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dc.contributor.authorAnderson, Helen
dc.contributor.authorNilsen, Lennart
dc.contributor.authorTømmervik, Hans
dc.contributor.authorKarlsen, Stein Rune
dc.contributor.authorNagai, Shin
dc.contributor.authorCooper, Elisabeth J.
dc.date.accessioned2017-01-09T13:34:04Z
dc.date.available2017-01-09T13:34:04Z
dc.date.issued2016
dc.description.abstractTo 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. Unlike the other plant species/groups, C. tetragona experienced increased NDVI and GRVI values towards the end of the season. NDVI measured with active and passive sensors were strongly correlated (r2 > 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.en_US
dc.identifier.citationRemote Sensing 2016, 8(10)en_US
dc.identifier.cristinIDFRIDAID 1393448
dc.identifier.doi10.3390/rs8100847
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/10037/10113
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.projectIDNorges forskningsråd: 230970en_US
dc.relation.projectIDNorges forskningsråd: 246110en_US
dc.relation.projectIDAndre: EEA Norway-Polen Grant - WICLAP project, ID 198571en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480en_US
dc.subjectVDP::Mathematics and natural science: 400::Zoology and botany: 480en_US
dc.subjectNDVIen_US
dc.subjectgreenness indexen_US
dc.subjectRGB cameraen_US
dc.subjectvegetationen_US
dc.subjectphenologyen_US
dc.subjectactive sensoren_US
dc.subjectpassive sensoren_US
dc.subjectSvalbarden_US
dc.titleUsing Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetationen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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