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

A machine learning and hyperspectral technology, applied in the field of arbor biomass measurement and calculation, can solve problems affecting classification methods and achieve the effects of strong timeliness, high spectral resolution, and low equipment cost

Active Publication Date: 2021-01-29
POWERCHINA CHENGDU ENG
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At the same time, with the increasing maturity of machine learning algorithms and the continuous improvem...

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

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Embodiment Construction

[0030] The present invention aims at the problems of poor applicability and low accuracy in several monitoring methods such as satellite remote sensing data sources combined with traditional classification methods and simple field surveys in the prior art, and provides a UAV-based hyperspectral And the terrestrial plant ecological monitoring method of the arbor aboveground biomass measurement method of the machine learning algorithm (random forest RF), such as figure 1 The following steps are shown:

[0031] The first step is to carry out surveys of ground vegetation types according to the scope of the study area, vegetation distribution characteristics, and classification accuracy requirements, design plot layout plans, and record the types, locations, quantities, diameters at breast height, and heights of typical vegetation at each survey point. distribution information. Among them, the vegetation type is required to be recorded in the basic unit species (species) of biolog...

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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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Application Information

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IPC IPC(8): G06K9/00G06N20/00G06T7/62
CPCG06T7/62G06N20/00G06T2207/30188G06V20/188
Inventor 周湘山秦甦戴松晨张磊冯博李秋水詹晓敏周杰
Owner POWERCHINA CHENGDU ENG
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