Remote sensing technology for evaluating growth status of vegetation

Abstract

The invention discloses a remote sensing technology for evaluating the growth status of vegetation, and is used in the field of environment protection. The method flow of the remote sensing technologyis as follows: deriving and calculating ground radiation energy without contribution of direct solar radiation Bi(Tg_i<o>); calculating the middle infrared reflectivity rhob12 through Bi(Tg_i<o>); establishing a new vegetation index VI_M12 through rhob12 and the near infrared reflectivity rhoNIR; and evaluating the new vegetation index VI_M12. The method of the remote sensing technology is used to obtain the new vegetation index VI_M12, the vegetation index comprises the reflectivity of the near infrared band and the reflectivity of the middle-infrared band not sensitive to an aerosol, the characteristic that the NDVI (Normalized Differential Vegetation Index) is sensitive to the growth status of the vegetation is kept, the vegetation index also has the advantage that the vegetation indexis not sensitive to the aerosol; therefore, the obtained vegetation index is not sensitive to the weather like smoke dust, the growth status of the ground vegetation is also accurately observed, andthe vegetation index is of great significances for the regional or global problems in the fields of environment, hydrology, weather, zoology, forestry and the like.

Description

technical field [0001] The invention relates to a remote sensing technology in the field of environmental protection, in particular to a remote sensing technology for evaluating vegetation growth state. Background technique [0002] Remote sensing monitoring is currently the mainstream method for evaluating vegetation coverage. Vegetation index is a comprehensive reflection of vegetation type, coverage form, and growth status in a unit pixel. Its size depends on factors such as vegetation coverage, so vegetation growth can be estimated by using vegetation index. So far, a variety of vegetation indices have been developed, mainly as follows: [0003] 1. Normalized difference vegetation index NDVI NDVI=(ρ NIR -ρ R ) / (ρ NIR +ρ R ) (1) [0004] NDVI can reflect the background influence of the plant canopy, such as soil, wet ground, soil, dead leaves, roughness, etc., and is related to vegetation coverage. Its limitation is that it enhances the contrast of NIR and R reflec...

AI Technical Summary

Problems solved by technology

[0009] From the above remote sensing vegetation indices for estimating vegetation growth status, it can be known that some of these indices are greatly affected by the background, and some are greatly affected by the atmosphere, and each has its own shortcomings.

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