Method for estimating biomass of wetland plants through aerial photographic remote sensing of unmanned aerial vehicle

Abstract

The invention discloses a method for estimating biomass of wetland plants through aerial photographic remote sensing of an unmanned aerial vehicle. The method comprises the following steps: with the unmanned aerial vehicle as a remote sensing photography platform, continuously shooting images of the to-be-estimated wetland by the unmanned aerial vehicle, performing field collection on to-be-estimated wetland plant biomass samples, calculating the biomass, and processing the images of the to-be-estimated wetland by a digital photogrammetry technology to acquire the high-resolution-ratio groundnormal incidence image of the to-be-estimated wetland; establishing a ground surface plant community height change model image and a visible light vegetation index model image of the to-be-estimated wetland; according to the plant biomass of the sampling point, the ground surface plant community height value and the visible light vegetation index value, establishing a regression model of the plantbiomass, the plant community height and the visible light vegetation index (VDVI), and estimating the biomass of the wetland plants by the regression model. By the method provided by the invention, the biomass of the large-area wetland plants can be estimated rapidly, the working efficiency and the quality are greatly improved, the accuracy is relatively high and the cost is relatively low.

Description

technical field [0001] The invention relates to a technique for estimating wetland plant biomass in natural resource surveys, in particular to a method for estimating wetland plant biomass using aerial photography of a drone. Background technique [0002] How to scientifically and quickly estimate the biomass of large-scale wetland plants has always been a difficult problem in ecology. Current research mainly estimates biomass by collecting plant samples. However, this method requires a lot of engineering and time-consuming, and it is difficult to apply to large-scale wetlands. Moreover, studies have shown that the accumulation of nitrogen and phosphorus is significantly positively correlated with biomass. Therefore, large-scale estimation of wetland plant biomass is of great significance for the evaluation of plant configuration and water purification capacity of wetland ecosystems. [0003] At present, satellite remote sensing technology is widely used in the estimation o...

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Problems solved by technology

[0003] At present, satellite remote sensing technology is widely used in the estimation of large-scale crops and vegetation biomass, but few studies involve the evaluation of plant nitrogen and phosphorus absorption capacity, and due to the limitation of spatial and temporal resolution of satellite remote sensing images, the obtained There are large errors in wetland vegetation information on the local scale of lakes and rivers

At the same time, it is difficult to estimate the biomass of wetland plants with obvious seasonal changes, so the established biomass inversion model often has insufficient accuracy due to poor fitting.

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