Community diversity estimation method based on remote sensing data heterogeneity

A technology of remote sensing data and diversity, applied in the direction of scattering characteristic measurement, data processing application, instrument, etc., can solve the problem that there is no effective remote sensing monitoring method for the richness of plant species, and improve the quantitative analysis and recognition classification accuracy of remote sensing images. Efficient information processing and saving input costs

Active Publication Date: 2020-04-14
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 community diversity suitable for grasslands, grasslands, and farmlands.

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  • Community diversity estimation method based on remote sensing data heterogeneity
  • Community diversity estimation method based on remote sensing data heterogeneity
  • Community diversity estimation method based on remote sensing data heterogeneity

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Embodiment Construction

[0021] The present invention will be described in further detail below in combination with specific embodiments.

[0022] A method for estimating community diversity based on remote sensing data heterogeneity, the method comprising the following steps:

[0023] 1, obtain LandsatTM remote sensing image data, carry out radiation correction as shown in formula ③;

[0024] E=EOA, formula③

[0025] Among them, E is the electromagnetic wave energy received by the sensor, EO is the radiation energy of the surface object, and A is the attenuation coefficient of the atmosphere, which can be obtained from the atmospheric parameter device on the remote sensing platform;

[0026] Correct the geometric distortion of remote sensing images caused by other factors by using ground control points GCP (points that are easy to identify and can be accurately located on remote sensing images);

[0027] The gray value ratio of any two bands corresponding to pixels in the same area obtained simulta...

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Abstract

The invention discloses a community diversity estimation method based on remote sensing data heterogeneity. The method comprises the steps: acquiring remote sensing data, carrying out the radiation correction, geometric correction and terrain correction, and extracting the vegetation reflectivity at 450 nm, 470 nm, 800 nm, 465 nm, 681 nm, 750 nm and 550 nm as spectral data; correcting and checkingthe obtained spectral data to ensure that no data error exists; carrying out smoothing processing on the obtained spectral data; calculating a variance SD between reflectivity of each waveband between 450 nm and 470 nm; and calculating a plant species diversity index Y. The method can quickly estimate the diversity of the plant species and can be widely applied to quick evaluation of the richnessof the plant species in grassland, grassland, shrubs, farmlands, nursery lands and the like; diversity indexes of plant species can be rapidly determined, a large amount of manpower and material resource investment is not needed, and the method has advantages of efficient information processing and investment cost saving.

Description

technical field [0001] The invention relates to a method for estimating community diversity, in particular to a method for estimating community diversity based on the heterogeneity of remote sensing data. Background technique [0002] Community heterogeneity is one of the important indicators of ecosystem stability. It is widely used to indicate ecological resilience and sustainability, and is used for ecological quality evaluation, ecological construction and ecological governance. 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 physiol...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/55G06Q50/02
CPCG01N21/55G06Q50/02
Inventor 彭羽
Owner MINZU UNIVERSITY OF CHINA
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