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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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

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
Author: Peltoniemi, Mikko; Aurela, Mika; Bottcher, Kristin; Kolari, Pasi; Loehr, John; Karhu, Jouni; Linkosalmi, Maiju; Tanis, Cemal Melih; Tuovinen, Juha-Pekka; Arslan, Ali Nadir
Contributor organization: Department of Physics
Lammi Biological Station
Micrometeorology and biogeochemical cycles
Date: 2018-01-25
Language: eng
Number of pages: 12
Belongs to series: Earth system science data
ISSN: 1866-3508
DOI: https://doi.org/10.5194/essd-10-173-2018
URI: http://hdl.handle.net/10138/232159
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.
Subject: DIGITAL REPEAT PHOTOGRAPHY
DECIDUOUS BROADLEAF FOREST
CARBON-DIOXIDE EXCHANGE
NORTHERN BOREAL FEN
CANOPY PHENOLOGY
GROWING-SEASON
NEAR-SURFACE
COLOR
ECOSYSTEMS
METRICS
114 Physical sciences
1181 Ecology, evolutionary biology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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