PhenoCam Images and Canopy Phenology at the Harvard Forest LPH Tower 2010-2021
收藏DataONE2023-12-12 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/414/2
下载链接
链接失效反馈官方服务:
资源简介:
The PhenoCam Network uses imagery from digital cameras to track vegetation phenology and seasonal changes in vegetation activity in diverse ecosystems across North America and around the world. Imagery is uploaded to the PhenoCam server at the University of New Hampshire, where it is made publicly available in near-real time, every 30 minutes from sunrise to sunset, 365 days a year. The data are processed using simple image analysis tools to yield a measure of canopy greenness, from which phenological metrics are extracted, characterizing the start and end of the growing season. These transition dates have been shown to align well with on-the-ground observations of tree phenology at Harvard Forest (HF003). Long-term PhenoCam data can be used to track the impact of climate variability and change on the rhythm of the seasons. This dataset contains one mid-day image for each camera. Please see the PhenoCam Network website (https://phenocam.nau.edu/webcam/) for more information and additional images.
物候相机网络(PhenoCam Network)利用数码相机采集的影像,追踪北美及全球多样生态系统中的植被物候与植被活动的季节变化。影像会被上传至新罕布什尔大学(University of New Hampshire)的物候相机服务器,并于每年365天内从日出到日落以每30分钟一次的频率近乎实时地向公众开放。研究团队通过简易图像分析工具对数据进行处理,得到冠层绿度指标,并从中提取物候指标,以表征植被生长季的起始与结束时刻。此类物候转换日期已被证实与哈佛大学森林(Harvard Forest,HF003)的树木物候实地观测结果高度吻合。长期物候相机数据可用于探究气候波动与气候变化对季节节律的影响。本数据集包含每台相机的一张正午影像。如需获取更多信息及额外影像,请访问物候相机网络官网(https://phenocam.nau.edu/webcam/)。
创建时间:
2023-12-12



