{'fraction_non_alphanumeric': 0.021447721179624665, 'fraction_numerical': 0.004468275245755138, 'mean_word_length': 4.656565656565657, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An extended lookup table of cloud detection for MTSAT-1R

Cloud detection is a key work for the estimation of solar radiation from remote sensing. Particularly, the detection of thin cirrus cloud and the edges of thicker cloud is critical and difficult. To obtain accurate estimates of cloud cover of MTSAT-1R image, we propose an effective cloud detection algorithm for improving the detection of thin cirrus cloud and the edges of thicker cloud. Using the brightness temperature difference (BTD) and lookup table to identify cloud-free and cloud-filled pixels is not sufficient for MTSAT-1R data on the region of China. Therefore, a new lookup table (LUT) is made by extending the original one. On the basis of the exiting method, in order to apply to the MTSAT-1R satellite data in China region, we expand the scope of the latitude and extend the applicable scope of satellite zenith angle. We change the interpolation method from linear mode to nonlinear mode. The evaluation results indicate that our proposed method is effective for the cirrus and the edges of thicker cloud detection of MTSAT-1R in China region.