PhenoCam images from JERGRASSLAND2 site, Jornada Experimental Range, New Mexico, USA since 2022

This data set consists of repeat digital imagery from the tower-mounted digital cameras (hereafter, PhenoCams) at the Jornada Experimental Range. JER is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments.
This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement.
The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service.
This research is a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR and the Jornada Experimental Range are supported by the United States Department of Agriculture (USDA) Agricultural Research Service.

本数据集由位于Jornada实验站的塔顶数字摄像头（以下简称PhenoCams）重复拍摄的照片组成。JER是PhenoCam网络的一员，该网络旨在成为一项长期、跨大陆规模的物候观测站。图像每隔30分钟上传至PhenoCam服务器。存档图像构成了一个永久记录，可通过视觉检查确定植被在任何时间点的物候状态。植被绿色度指标（例如，GCC）通过绿色颜色带与红、绿、蓝颜色带总和的比率获得，可作为植被绿色度的代理。绿色度指标可通过简单图像处理方法从图像中提取，时间间隔为1天或3天。该数据集对公众开放，并可免费下载。请告知指定联系人任何使用数据集的计划。强烈建议与原始调查员进行咨询或合作。使用本数据集的出版物和数据产品必须包含适当的致谢。PhenoCam的开发得到了多个实体的支持，包括东北州研究合作组织、NSF的宏系统生物学计划（奖项EF-1065029）、DOE的区域和全球气候建模计划（奖项DE-SC0016011）、美国国家公园管理局的库存和监测计划、美国国家物候网络（来自美国地质调查局的资助编号G10AP00129），目前由美国农业部（USDA）农业研究服务局资助。本研究是长期农业生态系统研究（LTAR）网络的一项贡献。LTAR和Jornada实验站由美国农业部（USDA）农业研究服务局支持。