All-sky photogrammetry techniques to georeference a cloud field

Crispel, Pierre; Roberts, Gregory

doi:https://doi.org/10.5194/amt-11-593-2018

Articles | Volume 11, issue 1

https://doi.org/10.5194/amt-11-593-2018

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

https://doi.org/10.5194/amt-11-593-2018

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

Articles | Volume 11, issue 1

Research article

|

31 Jan 2018

Research article |

| 31 Jan 2018

All-sky photogrammetry techniques to georeference a cloud field

Pierre Crispel and Gregory Roberts

Download

Final revised paper (published on 31 Jan 2018)
Preprint (discussion started on 31 Aug 2017)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Reviewer comment', Anonymous Referee #2, 26 Sep 2017
- AC2: 'response to referee 2', pierre crispel, 24 Nov 2017
RC2: 'Reviewer Comment', Anonymous Referee #1, 28 Sep 2017
- AC1: 'Response to referee 1', pierre crispel, 24 Nov 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by pierre crispel on behalf of the Authors (08 Dec 2017) Author's response Manuscript

ED: Publish as is (13 Dec 2017) by Mark Weber

Short summary

In this study, we use an all-sky stereo camera network to perform geolocation of individual elements of a cloud field in order to track individual clouds and estimate some of their morphological characteristics and their evolution in time. Furthermore, this allows use of cloud geolocation for cloud airborne measurements. For example, in the case of instrumented UAVs, the GPS coordinates of the target cloud may be communicated in real time to the autopilot.