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. Reichenau, T. G., Korres, W., Schmidt, M., Graf, A., Welp, G., Meyer, N., Stadler, A., Brogi, C., & Schneider, K. Earth System Science Data, 12(4):2333–2364, October, 2020.
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 [link]Paper  doi  abstract   bibtex   
Abstract. The development and validation of hydroecological land-surface models to simulate agricultural areas require extensive data on weather, soil properties, agricultural management, and vegetation states and fluxes. However, these comprehensive data are rarely available since measurement, quality control, documentation, and compilation of the different data types are costly in terms of time and money. Here, we present a comprehensive dataset, which was collected at four agricultural sites within the Rur catchment in western Germany in the framework of the Transregional Collaborative Research Centre 32 (TR32) “Patterns in Soil–Vegetation–Atmosphere Systems: Monitoring, Modeling and Data Assimilation”. Vegetation-related data comprise 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 (overall \textgreater 17 000 entries), and masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop (\textgreater 250 entries). Vegetation data including LAI were collected in frequencies of 1 to 3 weeks in the years 2015 until 2017, mostly during overflights of the Sentinel 1 and Radarsat 2 satellites. In addition, fluxes of carbon, energy, and water (\textgreater 180 000 half-hourly records) measured using the eddy covariance technique are included. Three flux time series have simultaneous data from two different heights. Data on agricultural management include sowing and harvest dates as well as information on cultivation, fertilization, and agrochemicals (27 management periods). The dataset also includes gap-filled weather data (\textgreater 200 000 hourly records) and soil parameters (particle size distributions, carbon and nitrogen content; \textgreater 800 records). These data can also be useful for development and validation of remote-sensing products. The dataset is hosted at the TR32 database (https://www.tr32db.uni-koeln.de/data.php?dataID=1889, last access: 29 September 2020) and has the DOI https://doi.org/10.5880/TR32DB.39 (Reichenau et al., 2020).
@article{reichenau_comprehensive_2020,
	title = {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}},
	volume = {12},
	issn = {1866-3516},
	url = {https://essd.copernicus.org/articles/12/2333/2020/},
	doi = {10.5194/essd-12-2333-2020},
	abstract = {Abstract. The development and validation of hydroecological
land-surface models to simulate agricultural areas require extensive data
on weather, soil properties, agricultural management, and vegetation states
and fluxes. However, these comprehensive data are rarely available since
measurement, quality control, documentation, and compilation of the different
data types are costly in terms of time and money. Here, we present a
comprehensive dataset, which was collected at four agricultural sites within
the Rur catchment in western Germany in the framework of the Transregional
Collaborative Research Centre 32 (TR32) “Patterns in
Soil–Vegetation–Atmosphere Systems: Monitoring, Modeling and Data
Assimilation”. Vegetation-related data comprise 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 (overall {\textgreater} 17 000 entries), and masses of harvest residues
and regrowth of vegetation after harvest or before planting of the main crop
({\textgreater} 250 entries). Vegetation data including LAI were collected in
frequencies of 1 to 3 weeks in the years 2015 until 2017, mostly
during overflights of the Sentinel 1 and Radarsat 2 satellites. In addition,
fluxes of carbon, energy, and water ({\textgreater} 180 000 half-hourly
records) measured using the eddy covariance technique are included. Three
flux time series have simultaneous data from two different heights. Data on
agricultural management include sowing and harvest dates as well as information
on cultivation, fertilization, and agrochemicals (27 management periods). The
dataset also includes gap-filled weather data ({\textgreater} 200 000 hourly
records) and soil parameters (particle size distributions, carbon and
nitrogen content; {\textgreater} 800 records). These data can also be useful
for development and validation of remote-sensing products. The dataset
is hosted at the TR32 database
(https://www.tr32db.uni-koeln.de/data.php?dataID=1889, last access: 29 September 2020) and has the DOI
https://doi.org/10.5880/TR32DB.39 (Reichenau et al., 2020).},
	language = {en},
	number = {4},
	urldate = {2022-11-02},
	journal = {Earth System Science Data},
	author = {Reichenau, Tim G. and Korres, Wolfgang and Schmidt, Marius and Graf, Alexander and Welp, Gerhard and Meyer, Nele and Stadler, Anja and Brogi, Cosimo and Schneider, Karl},
	month = oct,
	year = {2020},
	pages = {2333--2364},
}
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