
Bo Huang
@frankhuang_hk
Professor @HKUniversity specializing in spatiotemporal big data analytics, GIS, image fusion, environmental monitoring, and sustainable spatial planning
ID: 1354962570990350345
https://geog.hku.hk/b-huang 29-01-2021 01:20:43
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565 Followers
432 Following

ieeexplore.ieee.org/document/97700…. Following our spatiotemporal image fusion model for two prior pairs of input images (Huang and Zhang, 2014, IJRS), here is our new model, LWU-STFM, for one prior pair of input images. We have more to share with you - stay tuned! @spatiotemporal @fusion

Measuring PM2.5 with your mobile phone only has been made possible. Use PhotoAir App Store to get an idea on how to do it by just taking a photo. mdpi.com/1651792 #mdpiremotesensing @BigDataBigData Crowdsourcing Mobile Computing GIS Lounge


"Geospatial big data for urban and environmental sustainability" - a webinar with Bo Huang from The Chinese University of Hong Kong - CUHK 08 JUL 2022 (FRI) 15:00-16:30 geog.hku.hk/post/s20220708



Our paper on measuring building height via single street view images came out! Although my proposal on this work was rejected twice, we didn't stop the endeavor trusting that it's meaningful and has implications for constructing smart cities. authors.elsevier.com/a/1fc963I9x1j9… Smart City










Take a look at our article: nature.com/articles/s4146…. It presents spatiotemporal scaling laws for urban pulse, focusing on population fluctuations within a city. These scaling laws require spatial and temporal dimensions to emerge. Mike Batty Chris Zhou Ryan Qi Wang🏳️⚧️🏳️🌈✊🏿


Daily population fluctuations in cities are not random. HKU Geography Bo Huang, Xingye Tan and Peng Gong uncover universal spatiotemporal scaling laws governing daily population flows in cities. Read the full paper in Nature Communications doi.org/10.1038/s41467…
