PhenoCam images from ARSLTARMDCR site, Caroline County, Maryland, USA since 2017

This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL 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 was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.

本数据集由美国农业部-ARS水文遥感实验室（以下简称HRSL）在切萨皮克湾下流域（LCB）地区所维护的塔式数字摄像头（以下简称PhenoCam）拍摄的重复数字图像组成。HRSL是PhenoCam网络的成员，该网络的使命是作为一项长期、大陆尺度的物候观测站。图像每隔30分钟上传至PhenoCam服务器。存档的图像提供了一个永久记录，可通过视觉检查来确定任何时间点的植被物候状态。植被绿色度指标（例如，GCC），通过绿色波段与红色、绿色和蓝色波段总和的比率计算得出，作为植被绿色度的代理。绿色度指标可以通过简单的图像处理方法，以1天或3天的增量从图像中提取。本数据集向公众开放，并可自由下载。请告知指定的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。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，包括东北州立研究合作组织、美国国家科学基金会（NSF）的宏系统生物学项目（资助号EF-1065029）、美国能源部（DOE）的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库存监测项目、美国国家物候网络（来自美国地质调查局的资助号G10AP00129），并由美国农业部（USDA）农业研究服务局目前提供支持。本研究是长期农业生态系统研究（LTAR）网络的一项贡献。LTAR得到了美国农业部（USDA）农业研究服务局的支持。