A Hyperspectral Remote Sensing Method for Estimating Species Richness of Vascular Plants

A hyperspectral remote sensing and richness technology, which is applied in the field of estimating species richness of vascular plant communities based on hyperspectral remote sensing data, can solve the problem that there is no effective remote sensing monitoring method for plant species richness, and saves input costs and information processing. efficient effect

Active Publication Date: 2022-03-25
MINZU UNIVERSITY OF CHINA
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Problems solved by technology

However, there is no effective remote sensing monitoring method for the monitoring of plant species richness. Therefore, it is urgent to develop a method for rapid assessment of plant species richness suitable for grassland, grassland, farmland and other objects.

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  • A Hyperspectral Remote Sensing Method for Estimating Species Richness of Vascular Plants
  • A Hyperspectral Remote Sensing Method for Estimating Species Richness of Vascular Plants
  • A Hyperspectral Remote Sensing Method for Estimating Species Richness of Vascular Plants

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Embodiment Construction

[0024] The present invention will be described in further detail below in combination with specific embodiments.

[0025] A hyperspectral remote sensing method for estimating species richness of vascular plants, the method comprising the following steps:

[0026] Ⅰ. Obtain LandsatTM remote sensing image data, perform radiation correction, geometric correction, terrain correction, remove clouds, cut vegetation areas, and extract vegetation reflectance data between 760-920nm as spectral data;

[0027] Among them, the radiation correction method is shown in formula ④:

[0028] E=E0A, formula④

[0029] E is the electromagnetic wave energy received by the sensor, E0 is the radiated energy of the surface object, and A is the attenuation coefficient of the atmosphere.

[0030] The method of geometric correction is to correct the geometric distortion of remote sensing image caused by other factors by using ground control point GCP (a point that is easy to identify and can be accurat...

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Abstract

The invention discloses a hyperspectral remote sensing method for estimating species richness of vascular plants. The method comprises: acquiring remote sensing data, performing radiation correction, geometric correction and terrain correction, and then extracting spectral data; correcting and Check to ensure that there is no data error; smooth the acquired spectral data, and obtain the mean value of the intermediate data based on the adjacent 4 data; calculate the first-order spectral derivative; calculate the ratio of the first-order derivative of each band; calculate species diversity Index estimates. The present invention can quickly estimate the diversity of plant species, and can be widely applied to the rapid assessment of the species richness of vascular plants in grasslands, grasslands, shrubs, farmlands and nurseries; Or the large cost of purchasing remote sensing images can quickly determine the diversity index of plant species without requiring a lot of manpower and material resources, and has the advantages of efficient information processing and saving input costs.

Description

technical field [0001] The invention relates to a method for estimating the species richness of vascular plant communities, in particular to a method for estimating the species richness of vascular plant communities based on hyperspectral remote sensing data. Background technique [0002] 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. Remote sensing data can be used to quantitatively invert vegetation physiological and biochemical parameters, mainly involving vegetation coverage, biomass, and leaf area. index, as well as leaf or canopy water content, chlorophyll content, mineral nutrient content, cellul...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/17G01N21/552
CPCG01N21/17G01N21/55G01N2021/1797
Inventor 彭羽
Owner MINZU UNIVERSITY OF CHINA
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