Environmental satellite 1-based surface temperature single-window inversion method

Abstract

The invention discloses an environmental satellite 1-based surface temperature single-window inversion method. The method comprises the following steps of: 1, acquiring remote sensing data of an environmental satellite 1B, namely an HJ-1B satellite, of the surface of a region to be tested, preprocessing the remote sensing data to acquire image data and converting a pixel brightness digital number (DN) value of the image data into radiance; 2, performing atmospheric correction on the image data by using an image-based continental offshore stratigraphic test (COST) atmospheric correction model; 3, estimating emissivity epsilon of the surface of the region to be tested by a normalized difference vegetation index (NDVI) threshold method; and 4, inverting the surface temperature by a single-window algorithm according to calculation results obtained in the steps 1 to 3. In the method, the image-based COST model atmospheric correction method and the surface temperature single-window algorithm with no need of an atmospheric water vapor content parameter are applied to the HJ-1B satellite remote sensing data, so that the inversion of the surface temperature is realized.

Description

technical field [0001] The invention relates to the technical field of thermal infrared remote sensing, in particular to a single-window inversion method of surface temperature based on Environment-1 satellite. Background technique [0002] Land surface temperature is a key parameter of radiation and energy exchange between the land surface and the atmosphere, as well as regional and global surface physical processes. Thermal infrared remote sensing is an effective means to detect land surface temperature. Environment-1 Satellite A, B (HJ-A / B) is a brand new civil satellite launched in 2008 by our country after meteorological, oceanographic and land resources satellites. The thermal infrared band spatial resolution of the infrared camera (IRS) on the HJ-1B satellite is 300m. There are not many thermal infrared studies on this star, and they mainly focus on the early stage of model simulation, on-orbit evaluation, or relatively complex inversion process. For example, Duan Si...

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Problems solved by technology

The radiative transfer equation method is more complicated and requires many parameters, which is inconvenient to apply in the actual inversion of surface temperature. Although the latter two methods only need surface temperature, atmospheric water vapor content and surface specific emissivity (Qin Zhihao’s single-window algorithm also needs atmospheric average temperature), but the atmospheric water vapor content is not easy to obtain. Although the atmospheric water vapor distribution is obtained through other remote sensing data, such as the water vapor product of MODIS (an important sensor on the terra and aqua satellites) or the band ratio method, different Errors are also likely to occur when sensors and data of different resolutions are fused

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