Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation

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 was su...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Anderson, Helen B, Nilsen, Lennart, Tømmervik, Hans, Karlsen, Stein-Rune, Nagai, Shin, Cooper, Elisabeth
Other Authors: University of Aberdeen.Biological Sciences
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
NDVI
greenness index
RGB camera
vegetation
phenology
active sensor
passive sensor
Svalbard
QH301 Biology
QH301
Arctic
Climate change
UNIS
Online Access:http://hdl.handle.net/2164/7827
https://doi.org/10.3390/rs8100847
Description
Summary: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 was supported 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. Peer reviewed

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