Land surface phenology observed by Near Surface Camera Network (NSCam)

This dataset presents land surface phenology observations captured by the Near Surface Camera Network (NSCam), a ground-based observation system deployed across diverse agricultural and terrestrial ecosystems in China. NSCam provides high-frequency (hourly) high-resolution RGB imagery to monitor fine-scale vegetation phenological dynamics, filling temporal gaps left by satellite remote sensing constrained by cloud cover and revisit cycles. The dataset contains Green Chromatic Coordinate (GCC) time series, which enable the detection of crop growth stages, abrupt land cover changes caused by extreme weather and human activities, as well as the extraction of phenological parameters. Integrated with satellite remote sensing data (e.g., Sentinel-2), it enhances the accuracy and temporal continuity of land surface phenology monitoring for climate-smart agriculture, ecosystem dynamic research, and land change analysis.本数据集收录了近地相机网络（Near Surface Camera Network, NSCam）所获取的地表物候观测数据。该地面观测系统部署于中国境内各类农业与陆地生态系统中，可提供高频次（每小时1次）的高分辨率RGB影像，用以监测精细尺度下的植被物候动态，填补了受云量覆盖与重访周期限制的卫星遥感数据所遗留的时间分辨率缺口。本数据集包含绿色色度坐标（Green Chromatic Coordinate, GCC）时间序列，可用于识别作物生育期、极端天气与人类活动引发的地表覆盖突变，同时支持物候参数的提取。将其与Sentinel-2等卫星遥感数据融合后，可提升气候智慧型农业、生态系统动态研究以及土地变化分析中地表物候监测的精度与时间连续性。