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Truckenbrodt, Sina C; Baade, Jussi (2017): Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2013 and 2014. PANGAEA, https://doi.org/10.1594/PANGAEA.874251, Supplement to: Truckenbrodt, Sina C; Schmullius, Christiane C (2018): Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models. Earth System Science Data, 10(1), 525-548, https://doi.org/10.5194/essd-10-525-2018

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Abstract:
Ground reference data are a prerequisite for the calibration, update and validation of land data assimilation systems facilitating large-scale crop monitoring based on Earth Observation data. Here, we provide a comprehensive database which was elaborated to test and validate the recently developed Earth Observation Land Data Assimilation System (EO-LDAS). In situ data was collected for seven crop types cultivated on the agricultural Gebesee test site (central Germany) in 2013 and 2014, i.e., winter barley, winter wheat, spring wheat, durum, winter rape, potato and sugar beet. The database contains information on the evolution of biophysical and biochemical plant parameters, phenology, leaf structure, soil moisture, atmospheric states and illumination conditions. In addition, surface reflectance was recorded with a field spectrometer. Data was collected with an approximately weekly resolution throughout the growing season. In addition, it was attempted to schedule days of field work according to the acquisition plans of RapidEye, SPOT5, Landsat 7 and 8, and on days with a high probability of low cloud coverage. Data was collected on up to three elementary sampling units (ESUs) per acreage. ESUs represent squares with a diagonal length of 24 m and consist of five secondary sampling points (SSPs). This experimental design permits an assessment of spatio-temporal variations of the investigated parameters. Coordinates of survey sites, nearby ground control points (GCPs) and check points (CPs) were recorded with a differential Global Navigation Satellite System (dGNSS) which supports accurate geo-referencing of satellite images. The experimental design of the field campaigns, methods employed in the determination of all parameters, and meteorological conditions in the measurement period are described in detail in Truckenbrodt & Schmullius, 2017.
Related to:
Truckenbrodt, Sina C (2019): Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2016. PANGAEA, https://doi.org/10.1594/PANGAEA.903827
Coverage:
Median Latitude: 51.092600 * Median Longitude: 10.916991 * South-bound Latitude: 51.070600 * West-bound Longitude: 10.895750 * North-bound Latitude: 51.108160 * East-bound Longitude: 10.930440
Date/Time Start: 2013-04-20T00:00:00 * Date/Time End: 2014-10-29T11:11:00
Comment:
Funding for the set-up of this dataset by the German Federal Ministry of Economic Affairs and Energy via the research project “Application of the EO-LDAS Prototype and Database to Prepare Sentinel-2 Assimilation” (grant: 50EE1307) is gratefully acknowledged.
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13 datasets

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Datasets listed in this publication series

  1. Truckenbrodt, SC; Baade, J (2017): Agricultural Gebesee test site (central Germany): extent and location of acreages investigated in 2013 and 2014. https://doi.org/10.1594/PANGAEA.874249
  2. Truckenbrodt, SC; Baade, J (2017): Agricultural Gebesee test site (central Germany): ground control points and supplementing check points in the vicinity of the test site. https://doi.org/10.1594/PANGAEA.874247
  3. Truckenbrodt, SC; Baade, J (2017): Classification error of fractional vegetation cover from senescent material in the central Thuringian Basin in the middle of Germany. https://doi.org/10.1594/PANGAEA.874144
  4. Truckenbrodt, SC; Baade, J (2017): Data on the evolution of plant physiological, soil and atmospheric parameters collected on the agricultural Gebesee test site (central Germany) in 2013. https://doi.org/10.1594/PANGAEA.874158
  5. Truckenbrodt, SC; Baade, J (2017): Data on the evolution of plant physiological, soil and atmospheric parameters collected on the agricultural Gebesee test site (central Germany) in 2014. https://doi.org/10.1594/PANGAEA.874235
  6. Truckenbrodt, SC; Baade, J (2017): Mean and standard deviation of hyperspectral surface reflectance acquired on the agricultural Gebesee test site (central Germany) in 2013. https://doi.org/10.1594/PANGAEA.874243
  7. Truckenbrodt, SC; Baade, J (2017): Mean and standard deviation of hyperspectral surface reflectance acquired on the agricultural Gebesee test site (central Germany) in 2014. https://doi.org/10.1594/PANGAEA.874245
  8. Truckenbrodt, SC; Baade, J (2017): Phenology photos from the agricultural Gebesee test site (central Germany) in 2013. https://doi.org/10.1594/PANGAEA.874698
  9. Truckenbrodt, SC; Baade, J (2017): Phenology photos from the agricultural Gebesee test site (central Germany) in 2014. https://doi.org/10.1594/PANGAEA.874699
  10. Truckenbrodt, SC; Baade, J (2017): Photos of the landscape of the agricultural Gebesee test site (central Germany) in 2013. https://doi.org/10.1594/PANGAEA.874700
  11. Truckenbrodt, SC; Baade, J (2017): Photos of the landscape of the agricultural Gebesee test site (central Germany) in 2014. https://doi.org/10.1594/PANGAEA.874703
  12. Truckenbrodt, SC; Baade, J (2017): Sky photos from the agricultural Gebesee test site (central Germany) in 2013. https://doi.org/10.1594/PANGAEA.874250
  13. Truckenbrodt, SC; Baade, J (2017): Sky photos from the agricultural Gebesee test site (central Germany) in 2014. https://doi.org/10.1594/PANGAEA.874697