Winter wheat drought monitoring method based on TROPOMI chlorophyll fluorescence remote sensing

Abstract

The invention discloses a winter wheat drought monitoring method based on TROPOMI chlorophyll fluorescence remote sensing. The method comprises the following steps: collecting TROPOMI chlorophyll fluorescence data, winter wheat spatial distribution data and soil moisture field survey data; performing equal longitude and latitude rasterization, linear interpolation and SG filtering reconstruction processing to obtain a day-by-day spatial continuous SIF data set of the research area; constructing a normalized chlorophyll fluorescence drought index NIBS by integrating the spatial distribution data of the winter wheat and the reconstructed day-by-day spatial continuous SIF data set of the research area; performing precision evaluation on the NIBS index by using the same-period temperature vegetation drought index TVDI and soil moisture field survey data; and dynamically monitoring the spring drought of the research area based on the NIBS index. The NIBS index indicates the drought condition of crops in a research area on the spatio-temporal scale, has high correlation with other drought condition monitoring methods in the same period, and can provide rich spatio-temporal change information for drought condition monitoring due to the advantage of high spatio-temporal resolution.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring. Specifically, it is a winter wheat drought monitoring method based on TROPOMI chlorophyll fluorescence remote sensing. Background technique [0002] The frequent occurrence of natural disasters and large-scale climate anomalies have always been a great challenge to human development. Among them, drought affects a wide range and lasts for a long time. It is the disaster with the largest natural impact in the world and the most serious impact on human activities and losses. As the climate change situation becomes more severe, the frequency and duration of droughts tend to increase, and the resulting reduction in crop production also threatens the food security of the country or region. Therefore, it is particularly important to monitor droughts in major grain-producing areas. Traditional drought monitoring methods mostly use fixed ground monitoring and random survey methods, whic...

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Problems solved by technology

At the scale of leaves and canopies, water stress will directly reduce the fluorescence yield of vegetation, even if the corresponding greenness information has not changed significantly; and based on the SIF data retrieved by spaceborne sensors, scholars have also carried out drought research in different regions of the world. Studies on the impact of events on vegetation, such as Russia, the Amazon forest, the central plains of the United States, and Australia, have shown that SIF, as a new data source, can provide unique and direct temporal and spatial change information for early warning and accurate monitoring of drought. Limited by sensor performance, SIF-based drought monitoring also has disadvantages such as low spatial resolution, long update cycle or discontinuous data space.

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