five

The PeatPic project: Predicting plot-scale green leaf phenology across peatlands

收藏
DataONE2025-10-13 更新2025-10-18 收录
下载链接:
https://search.dataone.org/view/sha256:00d913ccc24b2a2e63b2a552ca57ccce7152c3d3abec786c8cd96e3e0d02e362
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset comprises standardized plot-scale photographs and associated metadata collected from 42 peatland research sites during the 2021 and 2022 growing seasons. Using the PeatPic protocol, participants photographed dominant vegetation communities weekly to bi-weekly from pre-growth through senescence, capturing seasonal dynamics across bog, fen, and swamp ecosystems. Metadata includes vegetation type, microform, site characteristics, and disturbance history. RGB imagery was analyzed using the Phenopix R package to derive a greenness index, and seasonal trajectories were modeled using a Gaussian function to estimate the timing and magnitude of peak greenness. These data support cross-site comparisons of peatland green leaf phenology (GLP) and facilitate broader investigations into vegetation responses to climate and disturbance. , Using the standardized PeatPic protocol, participants collected nadir-view photographs (0.036–1 m² plots) of dominant vegetation communities at 27 peatland research sites. Photographs were taken weekly to bi-weekly throughout the growing season and into autumn, under consistent lighting (auto white balance, overcast or clear skies, no shadows). Plots (4–12 per site) were either permanent or temporarily marked. Each site used a single camera or phone model. Metadata collected for each plot included peatland type, dominant vegetation group, microform type, experimental treatments, tree cover, permafrost presence, and disturbance history. RGB images were analysed using the Phenopix R package (v2.4.4; Filippa et al. 2016). Greenness Index was calculated as GDN / (RDN + GDN + BDN), omitting images with snow or standing water. Regions of interest were delineated using DrawROI and greenness indices extracted per pixel with Extract VIs. A Gaussian model was fitted to greenness values by day-of-..., # The PeatPic project: Predicting plot-scale green leaf phenology across peatlands Dataset DOI: [10.5061/dryad.cz8w9gjgp](https://doi.org/10.5061/dryad.cz8w9gjgp) ## Description of the data and file structure Between 2021 and 2022, researchers and volunteers from the peatland research community collected standardized, plot-scale photographs (0.036–1 m²) of dominant vegetation at various peatland sites using the *PeatPic* protocol. Each site included 4–12 plots that were either permanent monitoring points or temporarily marked areas. Photos were taken weekly or bi-weekly from directly above the vegetation throughout the growing season, under consistent lighting conditions, using a single camera type per site. Alongside each photo, participants recorded key environmental details such as peatland type (bog, fen, swamp), vegetation community (e.g., feather moss-, Sphagnum-, graminoid- or shrub-dominated), microform (hummock, lawn, hollow), tree cover, permafrost presence, and disturbanc...,
创建时间:
2025-10-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作