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 soil governs whether climate change drives global losses or gains in soil carbon." Geophysical Research Letters 46, no. 24 (2019): 14486-14495.
"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.
"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.
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
"Iron (oxyhydr)oxides serve as phosphate traps in tundra and boreal peat soils." Journal of Geophysical Research: Biogeosciences 124, no. 2 (2019): 227-246.
"Modeling climate change impacts on an Arctic Polygonal Tundra: 2. Changes in CO2 and CH4 exchange depend on rates of permafrost thaw as affected by changes in vegetation and drainage." Journal of GeophysicalResearch: Biogeosciences 124, no. 5 (2019): 1323-1341.
"Spatial distribution of thermokarst terrain in Arctic Alaska." Geomorphology 273 (2016): 116-133.
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