Remote sensing for limnology
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. https://doi.org/10.1029/2023GL104825
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. https://doi.org/10.1029/2021JG006635
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. https://doi.org/10.3390/rs11182163
Geospatial data science / machine learning
The high-resolution satellite images above are generated from low-resolution originals using a neural network.
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. https://doi.org/10.1080/15481603.2023.2207288
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. https://doi.org/10.1080/07038992.2021.1924646
Super resolution demo