Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
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DOI：
10.1038/s41597-019-0229-9
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发表时间：
2019-10-22
期刊：
影响因子：
9.8
通讯作者：
Richardson, Andrew D.
中科院分区：
文献类型：
--
作者：
Seyednasrollah, Bijan;Young, Adam M.;Richardson, Andrew D.
植被物候监测是量化气候变化对生态系统影响的关键。我们提供了一个广泛的数据集，包括1783个站点年的物候数据，这些数据来自393台数码相机的PhenoCam网络图像，从热带到苔原，涵盖了广泛的植物功能类型、生物群落和气候。大多数摄像机位于北美。每隔半小时，摄像头就会向PhenoCam服务器上传图像。图像以近乎实时的方式显示，临时数据产品，包括绿色色度坐标（Gcc）的时间序列，可通过该项目的网页（https://phenocam.sr.unh.edu/webcam/gallery/）公开获取。对相机视场中的每种植物功能类型分别进行处理。这里描述的PhenoCam数据集v2.0已经过全面处理和策划，包括异常值检测和专家检查，以确保高质量的数据。该数据集可用于验证卫星数据产品，评估陆地表面模型的预测结果，解释生态系统尺度CO2和H2O通量数据的季节性，以及研究气候变化对陆地生物圈的影响。
Monitoring vegetation phenology is critical for quantifying climate change impacts on ecosystems. We present an extensive dataset of 1783 site-years of phenological data derived from PhenoCam network imagery from 393 digital cameras, situated from tropics to tundra across a wide range of plant functional types, biomes, and climates. Most cameras are located in North America. Every half hour, cameras upload images to the PhenoCam server. Images are displayed in near-real time and provisional data products, including timeseries of the Green Chromatic Coordinate (Gcc), are made publicly available through the project web page (https://phenocam.sr.unh.edu/webcam/gallery/). Processing is conducted separately for each plant functional type in the camera field of view. The PhenoCam Dataset v2.0, described here, has been fully processed and curated, including outlier detection and expert inspection, to ensure high quality data. This dataset can be used to validate satellite data products, to evaluate predictions of land surface models, to interpret the seasonality of ecosystem-scale CO2 and H2O flux data, and to study climate change impacts on the terrestrial biosphere.