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Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision

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Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision

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Pardo Pascual, JE.; Almonacid Caballer, J.; Ruiz Fernández, LÁ.; Palomar-Vázquez, J. (2012). Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision. Remote Sensing of Environment. 123:1-11. doi:10.1016/j.rse.2012.02.024

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/58901

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Title: Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
A high precision geometric method for automated shoreline detection from Landsat TM and ETM+ imagery is presented. The methodology is based on the application of an algorithm that ensures accurate image geometric registration ...[+]
Subjects: Beach management , Coastal processes , Landsat images , Shoreline subpixel detection , Automatic extraction , Coastal process , Correction models , Descriptors , Error assessment , Geometric method , High precision , High-gain , High-resolution techniques , Land-cover types , Landsat imagery , LANDSAT TM , Maximum error , Mean errors , Multi-temporal image , Sub pixels , Subpixel detection , Subpixel precision , Algorithms , Normal distribution , Errors , Accuracy assessment , Beach nourishment , Error correction , Geomorphological response , Image resolution , Land cover , Landsat thematic mapper , Pixel , Precision , Probability , Reflectance , Satellite imagery , Shoreline
Copyrigths: Reserva de todos los derechos
Source:
Remote Sensing of Environment. (issn: 0034-4257 )
DOI: 10.1016/j.rse.2012.02.024
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.rse.2012.02.024
Thanks:
The authors appreciate the financial support provided by the Spanish Ministerio de Ciencia e Innovacion and the Spanish Plan E in the framework of the Projects CGL2009-14220-C02-01 and CGL2010-19591.
Type: Artículo

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