Recording Plan: Yes

Curated Track: 

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Call For Participation
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 Yilun Zhao (yilun3@illinois.edu) and Zijun Yang (yangz@uncw.edu). If you have any questions, please feel free to email us.

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.

Non-Presenting Participants