes the sum of all plants such as forests, shrubs, hedges, flower beds, grasslands, trees, crops, etc. owned by parks, campuses, temples, squares, stadiums, hospitals, streets, farmland, and vacant land in the city. [0003] Urban vegetation coverage is usually used to indicate urban greening planning goals or achieved greening achievement indicators. Since the 20th century, cities have developed faster and faster, and the pop...

AI Technical Summary

Problems solved by technology

The visual method mainly selects sample squares on the ground and estimates based on human experience. This method is difficult to guarantee the accuracy and reliability of the measurement.

The sampling method performs statistical measurement through sampling auxiliary tools in the sample square, but the disadvantage is that the operation is too complicated and takes a long time

Instrumental measurement methods mainly include spatial quantitative measurement method, mobile light meter method and digital camera photogrammetry method. The disadvantage is that it requires people to take pictures on the spot and takes a long time to operate.

In addition, it also includes the traditional aerial remote sensing measurement method. The traditional satellite and aircraft-based data acquisition methods have been widely used, but they are greatly affected by the weather and it is difficult to capture high-resolution images that meet the requirements.

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