Earth and amp; Environmental Sciences

Build a smartphone turbidity meter, calibrate it with standards, and map storm-driven sediment hotspots in local streams.

Model county-level emissions from crypto mining, compare grid mixes, and test how faster decarbonization changes the climate impact.

Build a flood model for an urban catchment, then test it against Sentinel-1 SAR maps and improve your calibration and validation skills.

Build a satellite-data project that detects volcanic SO₂ plumes, compares anomaly signals, and tests lead time before eruptions.

Measure how night light levels relate to moth diversity using image classification, field sampling, and environmental data analysis.

Map bird collision risk from glass buildings using public reports and Sentinel-2 data, then practice geospatial analysis and risk modeling.

Use Sentinel-5P data, matched filtering, and Bayesian models to map methane plumes and compare emission strength across facilities.

Analyze compound heat-wave and low-wind risk with CMIP6 data, then map future grid stress across US regions using climate statistics.

Build a data model that links air quality, weather, and symptoms to predict outdoor exercise risk for people with asthma.

Analyze Sentinel-2 NDWI and USGS gage data to test how beaver-dam analogs change stream baseflow with causal methods.