Land surface temperature (LST) inversion method based on HJ-1B IRS satellite data

Abstract

The invention provides a land surface temperature (LST) inversion technology based on domestic HJ-1B satellite IRS sensor data. The LST inversion method based on the HJ-1B IRS satellite data mainly comprises the following steps that the land surface emissivity (LSE) is inverted through a vegetation index product of a MODIS, the LST is inverted through a mono-window algorithm, LST data in different time phases are converted into a benchmark time phase through a sensing image time-space fusion technology, and inlaying and cutting of area data are carried out. The LST inversion method based on the HJ-1B IRS satellite data adopts the sensing image time-space fusion technology, improves the LST inversion accuracy of the HJ-1B IRS data through a foreign MODIS sensor high-accuracy LST product, and meanwhile achieves the purpose of producing large-area same-time-phase HJ-1B IRS LST products.

Description

technical field [0001] The invention relates to a method for retrieving LST based on HJ-1B IRS satellite data, which is a practical technical method for retrieving LST of surface temperature by using domestic HJ-1B satellite IRS sensor data, and can be applied in agriculture and environmental monitoring, etc. The field belongs to the field of satellite remote sensing technology. Background technique [0002] Land Surface Temperature (LST) is an important geophysical parameter. The technology of extracting Sea Surface Temperature (SST) from satellite remote sensing data is relatively mature and can achieve 1K accuracy on a global scale. Because the land surface is much more complex than the ocean surface, the accuracy of land surface temperature retrieval is low, and land surface temperature retrieval has become a scientific problem that needs to be solved urgently. [0003] With the development of remote sensing technology, geothermal infrared remote sensing plays an impor...

AI Technical Summary

Problems solved by technology

However, due to the low level of temperature control technology of the sensor itself and the inaccurate absolute calibration coefficient, the LST inversion accuracy of HJ-1B IRS data is not high and unstable, which seriously restricts its quantitative application.

[0004] In order to improve the LST inversion accuracy of HJ-1B IRS data, domestic scientists have done a lot of valuable work. For on-satellite calibration, some scholars use the 31-channel data of the US TERRA satellite MODIS sensor in different phases of Qinghai Lake to cross-calibrate the thermal infrared channel of HJ-1B, which improves the accuracy of the calibration coefficient of the thermal infrared channel of HJ-1B. Scholars have developed a special single-window LST inversion algorithm based on the characteristics of HJ-1B IRS data. These works have made the inverted LST data more accurate, but there is still a certain gap between the accuracy of the LST data retrieved by foreign sensors, such as the US TERRA satellite. LST data products of MODIS sensors

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