Abstract:

In view of the problem of XPGR  (cross-polarized gradient ratio) algorithm existed in the ice-sheet freeze-thaw detection, we proposed an improved XPGR  algorithm used in the Antarctic ice-sheet freeze-thaw detection by microwave radiometer.The algorithm used the generalized Gaussian model to automatically calculate the optimal threshold of the dry and wet snow through histogram statistics for the long time series data of  XPGR, which did not depend on the field observations. By comparing and analyzing, we can see that the two results are very similar, but the new algorithm improves the computational efficiency, usability and operability of detecting in the ice-sheet freeze-thaw detection because the algorithm does not rely on field observations. To some extent, the new algorithm can also improve the accuracy of ice-sheet freeze-thaw detection.

Key words: freeze-thaw detection, microwave radiometer, improved cross-polarized gradient ratio, generalized Gaussian model, remote sensing