Browsing Publikasjoner fra CRIStin - NINA by Subject "NDVI"
Now showing items 1-6 of 6
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Feasibility of active handheld NDVI sensors for monitoring of lichen ground cover
(Peer reviewed; Journal article, 2023)Vegetation indices are corner stones in vegetation monitoring. However, previous field studies on lichens and NDVI have been based on passive sensors. Active handheld sensors, with their own light sources, enables high- ... -
Impacts of snow season on ground-ice accumulation, soil frost andprimary productivity in a grassland of sub-Arctic Norway
(Peer reviewed; Journal article, 2015)Europe’s and the World’s northernmost agriculture is very vulnerable to harsh overwintering conditions. It is important from both an economic and societal standpoint to have accurate methods of predicting the severity ... -
Increased nationwide use of green spaces in Norway during the COVID-19 pandemic
(Peer reviewed; Journal article, 2023)In recent years, there has been growing concern about the decline in human green space use and nature-based recreation in Western countries. While some evidence suggests that the COVID-19 pandemic led to increased recreational ... -
Life-history attributes and resource dynamics determine intraspecific home-range sizes in Carnivora
(Peer reviewed; Journal article, 2015)Home ranges capture a fundamental aspect of animal ecology, resulting from interactions between metabolic demands and resource availability. Yet, the understanding of their emergence is currently limited by lack of ... -
Record-low primary productivity and highplant damage in the Nordic Arctic Region in2012 caused by multiple weather events andpest outbreaks
(Peer reviewed; Journal article, 2014)The release of cold temperature constraints on photosynthesis has led to increased productivity (greening) in significant parts (32–39%) of the Arctic, but much of the Arctic shows stable (57–64%) or reduced productivity ... -
Using ordinary digital cameras in place of near-infrared sensors to derive vegetation indices for phenology studies of high arctic vegetation
(Journal article; Peer reviewed, 2016)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 ...