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

Truckenbrodt, Sina C.; Schmullius, Christiane C.

doi:https://doi.org/10.5194/essd-10-525-2018

Articles | Volume 10, issue 1

https://doi.org/10.5194/essd-10-525-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-525-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

13 Mar 2018

| 13 Mar 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

Sina C. Truckenbrodt and Christiane C. Schmullius

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Final revised paper (published on 13 Mar 2018)
Preprint (discussion started on 12 Jul 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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SC1: 'Hyperspectral data processing', Andreas Hueni, 08 Sep 2017
- AC1: 'Response to SC1 'Hyperspectral data processing'', Sina C. Truckenbrodt, 15 Dec 2017
RC1: 'Interactive comment', Anonymous Referee #1, 13 Sep 2017
- AC2: 'Response to RC1', Sina C. Truckenbrodt, 15 Dec 2017
RC2: 'Review comment for manuscript titled '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'', Anonymous Referee #2, 30 Oct 2017
- AC3: 'Response to RC2', Sina C. Truckenbrodt, 15 Dec 2017

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.