A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

A collection of field data from four agricultural sites in the Rur catchment in Western Germany collected in the frame of the Transregional Collaborative Research Centre 32 “Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling and Data Assimilation” (TR32). The dataset includes data on vegetation (states and fluxes), weather, soil, and agricultural management. Vegetation-related data comprises fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content, and carbon-, energy- and water-fluxes for a variety of agricultural plants. In addition, masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop are included. Data on agricultural management includes sowing and harvest dates, and information on cultivation, fertilization and agrochemicals. The dataset also includes gap-filled weather data and soil parameters (particle size distributions, carbon and nitrogen contents). This data can be useful for development and validation of remote sensing products. A detailed description of the dataset can be found in Reichenau et al. (2020).

该数据集包含德国西部鲁尔河流域（Rur catchment）四个农业站点的野外数据，这些数据是在跨区域合作研究中心32（Transregional Collaborative Research Centre 32，TR32）“土壤-植被-大气系统中的模式：监测、建模与数据同化”项目框架下收集的。数据集涵盖植被（状态与通量）、气象、土壤及农业管理相关数据。植被相关数据包括多种农作物的鲜重与干重生物量（绿色与褐色，主要按器官划分）、株高、绿色与褐色叶面积指数、物候发育状态、氮与碳含量，以及碳、能量与水分通量。此外，数据集还包含收获残茬的质量，以及收获后或主作物种植前的植被再生情况。农业管理数据涉及播种与收获日期、耕作、施肥及农用化学品相关信息。数据集还包含填补空缺的气象数据（gap-filled weather data）和土壤参数（如粒径分布、碳与氮含量）。该数据集可用于遥感产品的开发与验证，其详细描述可参见Reichenau等人（2020）的研究。