Abstract
To remotely monitor vegetation at temporal and spatial resolutions unobtainable with satellite-based systems, near remote sensing systems must be employed. To this extent we used Normalized Difference Vegetation Index NDVI sensors and normal digital cameras to monitor the greenness of six different but common and widespread High Arctic plant species/groups (graminoid/Salix polaris; Cassiope tetragona; Luzula spp.; Dryas octopetala/S. polaris; C. tetragona/D. octopetala; graminoid/bryophyte) during an entire growing season in central Svalbard. Of the three greenness indices (2G_RBi, Channel G% and GRVI) derived from digital camera images, only GRVI showed significant correlations with NDVI in all vegetation types. The GRVI (Green-Red Vegetation Index) is calculated as (GDN − RDN)/(GDN + RDN) where GDN is Green digital number and RDN is Red digital number. Both NDVI and GRVI successfully recorded timings of the green-up and plant growth periods and senescence in all six plant species/groups. Some differences in phenology between plant species/groups occurred: the mid-season growing period reached a sharp peak in NDVI and GRVI values where graminoids were present, but a prolonged period of higher values occurred with the other plant species/groups. In particular, plots containing C. tetragona experienced increased NDVI and GRVI values towards the end of the season. NDVI measured with active and passive sensors were strongly correlated (r > 0.70) for the same plant species/groups. Although NDVI recorded by the active sensor was consistently lower than that of the passive sensor for the same plant species/groups, differences were small and likely due to the differing light sources used. Thus, it is evident that GRVI and NDVI measured with active and passive sensors captured similar vegetation attributes of High Arctic plants. Hence, inexpensive digital cameras can be used with passive and active NDVI devices to establish a near remote sensing network for monitoring changing vegetation dynamics in the High Arctic.
Original language | English |
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Article number | 847 |
Journal | Remote Sensing |
Volume | 8 |
Issue number | 10 |
DOIs | |
Publication status | Published - 17 Oct 2016 |
Bibliographical note
We thank Mark Gillespie, Nanna Baggesen, and Anne Marit Vik for field assistance. The University in Svalbard (UNIS) provided logistical support. This work was funded by the Norwegian Research Council through the ‘SnoEco’ project (project No. 230970) and Arctic Field Grant (No. 246110/E10). It wassupported by the ESA Prodex project ‘Sentinel-2 for High North Vegetation Phenology’ (contract No. 4000110654), the EC FP7 collaborative project ‘Sentinels Synergy Framework’ (SenSyF), funding from The Fram Centre
Terrestrial Flagship, also from the EEA Norway Grants (WICLAP project, ID 198571), and from the GRENE Arctic Climate Change Research Project, Ministry of Education, Culture, Sports, Science and Technology in Japan.
Keywords
- NDVI
- greenness index
- RGB camera
- vegetation
- phenology
- active sensor
- passive sensor
- Svalbard