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Mixed effect model for predicting large-area subtropical forest biomass

A forest biomass and mixed effect technology, applied in the direction of measuring devices, radio wave measurement systems, electromagnetic wave reradiation, etc., can solve the problems of using and not yet having laser radar, and achieve the effect of improving the estimation accuracy

Active Publication Date: 2018-12-07
INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI +1
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  • Application Information

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Problems solved by technology

At present, most patents use optical remote sensing inversion to estimate biomass, such as "A Remote Sensing Inversion Method for Forest Biomass Based on Spectral Curve Feature Differentiation" (publication number: CN106291582A) and "A Remote Sensing Monitoring Scale-up of Green Biomass in Desert Grassland Method" (publication number: CN106294991A), there is no patent for applying laser radar to large-scale forest biomass

Method used

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  • Mixed effect model for predicting large-area subtropical forest biomass
  • Mixed effect model for predicting large-area subtropical forest biomass
  • Mixed effect model for predicting large-area subtropical forest biomass

Examples

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Embodiment 1

[0032] A mixed-effects model for predicting trunk volume in large subtropical forests based on lidar and vegetation type, including the following steps:

[0033] 1) Overview of the test area

[0034] The research area is located in Fujian Province, covering the entire Longyan City (about 19000km 2 ), next to the Taiwan Strait in southeastern China ( figure 1 ). Fujian is the province with the highest forest coverage in China, and Longyan is the county with the highest forest coverage (about 78%) in Fujian. Most of the province is mountainous and has a vast territory. In Longyan, about 95% of the land is mountainous and hilly, with an average slope of about 28 degrees and an altitude between 69m and 1811m above mean sea level. The climate is affected by the subtropical marine monsoon, making it one of the provinces with the most precipitation in the country (about 1700mm / a).

[0035] 2) LiDAR data acquisition and preprocessing

[0036] Airborne lidar data was collected us...

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Abstract

The invention discloses a mixed effect model for predicting large-area subtropical forest biomass, belonging to the technical field of forest management and related to an extraction technology of forest biomass. By relatively convenient data acquisition approaches and relatively less capital and personnel investment, an extraction technology aiming at large-area subtropical forest biomass is designed. The technology is mainly composed of five stages including extraction of laser radar data feature variables, ground sample plot data stem volume estimation, model construction and model verification based on vegetational forms and biomass calculation based on the stem volume and a biomass relative growth model. The technology improves biomass estimation precision of a laser radar method in alarge-scale forest, and provides a simplified technical solution for an airborne laser radar in forestry reconnaissance application of a large-area subtropical forest.

Description

technical field [0001] The invention belongs to the technical field of forest management, and relates to a technique for extracting forest biomass, in particular to an extraction technique for large-area subtropical forest biomass. Invention of a mixed-effects prediction model for predicting biomass of large-scale subtropical forests based on lidar and vegetation type. Background technique [0002] Commercially available small airborne lidar (light detection and ranging) as the most advanced remote sensing technique above the landscape level for estimating forest structure parameters such as height, basal area, stem volume and biomass, first in temperate boreal forests as the dominant type application in developed countries in North America and Europe, after which it has long been concentrated in temperate and boreal forests. In recent years, several studies have applied commercial airborne lidar to other forest types, such as tropical forests in Africa, South America, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G01S17/88
CPCG01S17/88G06F30/20Y02A90/10
Inventor 陈奇任引郑小曼左舒翟戴劭勍
Owner INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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