Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-53
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
12 Jul 2017
Review status
This discussion paper is under review for the journal Earth System Science Data (ESSD).
Evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and other satellite-aided retrieval models
Sina C. Truckenbrodt and Christiane C. Schmullius Fernerkundung, Institut für Geographie, Friedrich–Schiller–Universität Jena, Löbdergraben 32, 07743 Jena, Germany
Abstract. Ground reference data are a prerequisite for the calibration, update and validation of retrieval models facilitating the monitoring of land parameters based on Earth Observation data. Here, we describe the acquisition of a comprehensive ground reference 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 (winter barley, winter wheat, spring wheat, durum, winter rape, potato and sugar beet) cultivated on the agricultural Gebesee test site, central Germany, in 2013 and 2014. The database contains information on hyperspectral surface reflectance, the evolution of biophysical and biochemical plant parameters, phenology, surface conditions, atmospheric states, and a set of ground control points. Ground reference data was gathered with an approximately weekly resolution and on different spatial scales to investigate variations within and between acreages. In situ data collected less than 1 day apart from satellite acquisitions (RapidEye, SPOT5, Landsat-7 and -8) with a cloud coverage ≤ 25 % is available for 10 and 16 days in 2013 and 2014, respectively. The measurements show that the investigated growing seasons were characterized by distinct meteorological conditions causing interannual variations in the parameter evolution. In the article, the experimental design of the field campaigns, and methods employed in the determination of all parameters are described in detail. Insights into the database are provided and potential fields of application are discussed. We hope these data will contribute to a further development of crop monitoring methods based on remote sensing techniques. The database is freely available at PANGAEA (doi:10.1594/PANGAEA.874251).

Citation: Truckenbrodt, S. C. and Schmullius, C. C.: Evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and other satellite-aided retrieval models, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-53, in review, 2017.
Sina C. Truckenbrodt and Christiane C. Schmullius
Sina C. Truckenbrodt and Christiane C. Schmullius

Data sets

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
S. C. Truckenbrodt and J. Baade
https://doi.org/10.1594/PANGAEA.874251
Sina C. Truckenbrodt and Christiane C. Schmullius

Viewed

Total article views: 78 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
59 18 1 78 2 2

Views and downloads (calculated since 12 Jul 2017)

Cumulative views and downloads (calculated since 12 Jul 2017)

Viewed (geographical distribution)

Total article views: 78 (including HTML, PDF, and XML)

Thereof 78 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 27 Jul 2017
Download
Short summary
A comprehensive ground reference database for the set-up and validation of models for the satellite-aided retrieval of crop characteristics is presented. Data on the evolution of biophysical and biochemical plant parameters were collected for seven crop types on the Gebesee test site (central Germany) in 2013 and 2014. Field work was carried out on a weekly basis and close to satellite acquisitions. The data reflects spatial heterogeneity and interannual phenological variability.
A comprehensive ground reference database for the set-up and validation of models for the...
Share