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Chlorophyll inversion method suitable for sparse vegetation area

A technology of chlorophyll and sparse areas, applied in the field of remote sensing, to achieve the effect of improving the accuracy of inversion

Inactive Publication Date: 2016-02-24
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

But the vegetation index combination is in the range of low chlorophyll concentration (C ab 2 ) is still relatively sensitive to the soil background, that is, there are still great limitations in the retrieval of chlorophyll during the growth period of vegetation seedlings

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  • Chlorophyll inversion method suitable for sparse vegetation area

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Embodiment Construction

[0012] The present invention will be further described below in conjunction with the accompanying drawings.

[0013] The specific implementation of the patented method is as follows: first, preprocessing the acquired hyperspectral remote sensing images, mainly including radiometric calibration, atmospheric correction, redundant band removal, etc., to obtain the surface reflectance, and then calculate the chlorophyll to be used Combination CI of two vegetation indices green / G and TCARI / OSAVI. Secondly, through the PROSAIL model, the reflectance of the vegetation canopy in the range of 400-2500nm is simulated forward and the CI green / G and TCARI / OSAVI. Finally, a cost function between the simulated vegetation index combination and the observed vegetation index combination is established and minimized using an optimization algorithm. Such as figure 1 As shown, CI green / G in the low concentration range of chlorophyll (Cab2 ) is insensitive to changes in LAI ( figure 1 (a)...

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Abstract

The present invention discloses a method for reducing soil background influence on chlorophyll inversion results by use of vegetation index combinations. Firstly, remote sensing image atmospheric correction is performed, two vegetation index combinations CIgreen / G and TCARI / OSAVI are calculated, and finally the two vegetation index combinations are introduced a model cost function for regional inversion. In low chlorophyll concentration region, the CIgreen / G is used for controlling the inversion result; in medium and high chlorophyll concentration regions, the TCARI / OSAVI is used for controlling the inversion result, and chlorophyll content subregion threshold can be determined according to the actual situation. LAI can be set to a fixed value when the method is used for chlorophyll inversion, and model execution efficiency and inversion accuracy improvement can be facilitated. The technical method has an obvious effect of reduction of soil background influence in sparse vegetation area chlorophyll inversion process.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and relates to a chlorophyll inversion method suitable for sparse vegetation areas, and specifically relates to a method for reducing the influence of soil background in sparse vegetation areas on chlorophyll inversion results by combining multiple vegetation indices . Background technique [0002] Chlorophyll is the basic component of vegetation leaves, which is closely related to photosynthetic process, light energy utilization of solar radiation, and absorption of atmospheric carbon dioxide. Moreover, chlorophyll, as an important nitrogen-containing substance in leaves, has a relatively accurate indicator effect on the absorption and utilization of nitrogen nutrients in plants. Therefore, accurate estimation of vegetation chlorophyll content is of great significance for the study of vegetation health, productivity estimation, and carbon cycle research. [0003] Physical model inversio...

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Application Information

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IPC IPC(8): G01N21/25
Inventor 何彬彬殷长明全兴文
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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