Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016

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dc.contributor.author Peltoniemi, Mikko
dc.contributor.author Aurela, Mika
dc.contributor.author Bottcher, Kristin
dc.contributor.author Kolari, Pasi
dc.contributor.author Loehr, John
dc.contributor.author Karhu, Jouni
dc.contributor.author Linkosalmi, Maiju
dc.contributor.author Tanis, Cemal Melih
dc.contributor.author Tuovinen, Juha-Pekka
dc.contributor.author Arslan, Ali Nadir
dc.date.accessioned 2018-02-08T07:58:01Z
dc.date.available 2018-02-08T07:58:01Z
dc.date.issued 2018-01-25
dc.identifier.citation Peltoniemi , M , Aurela , M , Bottcher , K , Kolari , P , Loehr , J , Karhu , J , Linkosalmi , M , Tanis , C M , Tuovinen , J-P & Arslan , A N 2018 , ' Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016 ' , Earth system science data , vol. 10 , no. 1 , pp. 173-184 . https://doi.org/10.5194/essd-10-173-2018
dc.identifier.other PURE: 98462687
dc.identifier.other PURE UUID: 7d06be96-e8fe-4991-aca2-35aefee69d2f
dc.identifier.other WOS: 000423405800001
dc.identifier.other Scopus: 85041221233
dc.identifier.other ORCID: /0000-0001-7271-633X/work/41625103
dc.identifier.uri http://hdl.handle.net/10138/232159
dc.description.abstract In recent years, monitoring of the status of ecosystems using low-cost web (IP) or time lapse cameras has received wide interest. With broad spatial coverage and high temporal resolution, networked cameras can provide information about snow cover and vegetation status, serve as ground truths to Earth observations and be useful for gap-filling of cloudy areas in Earth observation time series. Networked cameras can also play an important role in supplementing laborious phenological field surveys and citizen science projects, which also suffer from observer-dependent observation bias. We established a network of digital surveillance cameras for automated monitoring of phenological activity of vegetation and snow cover in the boreal ecosystems of Finland. Cameras were mounted at 14 sites, each site having 1-3 cameras. Here, we document the network, basic camera information and access to images in the permanent data repository (http://www.zenodo.org/communities/phenology_camera/). Individual DOI-referenced image time series consist of half-hourly images collected between 2014 and 2016 (https://doi.org/10.5281/zenodo.1066862). Additionally, we present an example of a colour index time series derived from images from two contrasting sites. en
dc.format.extent 12
dc.language.iso eng
dc.relation.ispartof Earth system science data
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject DIGITAL REPEAT PHOTOGRAPHY
dc.subject DECIDUOUS BROADLEAF FOREST
dc.subject CARBON-DIOXIDE EXCHANGE
dc.subject NORTHERN BOREAL FEN
dc.subject CANOPY PHENOLOGY
dc.subject GROWING-SEASON
dc.subject NEAR-SURFACE
dc.subject COLOR
dc.subject ECOSYSTEMS
dc.subject METRICS
dc.subject 114 Physical sciences
dc.subject 1181 Ecology, evolutionary biology
dc.title Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016 en
dc.type Article
dc.contributor.organization Department of Physics
dc.contributor.organization Lammi Biological Station
dc.contributor.organization Micrometeorology and biogeochemical cycles
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.5194/essd-10-173-2018
dc.relation.issn 1866-3508
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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