Quality assessment and improvement of temporally composited products of remotely sensed imagery by combination of VEGETATION 1 and 2 images

Olivier Hagolle 1, * A. Lobo 2 P. Maisongrande 1 F. Cabot 1 B. Duchemin 1 A. De Pereyra 3
* Auteur correspondant
1 CESBIO - Centre d'études spatiales de la biosphère
2 Institut de Ciències de la Terra "Jaume Almera" (CSIC)
3 CNES - Centre National d'Etudes Spatiales
Abstract : Global temporal composites of surface reflectances are among the most commonly used products of wide field-of-view satellite-borne instruments such as the Advanced Very High Resolution Radiometer (AVHRR), the MODerate resolution Imaging Spectroradiometer (MODIS) and VEGETATION. The multi-temporal and spatial consistencies of these composites are key elements for their usefulness. In this paper, we use two different criteria to evaluate the quality of existing and new temporal composite products in SPOT–VEGETATION imagery. The first criterion, based on variograms, analyses the spatial characteristics of composite images, and the second one evaluates the quality of the time series based on the analysis of simultaneous imagery from VEGETATION 1 and VEGETATION 2. Thanks to these criteria, we show that the standard deviation of the errors that affect the surface reflectances of current composite products can be reduced by a factor greater than 2 using improved algorithms detailed in this paper. Finally, we produce multi-instrument composites by integrating images from both VEGETATION instruments to further improve the composite products.
keyword : VEGETATION AVHRR MODIS
Type de document :
Article dans une revue
Remote Sensing of Environment, Elsevier, 2005, 94 (2), pp.172-186. 〈10.1016/j.rse.2004.09.008〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger
http://hal.ird.fr/ird-00389597
Contributeur : Dominique Bruel <>
Soumis le : vendredi 29 mai 2009 - 15:03:30
Dernière modification le : mardi 29 mai 2018 - 12:50:24
Document(s) archivé(s) le : vendredi 11 juin 2010 - 00:01:04

Fichier

hagolle_et_al2004.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INSU | IRD | UNIV-TLSE3 | OMP | OMP-CESBIO

Citation

Olivier Hagolle, A. Lobo, P. Maisongrande, F. Cabot, B. Duchemin, et al.. Quality assessment and improvement of temporally composited products of remotely sensed imagery by combination of VEGETATION 1 and 2 images. Remote Sensing of Environment, Elsevier, 2005, 94 (2), pp.172-186. 〈10.1016/j.rse.2004.09.008〉. 〈ird-00389597〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

424

Téléchargements de fichiers

217

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD