Articles | Volume 10, issue 10
Atmos. Meas. Tech., 10, 3919–3929, 2017
Atmos. Meas. Tech., 10, 3919–3929, 2017

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.

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Cited articles

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Castillo, E., Pereda, R., Manuel de Luis, J., Medina, R., and Viguri, J.: Sediment grain size estimation using airborne remote sensing, field sampling, and robust statistic, Environ. Monit. Assess., 181, 431–444, 2011.
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.