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- W4236429551 abstract "Abstract. In recent years, monitoring of the status of ecosystems using low-cost web (IP) or time lapse cameras has received wide interest. Networked cameras can provide information about snow cover and vegetation status with a broad spatial coverage and high temporal resolution, and 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 (see, https://doi.org/10.5281/zenodo.777952) in the permanent data repository (https://www.zenodo.org/communities/phenology_camera/). Individual DOI-referenced image time series from cameras are consisted of half-hourly images collected between 2014 and 2016. Additionally, we present example colour index time series derived from image time series from two contrasting sites." @default.
- W4236429551 created "2022-05-12" @default.
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- W4236429551 date "2017-08-10" @default.
- W4236429551 modified "2023-09-28" @default.
- W4236429551 title "Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014–2016" @default.
- W4236429551 doi "https://doi.org/10.5194/essd-2017-62" @default.
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