Leaf area index inversion method and device based on remote sensing images

Abstract

The embodiment of the invention provides a leaf area index inversion method and a device based on remote sensing images. On the basis of numerical values of hot and dark spot vegetation indexes which can reflect leaf aggregation information, leaf area inversion equations of different plant types are determined. Further, according to preset angle indexes, a leaf area index inversion equation which is suitable for all plant types of remote sensing images to be processed is obtained. Therefore, leaf area indexes which are obtained by using the inversion equation have higher inversion accuracy because the influences of vegetation plant types are considered.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to a leaf area index inversion method and device based on remote sensing images. Background technique [0002] Based on the advantages of remote sensing technology, such as large detection range, multiple methods, and large amount of information obtained, the leaf area inversion method based on remote sensing images is currently the main method for large-scale estimation of leaf area index. [0003] In practical applications, the plant type will have an impact on the inversion results of the LAI. For example, the LAI obtained from the inversion of horizontally growing leaves may be too large, while the LAI obtained from the inversion of vertically growing leaves It may be too small, but the current remote sensing method for leaf area index retrieval rarely takes into account the influence of plant type on leaf area index, so the retrieval accuracy of leaf area index is likely to be low...

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a leaf area index inversion method and device based on remote sensing im

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