TU1.P3.5
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
Osama Ahmad, Zubair Khalid, Muhammad Tahir, Momin Uppal, Lahore University of Management Sciences, Pakistan
Session:
TU1.P3: IoT in Geoscience and Remote Sensing Oral
Track:
AI and Big Data
Location:
Room P3
Presentation Time:
Tuesday, 5 August, 09:00 - 09:15
Presentation
Discussion
Resources
No resources available.
Session TU1.P3
TU1.P3.1: Robust TDOA Localization under Sparse NLOS via Geman-McClure with Balance Parameter
Qinyu Ding, Longwen Wu, Yaqin Zhao, Yang Cao, Harbin Institute of Technology, China; Kunyu Han, Civil Aviation University of China, China; Zhilu Wu, Harbin Institute of Technology, China
TU1.P3.2: Machine Learning-Based Spatiotemporal Pasture Mapping and Investigating Reindeer Mobility Patterns in Finland Using Sentinel-2 Images and GPS Data
Ikramul Hasan, Desheng Liu, The Ohio State University, Bangladesh
TU1.P3.3: A MULTI-LAYERED TOKENIZATION FRAMEWORK FOR IOT AND SATELLITE DATA INTEGRATION TO ENHANCE ENVIRONMENTAL MONITORING AND DISASTER MITIGATION
Amir Semnani, Guowu Yang, University of Electronic Science and Technology of China, China
TU1.P3.4: BREATHABLE-PUNJAB, PAKISTAN: HYBRID DEEP LEARNING MODEL FOR AIR QUALITY MONITORING AND MANAGEMENT
Maria Zubair, Reeha Kashif, Anser Mehmood, Omar Salman, Punjab Information Technology Board, Pakistan
TU1.P3.5: Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
Osama Ahmad, Zubair Khalid, Muhammad Tahir, Momin Uppal, Lahore University of Management Sciences, Pakistan
Resources
No resources available.