Abstract:

Using QIN and SOB representative algorithms for retrieving land surface temperature (LST) based on the MODIS in Liaoning province, both precision and error were analyzed. The results show that LST retrieved by QIN and SOB algorithms has a good linear fitting with the observed air temperature and surface temperature, especially for a SOB algorithm. According to the error histograms, retrieved LST by two methods is close to the observed surface temperature. Errors of the air and surface temperature between ±2 ℃ calculated by two methods are compared, and error ratio of the SOB algorithm is slightly higher than that of the QIN algorithm. Field experiment, being a same resolution with remote sensing data, suggests that mean absolute errors between two the retrieved and observed temperature both are 1.5 ℃. Compared with the LST from NASA website, mean absolute error of the QIN and SOB algorithms are 1.75 ℃ and 1.70 ℃, respectively. Thus, the two algorithms both are suitable in Liaoning province, and the SOB algorithm has less error.

Key words: Split-window method, Correlation, Error analysis