Articles | Volume 13, issue 24
https://doi.org/10.5194/bg-13-6545-2016
https://doi.org/10.5194/bg-13-6545-2016
Research article
 | 
15 Dec 2016
Research article |  | 15 Dec 2016

Crop water stress maps for an entire growing season from visible and thermal UAV imagery

Helene Hoffmann, Rasmus Jensen, Anton Thomsen, Hector Nieto, Jesper Rasmussen, and Thomas Friborg

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (08 Nov 2016) by Paul Stoy
AR by Helene Hoffmann on behalf of the Authors (08 Nov 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (18 Nov 2016) by Paul Stoy
AR by Helene Hoffmann on behalf of the Authors (26 Nov 2016)  Author's response    Manuscript
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Short summary
This study investigates whether the UAV (drone) based WDI can determine crop water stress from fields with open canopies (land surface consisting of both soil and canopy) and from fields where canopies are starting to senesce. This utility could solve issues that arise when applying the commonly used CWSI stress index. The WDI succeeded in providing accurate, high-resolution estimates of crop water stress at different growth stages of barley.
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