Arbor biomass measuring and calculating method based on unmanned aerial vehicle hyperspectrum and machine learning algorithm

Abstract

The invention relates to the field of ecological environment monitoring, and discloses an arbor biomass measuring and calculating method based on an unmanned aerial vehicle hyperspectrum and a machinelearning algorithm, which is used for better realizing biomass monitoring of arbor of a target area type. The method comprises the following steps: acquiring a hyperspectral image of terrestrial plants in a target area by using an unmanned aerial vehicle, modeling based on the hyperspectral image, and extracting elevation information of a digital surface model; extracting spectral information from the original image photos, and performing quantitative inversion model training by adopting a machine learning algorithm according to types of terrestrial plant ecological environment monitoring vegetation classifications in combination with high-level information, characteristic wave bands and vegetation indexes of various plants in the target area to obtain an inversion model; classifying thevegetation types of the target area by using an inversion model so as to extract arbor classification data; and finally, calculating to obtain the arbor biomass by utilizing the extracted arbor classification data and combining with an aboveground biomass formula. The invention is suitable for arbor biomass measurement and calculation.

Description

technical field [0001] The invention relates to the field of ecological environment monitoring, in particular to an arbor biomass measurement method based on UAV hyperspectral and machine learning algorithms. Background technique [0002] Forest biomass is the result of accumulation in the long-term production and metabolism of forest ecosystems, and is the energy basis and material source for the operation of forest ecosystems. Forest biomass includes the biomass of forest trees (the total weight of roots, stems, leaves, flowers, fruits, seeds and litter, etc.) and the biomass of understory vegetation. It is usually expressed as the amount of dry matter or energy accumulated per unit area or per unit time. The biomass of a forest community is the most direct expression of the structure and function of the forest ecosystem. Its size is affected by factors such as photosynthesis, respiration, death, harvest, and human activities. The comprehensive result of factors such as ...

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Problems solved by technology

At the same time, with the increasing maturity of machine learning algorithms and the continuous improvement of related databases, the efficiency and accuracy of impact classification methods will be greatly improved.

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