From field data to finished science
The Fossett Lab runs surveys by drone, lidar, and satellite, analyzes data through automated pipelines, and delivers finished, citable results through an open catalog. We provide compute and AI model pipelines for a wide range of science — bring a question or problem and see how we can help.
The Fossett Lab collects geospatial data with drones, laser scanners, GNSS receivers, satellite imagery, and other methods. We process those data through automated pipelines into finished products such as orthomosaics, classified point clouds, digital terrain models, and other analyses.
The lab also provides computation and AI inference pipelines for work beyond geospatial science. Domains include seismology, hydrology, materials, and genomics, on data we collect or data brought to us. We set up and provide the computational and cloud infrastructure so investigators can focus on the science.
Our data are published in an open catalog in standard formats, and we provide XR and other visualization services for scientific applications.
What we do
Four stages, from field surveys to published results. Each is available on its own or end to end.
01
Collect
Drone surveys, terrestrial laser scanning, GNSS, total stations, and ground-penetrating radar — run end-to-end by lab staff, or by collaborators we train.
Explore Collect →02
Process
Raw field data become research-ready products — photogrammetric reconstruction, orthomosaics, and point clouds — through reproducible, automated pipelines.
Explore Process →03
Analyze
Deep-learning segmentation and classification, GIS workflows, and statistical analysis, delivered as version-controlled code with methods documentation.
Explore Analyze →04
Share
Publication figures, interactive 3D viewers, XR experiences, and an open data catalog with programmatic STAC access.
Explore Share →Positioning
cm-scale with PPK correction
Lidar
Sub-canopy penetration
Multispectral
5-band imaging
Data catalog
Open, STAC-compliant
From the field to discovery
Collection, processing, analysis, and delivery, handled end-to-end by lab staff. Open to WashU researchers, external collaborators, and industry partners.
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