Remote sensing surface daily average temperature calculation method based on multi-time scale model

Abstract

The invention relates to a remote sensing surface daily average temperature calculation method based on a multi-time scale model, and the method comprises the steps: respectively reconstructing the under-cloud surface temperature of a satellite at each transit moment through an ATC model, and ensuring the time and space continuity of a surface temperature observation result; and on the basis of the under-cloud surface temperature reconstruction, simulating the intraday change trend of the surface temperature by using the DTC model, and solving the daily average temperature through an integration means. According to the method, the surface temperature missing value caused by cloud shielding can be reconstructed, meanwhile, the systematic deviation that the average daily average temperatureis higher than that of real daily average temperature in traditional four times of instantaneous observation can be effectively corrected, and daily average temperature products which are continuous in time and space are obtained. The method is high in applicability, can be used for rapid production of large-range remote sensing earth surface daily uniform temperature products, and can meet the requirements of actual production.

Description

technical field [0001] The invention relates to a method for calculating the average daily temperature of remote sensing surface temperature based on a multi-time scale model, and belongs to the field of application of remote sensing surface temperature time interpolation models and production and research of remote sensing surface temperature products. Background technique [0002] As a key parameter in the process of surface-atmosphere energy exchange, land surface temperature is constantly changing. Thermal infrared remote sensing is an important means for rapid and large-scale monitoring of surface temperature changes. At present, the following problems need to be solved in the dynamic monitoring of surface temperature by thermal infrared remote sensing: (1) Due to the influence of cloud and atmospheric factors, there are large-scale missing values ​​in surface temperature observation; (2) The observed surface temperature is an instantaneous value. It cannot reflect the...

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Problems solved by technology

However, in the actual production process, especially for large-scale production of kilometer-level products, there is still a lack of rapid production based on the surface temperature data of bipolar orbiting satellites represented by Moderate Resolution Imaging Spectroradiometer (MODIS) The method of daily average temperature is embodied in: (1) In the process of temperature reconstruction under the cloud, most of the reconstruction methods under the cloud are only applicable to small local areas, and are limited by the calculation speed, so it is difficult to be extended to large-scale product production such as the world (2) In the construction of the daily change process from instantaneous temperature to continuous surface temperature, the downscaling and image fusion methods are limited by the systematic error of incomplete matching between different satellite data, which affects the daily average temperature product. consistency

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