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).

本数据集为德国西部鲁尔河流域4处农业站点的野外实测数据，采集自跨地区合作研究中心32（Transregional Collaborative Research Centre 32，TR32）项目，该项目主题为“土壤-植被-大气系统模式：监测、建模与数据同化”。本数据集涵盖植被（状态与通量）、气象、土壤及农业管理四大类数据。其中植被类数据包含多种农作物的鲜、干生物量（分绿色与枯黄色组分，且多按器官统计）、株高、绿叶与枯黄叶面积指数（Leaf Area Index）、物候发育状态、碳氮含量，以及碳、能量与水汽通量。此外，数据集还纳入了收获残留物质量，以及主作物收获后或播种前的植被再生量。农业管理类数据涵盖播种与收获日期，以及耕作、施肥与农用化学品相关信息。本数据集同时包含经间隙填补的气象数据与土壤参数（粒径分布、碳氮含量）。该数据集可用于遥感产品的开发与验证。该数据集的详细说明可参见Reichenau等（2020）的研究成果。