Agritrop
Home

A simple fusion method for image time series based on the estimation of image temporal validity

Bisquert Mar, Bordogna Gloria, Bégué Agnès, Candiani Gabriele, Teisseire Maguelonne, Poncelet Pascal. 2015. A simple fusion method for image time series based on the estimation of image temporal validity. Remote Sensing, 7 (1) : pp. 704-724.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Preview
Published version - Anglais
License CC0 1.0 Public Domain Dedication.
remotesensing-07-00704.pdf

Télécharger (3MB) | Preview

Quartile : Q1, Sujet : REMOTE SENSING

Abstract : High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two input images (H and L), which are weighted by their temporal validity to the image to be fused. The method was applied to two years (2009–2010) of Landsat and MODIS (MODerate Imaging Spectroradiometer) images that were acquired over a cropped area in Brazil. The fusion method was evaluated at global and local scales. The results show that the fused images reproduced reliable crop temporal profiles and correctly delineated the boundaries between two neighboring fields. The greatest advantages of the proposed method are the execution time and ease of use, which allow us to obtain a fused image in less than five minutes. (Résumé d'auteur)

Mots-clés Agrovoc : Télédétection, Satellite, Spectrométrie, Couverture végétale, Phénologie, séquestration du carbone, Changement climatique, forêt tropicale, Cartographie de l'occupation du sol, Végétation, Utilisation des terres, Plantation forestière, Biomasse, Eucalyptus

Mots-clés géographiques Agrovoc : Monde, Brésil, Australie

Classification Agris : U30 - Research methods
P01 - Nature conservation and land resources
K01 - Forestry - General aspects

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Bisquert Mar, IRSTEA (FRA)
  • Bordogna Gloria, CNR (ITA)
  • Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
  • Candiani Gabriele, CNR (ITA)
  • Teisseire Maguelonne, IRSTEA (FRA)
  • Poncelet Pascal, LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/578659/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-04-03 ]