NGEE Arctic
Next-Generation Ecosystem Experiments
Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Publications
] "Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
"Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets." Remote Sensing 8, no. 9 (2016): 733.
"Convolutional neural network approach for mapping Arctic vegetation using multi-sensor remote sensing fusion." 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017): 770-778.
"Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska." Scientific Data 5 (2018): 180058.
"Polygonal tundra geomorphological change in response to warming alters future CO2 and CH4 flux on the Barrow Peninsula." Global Change Biology 21, no. 4 (2015): 1634-1651.
"Reduced arctic tundra productivity linked with landform and climate change interactions." Scientific Reports 8, no. 1 (2018).
"Polygonal tundra geomorphological change in response to warming alters future CO2 and CH4 flux on the Barrow Peninsula." Global Change Biology 1, no. 4 (2014): 1634-1651.
"Permafrost thaw and resulting soil moisture changes regulate projected high-latitude CO2 and CH4 emissions." Environmental Research Letters 10, no. 9 (2015).
"Enhancing terrestrial ecosystem sciences by integrating empirical modeling approaches." Eos, Transactions, American Geophysical Union 93, no. 25 (2012): 237.
"A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska." The Cryosphere 13 (2019): 2853-2867.