The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Castillo-López, Elena; Dominguez, Jose Antonio; Pereda, Raúl; de Luis, Julio Manuel; Pérez, Ruben; Piña, Felipe

doi:https://doi.org/10.5194/amt-10-3919-2017

Articles | Volume 10, issue 10

Atmos. Meas. Tech., 10, 3919–3929, 2017

https://doi.org/10.5194/amt-10-3919-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Atmos. Meas. Tech., 10, 3919–3929, 2017

https://doi.org/10.5194/amt-10-3919-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 10

Research article 24 Oct 2017

Research article | 24 Oct 2017

The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Elena Castillo-López et al.

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Final revised paper (published on 24 Oct 2017)
Preprint (discussion started on 28 Feb 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment', Anonymous Referee #3, 31 May 2017
- AC1: 'Response for Anonymous Referee #3', Elena Castillo-López, 07 Jun 2017
RC2: 'review', Anonymous Referee #4, 21 Jul 2017
- AC2: 'Response Anonymous Referee #4', Elena Castillo-López, 11 Aug 2017

Peer-review completion

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

AR by Anna Wenzel on behalf of the Authors (15 Aug 2017) Author's response Manuscript

ED: Publish as is (24 Aug 2017) by Alexander Kokhanovsky

Short summary

This work is part of a project funded by the government of Spain, whose objective was to develop a methodology that would allow the grain size and heavy metals estimation in the sediments of the intertidal zone (Bay of Santander) and depth estimation in the subtidal area, using information (VNIR) captured by the hyperspectral sensor, CASI-2, a spectroradiometer ASD-FR (350–2500 nm) in field and laboratory and classical and robust statistic algorithms.