Stanford’s M.S. in Earth System Science equips students to tackle environmental and planetary challenges with tools from data science, physics, and ecology. These project ideas reflect cross-cutting work in climate change, Earth observation, sustainability modeling, and risk forecasting.
Climate Model Validation Using Historical Satellite Data
Carbon Cycle Modeling in Tropical Rainforest Ecosystems
Hydrologic Forecasting of Drought Events Using Machine Learning
Remote Sensing of Glacier Retreat in Polar Regions
Soil Moisture Mapping with Satellite and Ground-Based Data
Methane Emission Monitoring from Wetlands Using Drones
Ocean-Atmosphere Interactions in El Niño Prediction Models
Groundwater Depletion Trends in Arid Agricultural Zones
Biogeochemical Modeling of Coastal Hypoxia Events
Data-Driven Analysis of Wildfire Risk and Land Use Change
GeoAI for Identifying Land Cover Transformation in Urban Areas
Carbon Sequestration Potential of Biochar-Amended Soils
Analysis of Cloud Feedback Mechanisms in Climate Projections
Earthquake Risk Modeling Using GIS and Fault Line Data
Predicting Coral Bleaching Events with Sea Surface Temp Trends
Tectonic Plate Movement Visualization Using Real-Time GPS Feeds
Impact Assessment of Sea-Level Rise on Coastal Cities
Volcanic Ash Dispersion Models for Aviation Hazard Prevention
Soil Carbon Storage Estimation Using Deep Learning
Sustainability Metrics for Evaluating Climate Adaptation Policies
From Earth observation analytics to carbon cycle modeling, Collexa supports Stanford Earth System students with deep-dive data techniques, modeling tools, and publishing support.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
