{'fraction_non_alphanumeric': 0.0289193302891933, 'fraction_numerical': 0.0091324200913242, 'mean_word_length': 5.326923076923077, '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 empirical topographic normalization method for forest TM data

A new empirical topographic correction method is proposed and applied to multi-temporal Landsat TM data (bands 1-5 and 7) collected in different periods of the growing season (April, June, July), for a mixed deciduous forest area (343 ha) in the northern Apennines. The method is based on the empirical observation that while for near-Lambertian behavior a linear relationship exists between radiance and the cosine of the incidence angle (i), for more anisotropic reflection a linear regression between the radiance logarithm and cos(i) is more effective at modeling topographic dependence.