WE3.P4.2

EXPLORING THE SPATIOTEMPORAL EVOLUTION PATTERNS OF URBAN HEAT ISLAND WITH A NETWORK-BASED APPROACH

Kang Zou, Xinyu Yu, Man Sing Wong, Kai Qin, Rui Zhu, Songyang Li, The Hong Kong Polytechnic University, China
Session:
WE3.P4: Remote Sensing and Deep Learning for Urban Climate, Energy, and Environmental Insights Oral
Track:
Land Applications
Location:
Plaza: Room P4
Presentation Time:
Wednesday, 6 August, 13:30 - 13:45
Session Co-Chairs:
Yifang Ban, KTH Royal Institute of Technology and Claudio Persello, University of Twente
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Session WE3.P4
WE3.P4.1: Multi-Scale and Coordinate Attention-Based CNN for Local Climate Zone Classification
Ximing Liu, Luigi Russo, Wenbo Li, University of Pavia, Italy; Alim Samat, Xinjiang Institute of Ecology and Geography, China; Silvia Liberata Ullo, University of Sannio, Italy; Paolo Gamba, University of Pavia, Italy
WE3.P4.2: EXPLORING THE SPATIOTEMPORAL EVOLUTION PATTERNS OF URBAN HEAT ISLAND WITH A NETWORK-BASED APPROACH
Kang Zou, Xinyu Yu, Man Sing Wong, Kai Qin, Rui Zhu, Songyang Li, The Hong Kong Polytechnic University, China
WE3.P4.3: Identification of Roof Materials in Urban Hot Spots from Remote Sensing Imagery Using Deep Learning Methods
Qingyu Li, The Chinese University of Hong Kong, Shenzhen, China; Xinyue Yang, Technical University of Munich, Germany
WE3.P4.4: DEEP LEARNING-ENABLED ASSESSMENT OF ROOFTOP SOLAR POTENTIAL: INSIGHTS FOR SUSTAINABLE URBAN ENERGY PLANNING IN PAKISTAN
Muhammad Kamran Lodhi, Yumin Tan, Xiaolu Wang, Agus Suprijanto, Lukman Alage ISIAKA, Beihang University, China
WE3.P4.5: Evaluating the Applicability of GNSS Surveying Techniques in Obstructed Environments: A Comparative Analysis of Ultra-Rapid Static, Rapid Static, and Static Methods
Tharushika Balasooriya, Miyuru Wijesooriya, Lanka Institute of Technology, Sri Lanka; Kalum Udegepola, Scientific Research Development Institute of Technology Australia, Australia
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