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Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

机译:使用PhenoCam数据集2.0版跟踪不同生物群落的植被物候

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摘要

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 (). 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.
机译:监测植被物候对量化气候变化对生态系统的影响至关重要。我们提供了从PhenoCam网络图像中提取的1783个站点年的广泛数据集,这些数据来自393台数码相机,这些相机从热带到苔原,分布在植物的各种功能类型,生物群落和气候中。大多数相机位于北美。相机每半小时将图像上传到PhenoCam服务器。图像以接近实时的方式显示,临时数据产品(包括绿色色坐标(Gcc)的时间序列)可通过项目网页()公开获得。在摄像机视场中,针对每种工厂功能类型分别进行处理。这里描述的PhenoCam Dataset v2.0已经过全面处理和整理,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,评估土地表面模型的预测,解释生态系统规模的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。

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