A Remote Sensing Monitoring Method for Near-Surface Air Temperature

Abstract

This application provides a remote sensing monitoring method for near-surface air temperature, including: obtaining remote sensing products including surface temperature, leaf area index, snow coverage ratio and altitude data of the area to be measured; performing spatio-temporal reconstruction analysis on the remote sensing products, Obtain the surface temperature, leaf area index and snow cover ratio data of the time-spatial integrity of the area to be measured; according to the preset near-surface air temperature calculation model, and the surface temperature and leaf area of ​​the corresponding time according to the time-spatial integrity Index, snow cover ratio and altitude data to obtain the temperature value of the area to be measured. In the embodiment of this application, the remote sensing monitoring of air temperature is realized by establishing the statistical relationship between air temperature and surface temperature, leaf area index, snow cover ratio and altitude, and these data are obtained quickly and accurately. At the same time, the spatial resolution of remote sensing products is getting higher and higher, so that it can provide fast, accurate and high spatial resolution temperature monitoring services at a lower cost.

Description

technical field [0001] The invention relates to the field of remote sensing monitoring, in particular to a remote sensing monitoring method for near-surface air temperature. Background technique [0002] Near-surface air temperature is an environmental factor closely related to human beings and an important parameter of various ecological and hydrological models. Temperatures are generally observed by surface weather stations, but there are very few weather stations in some areas. Existing temperature monitoring technology cannot provide fast and accurate temperature monitoring services at a low cost, especially in some remote areas, where the temperature estimation results based on limited temperature observations combined with terrain are quite different from the actual temperature, but if The cost of adding a large number of weather stations for temperature monitoring in these areas is extremely high and sometimes impossible. Contents of the invention [0003] In view...

AI Technical Summary

Problems solved by technology

Existing temperature monitoring technology cannot provide fast and accurate temperature monitoring services at a low cost, especially in some remote areas, where the temperature estimation results based on limited temperature observations combined with topography are quite different from the actual temperature, but if The cost of adding a large number of weather stations for temperature monitoring in these areas is extremely high and sometimes impossible

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