Solar-induced chlorophyll fluorescence drought monitoring method

Abstract

The invention relates to a solar-induced chlorophyll fluorescence drought monitoring method. The method comprises the following steps: acquiring remote sensing image data of a research area; resampling the spatial resolution of the unified remote sensing data by using a mean value method, multiplying an MODIS surface temperature (LST) product by a coefficient, converting the MODIS surface temperature (LST) product into a true value, processing low-quality data according to a quality control file and SG filtering, and extracting OCO2SIF data of a research area; respectively determining LSTmax,LSTmin, SIFmax and SIFmin according to the research area, and substituting the obtained LSTmax, LSTmin, SIFmax and SIFmin into a normalization formula to obtain TCI and SCI images of the research area; determining weights of the TCI and the SCI through an entropy weight method and substituting the same into a TSDI calculation formula, and obtaining a research area TSDI image; verifying the applicability of the TSDI by using the ESA CCI SM. The method is suitable for drought monitoring under the vegetation coverage condition, is more sensitive to hydrothermal stress compared with an NDVI-baseddrought index, and is directly related to vegetation photosynthesis, and therefore vegetation physiological drought evaluation is more accurate.

Description

Technical field[0001]The invention relates to the technical field of drought detection, in particular to a sun-induced chlorophyll fluorescence drought monitoring method.Background technique[0002]Under the conditions of global climate change, vegetation growth is often affected by hydrothermal stress. Moreover, the frequency, duration and severity of droughts have been increasing in recent decades, seriously threatening terrestrial ecosystems and food security. With the development of satellite remote sensing technology, it has derived new products, such as Sun-induced chlorophyll fluorescence (SIF) and so on. SIF is essentially the energy released from chlorophyll in the process of plant photosynthesis. It is directly related to the photosynthesis of crops. It has gradually become a new remote sensing data source for monitoring vegetation growth in large areas. It is considered a more reliable indicator than vegetation index. . SIF can be a new method for directly estimating GPP, w...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a drought monitoring method induced by chlorophyll fluorescence in the sun, which solves the problem that the existing drought indexes in the prior art are not directly related to vegetation photosynthesis and physiological stress, and cannot reflect in time that the vegetation is affected. The question of the true state of coercion

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