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A Method of Remote Sensing Forest Biomass Retrieval

A forest biomass and remote sensing technology, which is applied in the field of remote sensing forest biomass inversion, can solve the problems of biomass inversion, shallow feature variable mining depth, low specificity, etc., and achieves the effect of facilitating mechanism interpretation and increasing cost.

Active Publication Date: 2018-04-13
NANJING FORESTRY UNIV
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Problems solved by technology

However, the above methods only mine traditional "optical" and LiDAR data from a single angle, with low specificity, and the mining depth of feature variables is relatively shallow (that is, feature variables are not systematically extracted and screened from multiple angles), It is not yet possible to accurately invert the biomass

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  • A Method of Remote Sensing Forest Biomass Retrieval
  • A Method of Remote Sensing Forest Biomass Retrieval
  • A Method of Remote Sensing Forest Biomass Retrieval

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Embodiment 1

[0040] A remote sensing forest biomass inversion method, the technical route is as follows figure 1 As shown, this method is a remote sensing forest biomass inversion method that integrates LiDAR point cloud and OLI multispectral feature variables. Extract the characteristic variables of the vegetation canopy from the multi-spectral and multi-spectral (including the spectral information of the upper surface of the canopy) data; filter the above LiDAR point cloud and multi-spectral characteristic variables through correlation analysis, and combine the measured biomass information on the ground with a stepwise regression model to reflect aboveground and belowground biomass. details as follows:

[0041] The research area is located in the state-run Yushan Forest Farm in Changshu City, Jiangsu Province (120°42′9.4″E, 31°40′4.1″N), which has a subtropical monsoon climate with a mild climate, an average annual precipitation of 1054 mm, and an area of ​​about 1103hm 2 , and its alt...

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Abstract

The invention discloses a method for inverting remote sensing forest biomass. The method comprises the following steps: on the basis of remote sensing data pretreatment, extracting characteristic variables of a vegetation canopy from a LiDAR point cloud (comprising canopy three-dimensional space information) and multispectrum (comprising spectrum information on the upper surface of the canopy) data respectively; screening the characteristic variables of the LiDAR point cloud and the multispectrum through correlation analysis, and inverting overground and underground biomass by combining the ground actually measured biomass information through a stepwise regression model. Through the adoption of the optimized inverting model of northern subtropical forest biomass, constructed by method, the 'determination coefficient' R<2> of the model can be increase by 3-24%; the forest biomass can be estimated in high precision, and the 'relative root-mean-square error' (rRMSE) can be reduced by 2-10%. The method can be applied to the fields of forestry investigation, forest resource monitoring, forest carbon reserve evaluation, forest ecosystem research and the like, and provides quantitative data support for forest sustainable management and forest resource comprehensive utilization.

Description

technical field [0001] The invention relates to the technical field of forest pest monitoring and pollution-free control, in particular to a remote sensing forest biomass inversion method. Background technique [0002] Accurate biomass estimation is of great significance for forest resource monitoring, forest carbon stock assessment and forest ecosystem research. At the same time, these information can also provide quantitative data support for sustainable forest management and comprehensive utilization of forest resources. The traditional biomass survey method is time-consuming and laborious, and can only obtain limited "point" information, which is difficult to be practically promoted in a large area; however, remote sensing technology can accurately and quickly obtain forest parameters at various scales, and has a very good practical value and application prospects. [0003] The Landsat series of satellites can acquire forest multispectral (optical) information on mediu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/89
CPCG01S7/48G01S17/89
Inventor 曹林徐婷
Owner NANJING FORESTRY UNIV
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