Land surface temperature retrieval using HJ-1B/IRS data and analysis of its effect
The HJ-1 A/B satellite of China is widely used to monitor pollution, ecosystem destruction and natural disasters. Land surface temperature (LST) is required for a wide variety of scientific studies, from climatology to hydrology and ecology. In this paper, we propose Jimenez-Mufloz and Sobrino (JM&S) single-channel algorithm for retrieving LST from the infrared scanner (IRS) data of HJ-1B. Firstly, we got radiation intensity and brightness temperature from HJ-1B data. Then we calculated the atmospheric water vapor content with MODIS data. Afterwards, the emissivity was acquired with normalized difference vegetation index (NDVI). Finally, we retrieved LST with JM&S single-channel algorithm with these parameters. Through comparing LST retrieved from HJ-1B/IRS and MODIS LST product, we find that HJ-1B/IRS LST is basically consistent with the MODIS LST. Therefore, owing to high temporal resolution and large width, HJ-1B will play an important role on the research of LST retrieval.