All-weather surface temperature near-real-time inversion method fused with multi-source satellite remote sensing

Abstract

The invention discloses an all-weather surface temperature near-real-time inversion method fused with multi-source satellite remote sensing, and belongs to the technical field of satellite remote sensing surface temperature. The method comprises the following steps: firstly, constructing a regression mapping model between brightness temperature data of a microwave radiometer and passive microwave brightness temperature data, then constructing an estimation model of passive microwave brightness temperature in an orbit gap region, and obtaining seamless passive microwave brightness temperature in a specified period of a target region; and constructing a random forest regression relationship based on the microwave brightness temperature data of the passive microwave data of the target area and the surface temperature of the medium-resolution imaging spectrometer so as to obtain an all-weather surface temperature estimation value in the reconstruction period, and performing system error correction processing based on the surface temperature of the corresponding medium-resolution imaging spectrometer. The method does not need to depend on complete cycle data, can meet different application requirements and data production requirements of monitoring periods with different lengths, is good in precision, is higher in image quality, and can display more space detail information of the surface temperature.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing of surface temperature, and in particular relates to an all-weather near real-time inversion method of surface temperature integrated with multi-source satellite remote sensing. Background technique [0002] Land surface temperature (LST) is a key physical quantity in the interaction process between the land surface and the atmosphere. It is of great significance to grasp the temporal and spatial distribution of LST at regional and global scales, especially comprehensive, complete and continuous information. With the continuous advancement and development of remote sensing technology, the launch of sensors on various platforms makes it possible to obtain regional and global LST quickly and in real time. LST is of great significance to the study of land surface emissivity (LSE) between land-atmosphere radiation and equilibrium, which has become an important part of the field of qu...

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Problems solved by technology

However, at present, all methods focus on the reconstruction of historical archive data, which cannot meet the requirements of real-time or near-real-time (NRT) monitoring of the surface.

At the same time, the problem of lack of data in the orbital gap area caused by passive microwave data (such as AMSR2) due to the satellite’s polar orbit operation has not been well resolved. In other words, the fusion of passive microwave and thermal infrared remote sensing cannot achieve a true all-weather

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