Recording Plan: 

Curated Track: 

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Call For Participation
We invite presentations to this session that has been organized for four years. To present a paper in this in-person session, please submit your abstract online by Oct. 31, 2024 (https://www.aag.org/events/aag2025), and email your abstract code/PIN, paper title, and abstract to one of the following organizers by Dec. 2, 2024.

Description:

Aims and Scope:

Cities are complex organisms, and urban life is deeply rooted in the dynamic patterns of cities. Humans create a better life by building better cities. In this progress, there is an essential need to sense the impulse of the city matrix, i.e., urban sensing, which refers to the technologies to sense and acquire dynamic patterns of city and human behaviors in the urban space. The ultimate goal of urban sensing is to build prosperous, sustainable, and equitable cities. To serve this goal, the scientific and engineering communities have responsibility to innovate theories and practices to monitor, analyze, model, predict, and intervene the urban phenomena.

Geospatial big data, such as remote sensing imagery, street view images, social media, and mobile location data, are major observations in urban sensing. Analyzing these observations brings technical challenges, such as data acquisition, management, and mining. Recent progresses in artificial intelligence for geospatial data (GeoAI) and generative artificial intelligence have proven to be powerful tools for information/knowledge extraction from big data. We believe that geospatial big data and AI are among the most promising approaches to address the technical challenges in contemporary urban sensing. This session aims to capture the recent advancements in using geospatial big data/AI to sense and understand urban environments, including conceptualization, knowledge framework, toolbox organization, and applications.

Potential topics include, but are not limited to, the following:
• Exploration of the definitions and sources of urban geospatial big data
• Spatiotemporal scales of geospatial big data in urban settings
• Technology on capturing, storing, processing, and analyzing urban geospatial big data
• Geo-senor network and Internet of things
• Urban complex systems
• Human mobility trajectories
• Urban hazard vulnerability assessment and emergency response
• General data processing and analyzing frameworks for urban geospatial big data
• Social or physical phenomena mining, modeling, and visualization in urban areas using geospatial big data
• Data representation and fusion of multi-modality observations in urban environments, such as images, text, sound, demography, and activities in cyberspace
• Privacy policies of urban geospatial big data
• Interdisciplinary applications based on urban geospatial big data, such as public health


Organizers:
• Huan Ning, The Pennsylvania State University, US, hmn5304@psu.edu
• Zhenlong Li, The Pennsylvania State University, US, zhenlong@psu.edu
• Temitope Ezekiel Akinboyewa, The Pennsylvania State University, US, tea5209@psu.edu
• M. Naser Lessani, The Pennsylvania State University, US, mlessani@psu.edu
• Manzhu Yu, The Pennsylvania State University, US, mqy5198@psu.edu


We also have another session on this topic:
AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Urban Sensing and Understanding via Geospatial Big Data and AI (2),
Link: https://aag.secure-platform.com/aag2025/solicitations/82/sessiongallery/24064

Non-Presenting Participants