Artificial intelligence/machine learning and remote sensing reveals over six decades of surface-water dynamics in Alaska with connections to climate change.

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    W[2019AGUFM.H43N2259P]
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ADS bibcode
2019AGUFM.H43N2259P
year
2019
Listed Authors
Pastick, N. J.
Jorgenson, T.
Cooley, S. W.
Trochim, E.
Jones, B. M.
Wylie, B. K.
Genet, H.
Minsley, B. J.
Walvoord, M. A.
Listed Institutions
KBR, contractor to the USGS Earth Resources Observation Science Center, Sioux Falls, SD, United States
Alaska Ecoscience, Fairbanks, AK, United States
Brown University, Providence, RI, United States
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, United States
Water and Environmental Research Center, Institute of Northern Engineering, University of Alaska, Fairbanks, Fairbanks, AK, United States
USGS EROS, Sioux Falls, SD, United States
Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United States
USGS Geology, Geophysics, and Geochemistry Science Center, Denver, CO, United States
Earth System Processes Division, USGS Water Cycle Branch, Lakewood, CO, United States

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