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Title: Benthic habitat mapping using multispectral high-resolution imagery: Evaluation of shallow water atmospheric correction techniques
Authors: Eugenio González, Francisco 
Marcello, Javier 
Rodríguez-Esparragón, Dionisio 
Martín Abasolo, Javier 
UNESCO Clasification: 2510 Oceanografía
120325 Diseño de sistemas sensores
Keywords: High-resolution imagery
Atmospheric models assessment
Sunglint correction
Coastal water ecosystem
Benthic mapping, et al
Issue Date: 2017
Journal: Sensors 
Abstract: Remote multispectral data can provide valuable information for monitoring coastal water ecosystems. Specifically, high-resolution satellite-based imaging systems, asWorldView-2 (WV-2), can generate information at spatial scales needed to implement conservation actions for protected littoral zones. However, coastal water-leaving radiance arriving at the space-based sensor is often small as compared to reflected radiance. In this work, complex approaches, which usually use an accurate radiative transfer code to correct the atmospheric effects, such as FLAASH, ATCOR and 6S, have been implemented for high-resolution imagery. They have been assessed in real scenarios using field spectroradiometer data. In this context, the three approaches have achieved excellent results and a slightly superior performance of 6S model-based algorithm has been observed. Finally, for the mapping of benthic habitats in shallow-waters marine protected environments, a relevant application of the proposed atmospheric correction combined with an automatic deglinting procedure is presented. This approach is based on the integration of a linear mixing model of benthic classes within the radiative transfer model of the water. The complete methodology has been applied to selected ecosystems in the Canary Islands (Spain) but the obtained results allow the robust mapping of the spatial distribution and density of seagrass in coastal waters and the analysis of multitemporal variations related to the human activity and climate change in littoral zones.
ISSN: 1424-8220
DOI: 10.3390/s17112639
Source: Sensors [ISSN 1424-8220], v. 17 (11), article number 2639
Rights: by-nc-nd
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