GeoAI and Deep Learning Symposium: GeoAI for Sustainable Geodesign and Ecosystem Conservation
Type: Paper
Recording Plan:
Theme:
Curated Track:
Sponsor Group(s):
No Sponsor Group Associated with this Session
Organizer(s):
Orhun Aydin Saint Louis University
Yingjie Hu University At Buffalo
Chair(s):
Orhun Aydin, Saint Louis University
,
Call For Participation
The session invites methodological and applied research work into sustainable geodesign and ecosystem conservation. Topics of interest include the includes:
1. Spatial Data Science for the urban environment problems
- Forecasting and mapping environmental stressors
- Modeling human-environment feedback loops
- Models for quantifying environmental inequity
- Modeling and forecasting human-wildlife conflict
2. Spatial Data Science applications in conservation biogeography
- Species distribution modeling
- Conservation planning
- Remote sensing for conservation
- Ecosystem service forecasting
- Bayesian forecasting of habitat change
- Movement ecology and modeling wildlife behavior
3. Explainable GeoAI and data fusion for conservation
- Spatial and space-time visualizations of GeoAI methods for conservation
- Change detection for risk assessment
- Multidimensional visualization for sensor fusion
- Data fusion for modeling and prediction
Interested participants should email their submission PIN to Orhun Aydin (orhun.aydin@slu.edu).
Description:
Research on human-environment interaction, biodiversity forecasts, and ecosystem conservation all utilize a geographic information system (GIS) of systems approach for modeling and analyzing inherently interconnected dynamic phenomena. Changing climate is exerting substantial stress on on cities and natural ecosystem. Despite the thematic differences in ecosystem conversation and sustainable design, growing literature on common general frameworks utilizing geospatial artificial intelligence (GeoAI) exists. This session is calling for presentations on the overarching research themes related to ecosystem conservation and sustainable geodesign.
Presentations (if applicable) and Session Agenda:
Na Cheng, Cornell University |
Ecosystem Service Value Assessment Based on Big Data: A Case Study of Haikou, China |
Q&A |
Yihao Wu, American College of Education, Inc |
Ripples Create Waves: Integrating Interpretable Machine Learning and Econometrics to Enhance Street-level Vitality through Neighborhood Micro-Regeneration |
Q&A |
Pause Boden, Saint Louis University |
Comparative Analysis of Machine Learning Methods for Modeling Sargassum Prevalence in the Gulf of Mexico |
Q&A |
Vamsi Krishna Nippulapalli |
Contrastive Analysis of Deep Learning-Based Urban Heat Island Superresolution Modeling with Land Use Embeddings |
Q&A |
Non-Presenting Participants
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GeoAI and Deep Learning Symposium: GeoAI for Sustainable Geodesign and Ecosystem Conservation
Description
Type: Paper
Contact the Primary Organizer
Orhun Aydin Saint Louis University
orhun.aydin@slu.edu
Session sponsored by: