Research Directions & Ongoing Projects
🌍 Monitoring Ecosystem Dynamics from Space
Monitoring vegetation dynamics and ecosystem responses across the Mongolian Steppe using Earth Observation data and time-series analyses.
🔥 Fire Ecology and Ecosystem Responses in the Mongolian Steppe
🐟 Freshwater Biodiversity Monitoring
European freshwater macroinvertebrate richness trend explorer.
Interactive exploration of freshwater biodiversity patterns and temporal trends across Europe.
🚗 Human Mobility and Urban Socio-Ecological Systems
Exploratory implementation of MATSim to simulate mobility patterns across Munich and investigate potential links between human movement, accessibility, and urban socio-ecological systems.
On going project
| MORE STEP – Mobility at risk: Sustaining the Mongolian Steppe Ecosystem | Website |
This is a collaborative and interdisciplinary research project of Mongolian and German partners funded by the German Federal Ministry of Education and Research.
Finished project
Air Surface Temperature (Ta) Estimation using MODIS LST
✅ Phan et al. (2016)
Selected the best predictors for daily max/min Ta estimation
✅ Phan et al. (2017)
Compared linear models vs. Machine Learning (Random Forest)
✅ Phan & Kappas (2018)
Systematic Review & Meta-analysis of MODIS LST applications
✅ Phan et al. (2019)
Investigated LST data quantity & quality for Ta estimation
Machine Learning Approaches for Land Cover Classification and Mapping
✅ Phan & Kappas (2018)
(Highly Cited Paper)
A comparative analysis of multiple machine learning algorithms and related techniques for high-accuracy land cover classification.
✅ Phan et al. (2020)
(Highly Cited Paper)
Investigates the impact of image composition strategies on land cover classification performance.
✅ Phan et al. (2022)
Proposes a simple, fast, and accurate method for large-scale land cover mapping.
