基于日光诱导叶绿素荧光遥感的河南省干旱监测与时空变化研究

doi:10.19788/j.issn.2096-6369.230116

Abstract

Abstract:

Drought, a natural disaster that has occurred frequently in recent decades, not only causes damage to the natural environment such as soil degradation, but also has a huge impact on economic development. The occurrence of drought is a long-term, continuous and complex process, which is the result of the combined effect of the atmosphere, soil and crops. This paper selected sun/solar-induced chlorophyll fluorescence remote sensing data from 2001 to 2020, took Henan Province as the study area, used the multi-year chlorophyll fluorescence anomaly index as the drought index, and classified drought classes based on the idea of quantile. Finally, the correlations between chlorophyll fluorescence anomaly index and statistical data (yield, affected area and disaster area) were calculated, and the spatial and temporal variation characteristics of the multi-year drought situation were analyzed, to provide scientific and effective suggestions for drought resistance and prevention. Results showed that the correlation coefficients of chlorophyll fluorescence drought index and wheat yield, maize yield, affected area and disaster area were 0.93, 0.89,-0.54 and-0.58, respectively. The correlation coefficients of chlorophyll fluorescence drought index and wheat yield and maize yield showed high positive correlation, while this index and affected area and disaster area showed negative correlation. This indicated the feasibility of chlorophyll fluorescence index in monitoring drought. Using the chlorophyll fluorescence drought index, the drought situation in Henan Province was calculated in practical and spatial dimensions, and the drought from 2001 to 2020 was analyzed. The overall degree of drought in Henan Province was reduced, and the extent of drought was significantly reduced. Finally, four measures were proposed for drought prevention based on the results. This paper provided a scientific basis for drought prevention and drought control based on remote sensing of sun/solar-induced chlorophyll fluorescence for drought monitoring and analysis in Henan Province.

Key words: solar-induced chlorophyll fluorescence, drought monitoring, spatiotemporal variation, remote sensing

ZHANG Zhaoxu, XIAO Yue, GOU Wentao, CUI Jin. Study on Drought Monitoring and Spatiotemporal Change in Henan Province Based on Sun/solar-induced Chlorophyll Fluorescence Remote Sensing[J].Journal of Agricultural Big Data, 2023, 5(1): 76-86.

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Study on Drought Monitoring and Spatiotemporal Change in Henan Province Based on Sun/solar-induced Chlorophyll Fluorescence Remote Sensing

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