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Alabia, I.; Dehara, M.; Saitoh, S.-I.; Hirawake, T. Seasonal Habitat Patterns of Japanese Common Squid (Todarodes Pacificus) Inferred from Satellite-Based Species Distribution Models 2016 Remote Sensing 8 921 details   doi
Alamús, R.; Bará, S.; Corbera, J.; Escofet, J.; Palà , V.; Pipia, L.; Tardà, A. Ground-based hyperspectral analysis of the urban nightscape 2017 ISPRS Journal of Photogrammetry and Remote Sensing 124 16-26 details   doi
Amaral, S.; Monteiro, A.M.V.; Camara, G.; Quintanilha, J.A. DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon 2006 International Journal of Remote Sensing 27 855-870 details   doi
Anderson, S.J.; Tuttle, B.T.; Powell, R.L.; Sutton, P.C. Characterizing relationships between population density and nighttime imagery for Denver, Colorado: issues of scale and representation 2010 International Journal of Remote Sensing 31 5733-5746 details   doi
Andrade-Núñez, M.J.; Aide, T.M. The Socio-Economic and Environmental Variables Associated with Hotspots of Infrastructure Expansion in South America 2020 Remote Sensing 12 116 details   doi
Arellano, B.; Roca, J. The Extraction Of Urbanized Areas Through Images Of High Resolution Nighttime Lights 2020 ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Xliii-B3-2020 649-655 details   doi
Asanuma, I.; Hasegawa, D.; Yamaguchi, T.; Park, J.G.; Mackin, K.J. Island Activities Detected by VIIRS and Validation with AIS 2018 Advances in Remote Sensing 07 171-182 details   doi
Aubrecht, C.; León Torres, J. Evaluating Multi-Sensor Nighttime Earth Observation Data for Identification of Mixed vs. Residential Use in Urban Areas 2016 Remote Sensing 8 114 details   doi
Bagan, H.; Yamagata, Y. Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data 2015 GIScience & Remote Sensing 52 765-780 details   doi
Bennett, M.M.; Smith, L.C. Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics 2017 Remote Sensing of Environment 192 176-197 details   doi
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