English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/150322
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

Identification of Mangrove Areas by Remote Sensing: The ROC Curve Technique Applied to the Northwestern Mexico Coastal Zone Using Landsat Imagery

AutorAlatorre, L. C. ; Sánchez-Andrés, Raquel; Cirujano, Santos ; Beguería, Santiago ; Sánchez Carrillo, Salvador
Fecha de publicación25-jul-2011
EditorMultidisciplinary Digital Publishing Institute
CitaciónRemote Sensing 3 (8): 1568-1583 (2011)
ResumenIn remote sensing, traditional methodologies for image classification consider the spectral values of a pixel in different image bands. More recently, classification methods have used neighboring pixels to provide more information. In the present study, we used these more advanced techniques to discriminate between mangrove and non‑mangrove regions in the Gulf of California of northwestern Mexico. A maximum likelihood algorithm was used to obtain a spectral distance map of the vegetation signature characteristic of mangrove areas. Receiver operating characteristic (ROC) curve analysis was applied to this map to improve classification. Two classification thresholds were set to determine mangrove and non-mangrove areas, and two performance statistics (sensitivity and specificity) were calculated to express the uncertainty (errors of omission and commission) associated with the two maps. The surface area of the mangrove category obtained by maximum likelihood classification was slightly higher than that obtained from the land cover map generated by the ROC curve, but with the difference of these areas to have a high level of accuracy in the prediction of the model. This suggests a considerable degree of uncertainty in the spectral signatures of pixels that distinguish mangrove forest from other land cover categories.
Versión del editorhttp://doi.org/10.3390/rs3081568
URIhttp://hdl.handle.net/10261/150322
DOI10.3390/rs3081568
Identificadoresdoi: 10.3390/rs3081568
Aparece en las colecciones: (MNCN) Artículos
(EEAD) Artículos
(IPE) Artículos
(RJB) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
remotesensing-03-01568.pdf625,66 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.