{'fraction_non_alphanumeric': 0.013904982618771726, 'fraction_numerical': 0.002317497103128621, 'mean_word_length': 5.447761194029851, '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}}
Comparison of Aster and SPOT4 modified soil adjusted vegetation index data over northwestern China

Vegetation indices (VIs) are essential parameters widely used in the biosphere remote sensing retrieval, and the relationship between the same vegetation indexes derived from different sensors is critical to long-term monitoring of land surface properties. In this paper, MSAVI data derived from visible and near-infrared data acquired by the ASTER and SPOT4 sensors were compared over the same time periods and pixel size. The results showed that the two VIs play a higher correlation in high data field. ASTER MSAVI is more sensitive to vegetation coverage information. SPOT MSAVI overvalues the local vegetation reflection signals significantly. The linear relationship between vegetation coverage and MSAVI requires field sampling data to complete correction.