Near-surface vegetation monitoring in Adventdalen, Svalbard (Rack #4, 2015-2018)
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. The time-lapse photos have gone through a manual quality check...
Main Authors: | , , , |
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Format: | Dataset |
Language: | unknown |
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Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
2021
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Online Access: | https://dx.doi.org/10.21343/czvx-vg37 https://adc.met.no/datasets/10.21343/czvx-vg37 |
Summary: | 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. The time-lapse photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. A mask was used to calculate Green Chromatic Channel (GCC) from the photos. The NDVI data was quality controlled by removing outliers that were two standard deviations removed from the mean value of the growing season, and by removing dates where there was snow on the ground (as indicated by the time-lapse photos). In addition, soil and surface temperature and soil moisture were measured to facilitate the interpretation of shifts in the vegetation indices. |
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