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Naizhuo Zhao
Naizhuo Zhao
McGill University Health Center
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model
T Ye, N Zhao, X Yang, Z Ouyang, X Liu, Q Chen, K Hu, W Yue, J Qi, Z Li, ...
Science of the total environment 658, 936-946, 2019
1822019
Contribution of urbanization to the increase of extreme heat events in an urban agglomeration in east China
X Yang, L Ruby Leung, N Zhao, C Zhao, Y Qian, K Hu, X Liu, B Chen
Geophysical Research Letters 44 (13), 6940-6950, 2017
1812017
Improve ground-level PM2. 5 concentration mapping using a random forests-based geostatistical approach
Y Liu, G Cao, N Zhao, K Mulligan, X Ye
Environmental pollution 235, 272-282, 2018
1102018
Forecasting China’s GDP at the pixel level using nighttime lights time series and population images
N Zhao, Y Liu, G Cao, EL Samson, J Zhang
GIScience & Remote Sensing 54 (3), 407-425, 2017
962017
Net primary production and gross domestic product in China derived from satellite imagery
N Zhao, N Currit, E Samson
Ecological Economics 70 (5), 921-928, 2011
902011
Day-of-week and seasonal patterns of PM2. 5 concentrations over the United States: Time-series analyses using the Prophet procedure
N Zhao, Y Liu, JK Vanos, G Cao
Atmospheric environment 192, 116-127, 2018
852018
Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery
N Zhao, T Ghosh, EL Samson
International journal of remote sensing 33 (20), 6304-6320, 2012
812012
Correcting incompatible DN values and geometric errors in nighttime lights time-series images
N Zhao, Y Zhou, EL Samson
IEEE Transactions on Geoscience and Remote Sensing 53 (4), 2039-2049, 2014
772014
Population mapping with multisensor remote sensing images and point-of-interest data
X Yang, T Ye, N Zhao, Q Chen, W Yue, J Qi, B Zeng, P Jia
Remote Sensing 11 (5), 574, 2019
682019
Improving accuracy of economic estimations with VIIRS DNB image products
N Zhao, FC Hsu, G Cao, EL Samson
Remote Sensing of Night-time Light, 45-64, 2021
672021
Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia
N Zhao, K Charland, M Carabali, EO Nsoesie, M Maheu-Giroux, E Rees, ...
PLoS neglected tropical diseases 14 (9), e0008056, 2020
662020
Effects of synoptic weather on ground-level PM2. 5 concentrations in the United States
Y Liu, N Zhao, JK Vanos, G Cao
Atmospheric Environment 148, 297-305, 2017
522017
Elaine O
N Zhao, K Charland, M Carabali
Nsoesie., Mathieu MaheuGiroux., Erin Rees., Mengru Yuan., Cesar Garcia …, 2020
472020
Long-term ozone exposure and mortality from neurological diseases in Canada
N Zhao, L Pinault, O Toyib, J Vanos, M Tjepkema, S Cakmak
Environment international 157, 106817, 2021
402021
These lit areas are undeveloped: Delimiting China’s urban extents from thresholded nighttime light imagery
Y Liu, T Delahunty, N Zhao, G Cao
International journal of applied earth observation and geoinformation 50, 39-50, 2016
402016
Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors
N Zhao, G Cao, W Zhang, EL Samson
ISPRS journal of photogrammetry and remote sensing 146, 1-10, 2018
362018
Time series analysis of VIIRS-DNB nighttime lights imagery for change detection in urban areas: A case study of devastation in Puerto Rico from hurricanes Irma and Maria
N Zhao, Y Liu, FC Hsu, EL Samson, H Letu, D Liang, G Cao
Applied geography 120, 102222, 2020
352020
Brightness of nighttime lights as a proxy for freight traffic: A case study of China
J Tian, N Zhao, EL Samson, S Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
332013
Estimation of virtual water contained in international trade products using nighttime imagery
N Zhao, EL Samson
International Journal of Applied Earth Observation and Geoinformation 18 …, 2012
332012
Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data
Q Chen, X Yang, Z Ouyang, N Zhao, Q Jiang, T Ye, J Qi, W Yue
Environmental Pollution 266, 115183, 2020
322020
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