Show simple item record

dc.contributor.authorColaninno, Nicola
dc.contributor.authorMarambio Castillo, Alejandro
dc.contributor.authorRoca Cladera, Josep
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
dc.identifier.citationColaninno, N.; Marambio, A.; Roca, J. Exploring a combined multispectral multitemporal approach as an effective method to retrieve cloudless multispectral imagery. "Journal of applied remote sensing", 16 Abril 2019, vol. 13, núm. 2, p. 024505:1-024505:24.
dc.description.abstractThe increasing availability of satellite information has improved Earth observation applications globally. However, primary satellite information is not as immediate as desirable. Indeed, besides the geometric and atmospheric limitations, clouds, cloud shadows, and haze generally contaminate optical imagery. Actually, such a contamination is intended as missing information and should be replaced. However, because the most common cloud masking algorithms take advantage by employing thermal images, here the objective is to provide an alternative algorithm suitable for multispectral imagery only. In addition, the work combines a multispectral/multitemporal approach as an effective method to retrieve daytime cloudless and shadow-free optical imagery. Experiment is undertaken upon mid- to low-spatial resolution data from Landsat 5 TM and Landsat 8 OLI, each for a different scene. A multitemporal stack, for the same image scene, is employed to retrieve a composite uncontaminated image over 1 year. The approach relies on a clouds and cloud shadows masking step, based on spectral features, a band-by-band multitemporal effect adjustment to avoid significant seasonal variations, and a data reconstruction phase based on automatic selection of the most suitable pixels from the stack. Results have been compared with a recognized masking algorithm approach and tested with uncontaminated image samples for the same scene. Accuracy and spectral features of the results provide high consistency.
dc.subjectÀrees temàtiques de la UPC::Urbanisme
dc.subject.lcshUrban heat island
dc.subject.otherEarth observation
dc.subject.otherMultispectral imagery
dc.subject.otherImage enhancement
dc.titleExploring a combined multispectral multitemporal approach as an effective method to retrieve cloudless multispectral imagery
dc.subject.lemacIlla de calor urbana
dc.contributor.groupUniversitat Politècnica de Catalunya. CPSV - Centre de Política de Sòl i Valoracions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorColaninno, N.; Marambio, A.; Roca, J.
local.citation.publicationNameJournal of applied remote sensing

Files in this item


This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder