IMPACT OF ATMOSPHERIC WATER VAPOR CONTENT ON LAND SURFACE TEMPERATURE RETRIVING FROM NOAA/AVHRR DATA

摘要

In retrieving LST from satellite data, the atmospheric correction is a challenging part of preprocessing. In order to avoid the atmospheric correction issue, split window algorithms are usually used for retrieving LST from NOAA/AVHRR data. However, the simple split window algorithms cannot remove the atmospheric effect completely. Therefore, some algorithms incorporating the atmospheric water vapor (AWV) content have been developed. In this study, we examined the impact of AWV content on LST retrieving from AVHRR by comparing the LST which were retrieved by various split window algorithms. In addition, we examined the possibility that the precipitable water (PW) estimated from AVHRR was used as the AWV content parameter in the alternative split window algorithm like the PW derived from GPS data. It was found that the impact of AWV on LST retrieving in urban area was greater than vegetation area and the PW estimated from AVHRR could be used for retrieving LST within 0.5 degree Celsius error in case of AWV content less than 3.0 g/m~2.