
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
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regressionAbstract." Journal of Experimental Botany 72, no. 18 (2021): 6175-6189.
"A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regressionAbstract." Journal of Experimental Botany 72, no. 18 (2021): 6175-6189.
"A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regressionAbstract." Journal of Experimental Botany 72, no. 18 (2021): 6175-6189.
"Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration." Global Change Biology 27, no. 1 (2021): 13-26.
"Climate change and the permafrost carbon feedback." Nature 520, no. 7546 (2015): 171-179.
"Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada." Environmental Research Letters 11, no. 10 (2016).
"Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales." The Cryosphere 15, no. 5 (2021): 2451-2471.
"Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales." The Cryosphere 15, no. 5 (2021): 2451-2471.
"Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales." The Cryosphere 15, no. 5 (2021): 2451-2471.
"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.
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