{'fraction_non_alphanumeric': 0.03576751117734724, 'fraction_numerical': 0.0, 'mean_word_length': 5.72, '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}}
Uncertainties in VIIRS Nighttime Light Time Series Analysis

The Nighttime Light (NTL) observed from the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) has shown a strong relationship with socio-economic and environmental variables. The long-term NTL measurements have been used as a primary data source to monitor the temporal dynamics of human activities. Characterizing the uncertainties in NTL is crucial for time series analysis. Here we analyzed the uncertainties due to moon-view geometry, vegetation, snow, surface Bidirectional Reflectance Distribution Function (BRDF)/albedo, and aerosol.