PhenoCam images from JERNOVEL2 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 Jornada Experimental Range 搭载的塔式数字摄像头（以下简称PhenoCams）所采集的重复数字图像组成。JER是PhenoCam网络的一员，该网络旨在长期、跨大陆尺度地作为物候观测站。图像每30分钟上传至PhenoCam服务器。存档的图像提供了一份永久记录，可进行视觉检查以确定任何时间点的植被物候状态。植被绿度指标（例如GCC），通过绿色通道与红色、绿色和蓝色通道之和的比率获得，作为植被绿度的代理。绿度指标可以通过简单的图像处理方法从图像中提取，时间间隔为1天或3天。本数据集对公众开放，可自由下载。请告知指定联系人任何使用数据集的计划。强烈建议与原始研究人员进行咨询或合作。利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、美国国家科学基金会宏观系统生物学项目（资助号EF-1065029）、美国能源部区域和全球气候建模项目（资助号DE-SC0016011）、美国国家公园管理局的清查与监测项目、美国国家物候网络（美国地质调查局资助号G10AP00129），并目前由美国农业部（USDA）农业研究服务局支持。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 Experimental Range由美国农业部（USDA）农业研究服务局支持。