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Model and method for estimating plant species diversity based on hyperspectral remote sensing data

A hyperspectral remote sensing and diversity technology, applied in the measurement of scattering characteristics, etc., can solve the problem of plant species diversity without an effective hyperspectral monitoring model.

Inactive Publication Date: 2020-12-25
MINZU UNIVERSITY OF CHINA
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AI Technical Summary

Problems solved by technology

However, there is no effective hyperspectral monitoring model for the monitoring of plant species diversity. Therefore, it is urgent to develop a hyperspectral remote sensing model suitable for the rapid assessment of plant species diversity in grasslands, grasslands, and farmlands.

Method used

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  • Model and method for estimating plant species diversity based on hyperspectral remote sensing data

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Experimental program
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Embodiment 1

[0045] The plant spectrum is collected with a hand-held ground object spectrometer (FieldSpec H2, or ASD or other spectrometers that meet the requirements can be selected), the spectral range is 325-1075nm, the spectral resolution is 3nm, and the sampling interval is 1nm. Spectral measurements were carried out in sunny weather with wind force less than level 3, and the collection time was from 10:00 to 15:00 local time. The surveyors wear dark clothing to avoid blocking the sun and avoiding spectral interference. The probe of the measuring instrument is vertically downward and kept within 2-2.2m above the canopy to ensure that the canopy of the plant sample quadrat to be measured is filled with the field of view of the measuring instrument, and the average value is obtained by repeating the measurement 10 times for each sample. Before the measurement, the radiation spectrum reflected by the reference whiteboard is measured synchronously for calibration, and the system is optim...

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Abstract

The invention discloses a model and method for estimating the diversity of plant species based on hyperspectral remote sensing data. A formula of the model is Y equals to 321.434FD654-38.89FD976 plus31.274FD966 plus 204.216FD847 plus 122.714FD853 plus 0.258. A construction method of the model comprises the following steps of field measurement by adopting a hyperspectral measuring instrument; datacorrection and validation; data smooth processing; calculation of a first-order spectral derivative; selection of a characteristic wave band; stepwise regression, wherein the model with highest stepwise significance is selected as an optimization model. The model and the method can rapidly estimate the diversity of the plant species according to spectral heterogeneity-species diversity hypothesisand can be widely suitable for rapid estimation of the diversity of the plant species including grasslands, lawns, shrubs, farmlands and nursery lands.

Description

technical field [0001] The invention relates to a model and a method, in particular to a model and a method for estimating plant species diversity based on hyperspectral remote sensing data. Background technique [0002] Hyperspectral remote sensing technology has been widely used in ecological environment monitoring, crop pests and diseases, crop yield estimation, geological and mineral exploration, etc., and is playing an increasingly important role. The spectral characteristics of plants are the changes in light absorption, transmission and reflection caused by physiological and ecological characteristics and compositional structure characteristics. Hyperspectral data can be used to quantitatively invert vegetation physiological and biochemical parameters, mainly involving vegetation coverage, biomass, leaves, etc. Area index, as well as leaf or canopy water content, chlorophyll content, mineral nutrient content, cellulose, lignin, starch and protein content, photosynthet...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/55
CPCG01N21/55
Inventor 彭羽夏建新范敏
Owner MINZU UNIVERSITY OF CHINA
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