A method for estimating vegetation temperature and bare land temperature based on satellite remote sensing data

Abstract

The invention discloses a method for estimating vegetation temperature and bare ground temperature based on satellite remote sensing data, comprising the following steps: step 1, preparing satellite remote sensing data and ground meteorological observation data; step 2, calculating vegetation coverage according to the data in step 1; Step 3, calculate the albedo of bare land, emissivity of bare land and vegetation emissivity respectively according to the data in step 1; Step 4, calculate temperature of bare land and vegetation. The invention is based on the principle of surface energy balance, does not depend on other pixel information, and uses the satellite remote sensing data of the target pixel, including but not limited to surface temperature, surface emissivity, vegetation index, vegetation type and ground meteorological observation data as input , to calculate the vegetation temperature and bare ground temperature of the target pixel, which has spatial independence and improves the estimation accuracy.

Description

technical field [0001] The invention relates to a method for estimating vegetation temperature and bare ground temperature, belonging to the technical field of satellite remote sensing, in particular to a method for estimating vegetation temperature and bare ground temperature based on satellite remote sensing data. Background technique [0002] Land Surface Temperature (LST) or T L ) is characterized by the pixel scale, which only represents the average land surface temperature of the area covered by the pixel, and cannot distinguish the vegetation temperature and bare land temperature in the pixel with different vegetation coverage. [0003] Land Surface Temperature (LST) or T L ) characterizes the temperature state of the earth's land surface, and is a key variable in the surface energy balance and water cycle. It plays a very important role in the study of land-atmosphere interaction and climate change. All fields have important application value. The surface temperat...

AI Technical Summary

Problems solved by technology

Aiming at the shortcomings of the existing calculation method, which has no physical mechanism support and cannot be applied to areas with high spatial heterogeneity, the present invention proposes a method based on the principle of surface energy balance, which does not depend on other pixel information, and uses target image The satellite remote sensing data (including surface temperature, surface emissivity, vegetation index, vegetation type, etc.)

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