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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
doi: 10.5880/tr32db.39
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).
- University of Bonn Germany
- Helmholtz Association of German Research Centres Germany
- University of Cologne Germany
- Forschungszentrum Jülich Germany
Land Management, Nitrogen, Precipitation, Stem, Latent Heat Flux, CO2 Flux, Rapeseed, Soil, Harvest Residues, Spelt, Canopy Photosynthesis, Pressure, Winter Barley, Winter Wheat, Biomass, NEE, Vegetation, Radiation, Evapotranspiration, Atmosphere, Sensible Heat Flux, Temperature, Agriculture, Humidity, Soil Texture, Carbon, LAI, Surface Fluxes, Maize, Leaf, Root, Phenology, Fruit, Sugar Beet, Wind Velocity, Crop/s, Eddy Covariance, environment
Land Management, Nitrogen, Precipitation, Stem, Latent Heat Flux, CO2 Flux, Rapeseed, Soil, Harvest Residues, Spelt, Canopy Photosynthesis, Pressure, Winter Barley, Winter Wheat, Biomass, NEE, Vegetation, Radiation, Evapotranspiration, Atmosphere, Sensible Heat Flux, Temperature, Agriculture, Humidity, Soil Texture, Carbon, LAI, Surface Fluxes, Maize, Leaf, Root, Phenology, Fruit, Sugar Beet, Wind Velocity, Crop/s, Eddy Covariance, environment
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