AAG 2024 Symposium on Geospatial Data Science for Sustainability: Advances in multitemporal remote sensing for terrestrial ecosystems 1
The session recording will be archived on the site until July 20th, 2025
This session was streamed but not recorded
Type: Paper,
Theme:
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Remote Sensing Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Zijun Yang University of Illinois at Urbana-Champaign
Yilun Zhao University of Illinois at Urbana-Champaign
Chunyuan Diao University of Illinois at Urbana-Champaign
Chair(s):
Description:
In the era of climate change and increased ecological pressures, it becomes increasingly important to understand the dynamics of terrestrial ecosystems and their responses to environmental changes. Multitemporal remote sensing offers a unique pathway for monitoring these ecosystems, capturing their temporal variations with unprecedented spatial detail and frequency. This session invites research that leverages multitemporal remote sensing to enhance our knowledge of terrestrial ecosystems. Specifically, this session calls for submissions that highlight novel theoretical frameworks, methodological advances, or applications of multitemporal remote sensing that contribute to our ability to observe, analyze, and model terrestrial ecosystems over time. We also encourage contributions that integrate multitemporal datasets with advanced analytical methods, such as machine learning and other data-driven approaches. Papers that demonstrate the synergy of multitemporal remote sensing with other data sources and technologies to provide deeper ecological insights are also welcome.
Potential topics include, but are not limited to:
- Climate and ecosystem monitoring
- Data generation with remote sensing and machine learning for ecosystem monitoring
- Modeling and quantification of ecosystem responses to climate change
- Near-real-time applications in ecosystem monitoring
- Cyberinfrastructure for multitemporal remote sensing
- Changes in land cover and use
- Assessment of ecosystem functioning and health
- Remote identification of vegetation phenology, biomass estimation, etc.
If you are interested in presenting a paper in this session, please (1) register and submit your abstract through AAG, and (2) send your presenter identification number (PIN), paper title, and abstract, to Zijun Yang (zijuny2@illinois.edu) and Yilun Zhao (yilun3@illinois.edu). If you have any questions, please feel free to email us.
Organizers:
Zijun Yang (University of Illinois at Urbana-Champaign, zijuny2@illinois.edu)
Yilun Zhao (University of Illinois at Urbana-Champaign, yilun3@illinois.edu)
Chunyuan Diao (University of Illinois at Urbana-Champaign, chunyuan@illinois.edu)
Presentations (if applicable) and Session Agenda:
Chang Zhao, NORC at the University of Chicago |
Geospatial Artificial Intelligence Detects Invasive Cactus Species across Large Heterogeneous Landscape of Laikipia, Kenya using Sentinel-2 Satellite Imagery |
Wenxin Yang |
Monitoring aboveground and belowground biomass carbon density dynamics in the Dangermond Preserve |
Chunyuan Diao, University of Illinois at Urbana-Champaign |
Monitoring diverse crop phenological stages using satellite time series |
Yang Li |
Biophysical forcing alters the climate mitigation benefits of bioenergy crops |
Non-Presenting Participants
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
AAG 2024 Symposium on Geospatial Data Science for Sustainability: Advances in multitemporal remote sensing for terrestrial ecosystems 1
Description
Type: Paper,
Contact the Primary Organizer
Zijun Yang University of Illinois at Urbana-Champaign
zijuny2@illinois.edu
Session Sponsored By