Andy Chamberlin

Drone and satellite mapping of landscapes and disease risk.

I'm a research data scientist at Stanford. I map where disease-carrying snails and mosquitoes live, and how water, plants and forests change across a landscape, from drone flights up to satellite imagery. On most projects I lead the analysis from raw imagery to finished maps, including the deep learning models that find tires and outline water plants. My work spans Senegal, Brazil, Costa Rica, Indonesia and Kenya, and I also shoot and edit photo and video from the field.

Drone mapping & spatial analysis

Mosquito and snail habitat, vegetation and water mapping, crop monitoring, terrain and drainage.

Satellite remote sensing & modeling

Regional risk maps, habitat and species models, statistical modeling, and scaling drone results up to satellite.

Computer vision & deep learning

Custom models that find objects and map land cover in drone and satellite images, from labeled examples to finished maps.

Projects

Pond edged with dense water plants near a village in northern Senegal

Snail habitat, Senegal

Mapping the water plants where schistosomiasis snails live along the Senegal River.

Irrigated fields along a channel in the Senegal River valley at sunrise

Rice and fish, Senegal

Estimating rice yield from drone and satellite imagery in fields stocked with fish.

Airborne lidar canopy height over Bornean rainforest: tree crowns in gray, a river in black

Forest canopy height, Borneo

Predicting rainforest height across Indonesian Borneo from free satellite data.

Image: Chamberlin et al. 2025, CC BY

Pile of tires outlined in red in a drone image of Makassar, Indonesia

Mosquito breeding sites

Finding discarded tires and trash, where dengue mosquitoes breed, in drone images from Indonesia, Kenya and Costa Rica.

Image: Hassan, Chamberlin et al. 2026, CC BY-NC

In the media

Get in touch: email