Agritrop
Accueil

A refined empirical line approach for reflectance factor retrieval from Landsat-5 TM and landsat-7 ETM+

Moran M. Susan, Bryant Ross, Thome K., Ni Wanmei, Nouvellon Yann, Gonzalez-Dugo M.P., Qi J., Clarke T.R.. 2001. A refined empirical line approach for reflectance factor retrieval from Landsat-5 TM and landsat-7 ETM+. Remote Sensing of Environment, 78 : 71-82.

Article de revue ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
541945.pdf

Télécharger (478kB) | Demander une copie

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : The recent launch of Landsat-7 ETM+ extends the uninterrupted stream of TM and ETM+ images to a potential span of 32 years. This exceptional image set will allow long-term studies of natural resources, but will require an operational method for converting image digital number (dn) to the temporally comparable surface reflectance factor (psa). A refinement to the empirical line (EL) approach for reflectance factor retrieval (RFR) from the Landsat-5 and -7 TM and ETM+ has been proposed. The refined empirical line (REL) approach requires only one within-scene calibration target, minimal field measurements of that target, and a reasonable estimate of dn for psX=0 using a radiative transfer model or values provided by this analysis. This study showed that the REL approach worked well for a 10-year Landsat-5 TM and Landsat-7 ETM+ image set in Arizona and psx was retrieved with an estimated accuracy of 0.01. A quantitative approach was proposed to determine the suitability of a within-scene target for the REL approach, and based on historical measurements, a variety of targets met the size and brightness requirements for the REL approach. This operational approach for RFR should encourage long-term investigations of natural resources to answer critical questions regarding resource management and effects of climate changes.

Classification Agris : U30 - Méthodes de recherche

Auteurs et affiliations

  • Moran M. Susan, USDA (USA)
  • Bryant Ross, USDA (USA)
  • Thome K., University of Arizona (USA)
  • Ni Wanmei, USDA (USA)
  • Nouvellon Yann, CIRAD-FORET-PLANTATIONS (COG) ORCID: 0000-0003-1920-3847
  • Gonzalez-Dugo M.P., USDA (USA)
  • Qi J., MSU (USA)
  • Clarke T.R., USDA (USA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/541945/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-12-22 ]