NDVI, GCC, soil and surface temperature, and soil water content data from Adventdalen, Svalbard. This data was collected with a time-lapse RGB camera and NDVI sensor installed on a two meter high metal rack to monitor tundra vegetation.
Lennart Nilsen, Frans-Jan W. Parmentier, Hans Tømmervik, Elisabeth J. Cooper, Near-surface vegetation monitoring in Adventdalen, Svalbard (Rack #3, 2015-2018), (2021) published by Department of Arctic and Marine Biology, UiT – The Arctic University of Norway. https://doi.org/10.21343/9cvd-1b32
NDVI, GCC, soil and surface temperature, and soil water content data from Adventdalen, Svalbard. This data was collected with a time-lapse RGB camera and NDVI sensor installed on a two meter high metal rack to monitor tundra vegetation.
Lennart Nilsen, Frans-Jan W. Parmentier, Hans Tømmervik, Elisabeth J. Cooper, Near-surface vegetation monitoring in Adventdalen, Svalbard (Rack #2, 2015-2018), (2021) published by Department of Arctic and Marine Biology, UiT – The Arctic University of Norway. https://doi.org/10.21343/z7sn-pq96
NDVI, GCC, soil and surface temperature, and soil water content data from Adventdalen, Svalbard. This data was collected with a time-lapse RGB camera and NDVI sensor installed on a two meter high metal rack to monitor tundra vegetation.
Lennart Nilsen, Frans-Jan W. Parmentier, Hans Tømmervik, Elisabeth J. Cooper, Near-surface vegetation monitoring in Adventdalen, Svalbard (Rack #1, 2015-2018), (2021) published by Department of Arctic and Marine Biology, UiT – The Arctic University of Norway. https://doi.org/10.21343/qghe-bf19
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Thomas Lavergne, Antarctic sea-ice drift vectors using a S2S (swath-to-swath) approach., (2020) published by Norwegian Meteorological Institute. https://doi.org/10.21343/0asd-6t60
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Thomas Lavergne, Arctic sea-ice drift vectors using a S2S (swath-to-swath) approach., (2020) published by Norwegian Meteorological Institute. https://doi.org/10.21343/q1e3-1489
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Thomas Lavergne, Antarctic sea-ice drift vectors using a DM (daily-maps) approach., (2020) published by Norwegian Meteorological Institute. https://doi.org/10.21343/yfj4-2528
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Thomas Lavergne, Arctic sea-ice drift vectors using a DM (daily-maps) approach., (2020) published by Norwegian Meteorological Institute. https://doi.org/10.21343/dts5-bf20
This is a collection of observations from several moored buoys in the Norwegian archipelago and fjords.
Birgitte Rugaard Furevik, Lasse Lønseth, Anette Lauen Borg, Vegar Neshaug, Magne Gausen, Oceanographic observations for the Coastal Highway E39 project in Mid-Norway, (2016) published by The Norwegian Meteorological Institute. https://doi.org/10.21343/ef2d-jp97
This is a collection of high-frequency observations of wind speed and wind directions in several tall masts for the Coastal Highway E39 bridge project in Mid-Norway.
Birgitte R. Furevik, Hálfdán Ágústsson, Anette Lauen Borg, Finn Nyhammer, The E39 coastal highway observational dataset – atmospheric flow in complex coastal terrain in Mid-Norway, (2019) published by Norwegian Meteorological Institute. https://doi.org/10.21343/z9n1-qw63
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