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.