Conversion method of vegetation ecological parameter remote sensing estimation model

Abstract

The invention discloses a conversion method of a vegetation ecological parameter remote sensing estimation model. The conversion method comprises the following steps: establishing a spectral responsefunction relationship model of a used sensor and a to-be-used sensor; establishing a to-be-used sensor expression suitable for the used sensor according to the spectral response function relationshipmodel; according to the expression of the sensor to be used, establishing a remote sensing estimation conversion model of the vegetation ecological parameter used sensor; estimating vegetation ecological parameters by using a sensor to be used based on the remote sensing estimation conversion model; wherein the vegetation ecological parameter remote sensing estimation models among different sensors are converted, early-stage work such as training sample selection is reduced, rapid and efficient vegetation ecological parameter remote sensing estimation model conversion among different sensors is achieved, and regional vegetation ecological parameters can be accurately estimated.

Description

technical field [0001] The invention relates to a conversion method of a vegetation ecological parameter remote sensing estimation model, belonging to the field of vegetation ecological parameter remote sensing inversion. Background technique [0002] Carrying out accurate remote sensing estimation of terrestrial vegetation ecological parameters, such as biomass, leaf area index, and vegetation coverage, has important practical significance for scientifically managing vegetation ecosystems, maintaining the balance of vegetation ecosystems, and promoting sustainable development. [0003] Constructing a statistical regression model using vegetation indices is the most commonly used remote sensing method for estimating vegetation ecological parameters. In the vegetation index, the red band with strong absorption to green plants and the near-infrared band with high reflection to green plants are usually selected. Among them, NDVI, that is, the ratio of the difference between th...

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Problems solved by technology

[0004] However, in actual research and application, different sensor remote sensing data are often used to carry out remote sensing estimation of vegetation ecological parameters. When using other sensor remote sensing data to estimate and study vegetation ecological parameters, the vegetation index based on this sensor cannot be directly applied to Based on the regression model constructed by the vegetation of the used sensors, this is mainly due to the difference in the radiation performance of the sensors to be used and the used sensors, and the band widths in the near-infrared and red bands are also different

[0005] In order to solve the above problems, a series of research work has been carried out. The most commonly used solution at present is to select a large number of sample training pixels for the research, and establish the relationship between the vegetation index of the remote sensing sensor to be used and the vegetation index of the remote sensing sensor used. Statistical relationship, using this statistical relationship to realize the conversion of the vegetation ecological parameters without using the sensor and using the sensor vegetation index estimation model, however, this method has great defects. Laborious; on the other hand, the established statistical relationship lacks internal mechanism and cannot be transplanted and expanded

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