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

Kyzivat, E.D. and Smith, L.C. A closer look at the effects of lake area, aquatic vegetation, and double-counted wetlands on pan-Arctic lake methane emissions estimates. In press at Geophysical Research Letters.

Kyzivat, E.D., Smith, L.C., Garcia-Tigreros, F., Huang, C., Wang, C., Langhorst, T., Fayne, J.V., Harlan, M.E., Ishitsuka, Y., Feng, D., Dolan, W., Pitcher, L.H, Wickland, K.P., Dornblaser, M.M., Striegl, R.G., Pavelsky, T.M., Butman, D.E., and Gleason, C.J. (2022). The Importance of Lake Emergent Aquatic Vegetation for Estimating Arctic-Boreal Methane Emissions. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006635.

Lake and wetland mapping

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

Kyzivat, E.D., L. C. Smith, L.H Pitcher, J.V. Fayne, S.W. Cooley, M.G. Cooper, S.N. Topp, T. Langhorst, M. Harlan, C. Horvat, C. J. Gleason, T. M. Pavelsky (2019). A high-resolution airborne color-infrared camera water mask for the NASA ABoVE campaign. Remote Sensing 11.

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

The 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.

Kyzivat, E.D. and Smith, L.C. (2023). Contemporary and historical detection of small lakes using super resolution Landsat imagery: Promise and peril. GIScience & Remote Sensing, 60:1. 

Lezine, E.M., Kyzivat, E.D., Smith, L.C. (2021). Super-resolution surface water mapping on the Canadian Shield using Planet CubeSat images and a Generative Adversarial Network. Canadian Journal of Remote Sensing 47:2, 261-275. 

Super resolution demo

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