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
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.
"Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamicsAbstract." Nature Communications 11, no. 1 (2020).
"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.
"Quantification of Arctic soil and permafrost properties using ground-penetrating radar and electrical resistivity tomography datasets." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 10 (2017): 4348-4359.
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