A technology and device for predicting plant community coverage in terrestrial ecosystems

A plant and covering technology, applied in the field of digital imaging correction model parameters, can solve problems such as poor plant community effect

Active Publication Date: 2021-08-03
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some scholars have proposed a method to quickly calculate grassland vegetation coverage from digital photos by using overgreen feature vegetation index and semi-automatic threshold setting algorithm. The calculation results are accurate and objective, and have strong applicability. Poor (Hu Jianbo et al., 2011)

Method used

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  • A technology and device for predicting plant community coverage in terrestrial ecosystems
  • A technology and device for predicting plant community coverage in terrestrial ecosystems
  • A technology and device for predicting plant community coverage in terrestrial ecosystems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Applying the plant community covering technology and device in this paper to a province in Northwest China

[0054] ①Comparing the vegetation coverage data generated by the vegetation coverage simulation system and the digital camera system, the analysis results are shown in Table 1:

[0055] Table 1 Comparison results of average plant coverage in different seasons (based on years)

[0056]

[0057] ②Simulation of one-year plant cover

[0058] Use the plant cover simulation system to generate the plant cover of the sample point in one year, the results are shown in figure 2 .

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Abstract

Aiming at the shortcomings of short observation time, high observation error, large workload and low efficiency of long-term continuous manual observation of plant community coverage in terrestrial ecosystems, the present invention invents a plant that can generate long-term sequences and takes two weeks as the time precision. Coverage technology can be used to quantitatively describe the change of plant community cover under the conditions of climate change and human disturbance. The technology first uses soil analyzers and plant monitoring equipment to obtain soil particle size and plant parameters, and combines soil databases to obtain soil hydrological parameters. Then the dynamic vegetation model is used to simulate the plant community coverage, and the digital camera imaging is used to obtain the measured plant coverage, the simulation results are verified and the soil hydrology and vegetation parameters in the database are corrected. The technology and device have the characteristics of low cost, high prediction accuracy, and wide application range, and have important indicative significance for the study of plant dynamics in terrestrial ecosystems and the protection of biodiversity.

Description

technical field [0001] The invention belongs to the field of biological monitoring of terrestrial ecosystems, and relates to a method of obtaining soil hydrology and vegetation parameters by using a soil analyzer and a plant monitoring device, generating long-term plant coverage data by means of mathematical modeling and simulation, and using digital imaging to correct model parameters technology and devices. Background technique [0002] With the continuous development of social economy, environmental and ecological problems caused by climate change and human activities have become increasingly prominent. Climate change and human activities have significantly altered the composition and diversity of plant communities in terrestrial ecosystems. Plants, as primary producers, are key components in shaping terrestrial ecosystems, and are more sensitive to environmental changes than other ecosystem components. Compared with other plant physiological and ecological characterist...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06F30/20G01D21/02
CPCG01D21/02G06Q10/04G06F30/20
Inventor 郭通唐艳鸿
Owner PEKING UNIV
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