Current research

Remote sensing for limnology

The importance of Lake Littoral Zones to Arctic-Boreal Methane Emissions (B35G-1503): Accounting for littoral zones can increase lake methane emissions estimates by 12%

AGU 2021 poster

The Importance of Lake Emergent Aquatic Vegetation for Estimating Arctic-Boreal Methane Emissions Ethan D. Kyzivat,Laurence C. Smith,Fenix Garcia-Tigreros,Chang Huang,Chao Wang,Theodore Langhorst,Jessica V. Fayne,Merritt E. Harlan,Yuta Ishitsuka,Dongmei Feng,Wayana Dolan,Lincoln H Pitcher,Kimberly P. Wickland,Mark M. Dornblaser,Robert G. Striegl,Tamlin M. Pavelsky,David E. Butman,Colin J. Gleason

Read open-access paper at JGR: Biogeosciences

Wetland mapping

Watch a video of me explaining my research on Arctic wetlands at a Brown Graduate School TED-style talk.

Geospatial data science / machine learning

Generated super resolution (SR) image of surface water

The high-resolution satellite images above are generated from low-resolution originals using a neural network.

Super-Resolution Surface Water Mapping on the Canadian Shield Using Planet CubeSat Images and a Generative Adversarial Network Cartographie des eaux de surface à très haute résolution sur le Bouclier canadien à l’aide d’images Planet CubeSat et d’un réseau antagoniste génératif Ekaterina M. D. Lezine, Ethan D. Kyzivat & Laurence C. Smith

A first paper on this project is available from the Canadian Journal of Remote Sensing, complete with a French abstract for all the francophones out there.

Super resolution demo

Please view my CV or Google Scholar page for a complete and updated record.