Mots-clés
Analyse spectrale ; Bibliographie ; Biomasse ; Ecosystème ; Forêt ; Image satellite ; Indice de végétation ; Traitement des données ; TélédétectionBibliography ; Biomass ; Data processing ; Ecosystem ; Forest ; Remote sensing ; Satellite imagery ; Spectral analysis ; Vegetation indexAnálisis espectral ; Bibliografía ; Biomasa ; Bosque ; Ecosistema ; Imagen satélite ; Teledetección ; Tratamiento de datos ; Índice de vegetaciónOptical remote sensing of forest leaf area index and biomass
Auteur(s) et Affiliation(s)Description :
This review focuses on the use of optical remote sensing in mapping leaf area index (LAI) and aboveground biomass for forests. Mapping of LAI started with location-specific empirical approaches and evolved to semi-empirical and biophysical approaches, which can be applied globally. At present, mapping biomass remains predominantly empirical because there is no direct physical relationship between reflected energy in visible, near or mid infrared wavelengths and biomass. Mapping biomass relies on the explicit or implicit mapping of forest structural parameters that are related to biomass allometrically. Although optical images have been successfully used in mapping biomass in low biomass areas, it remains a challenge to map biomass in forested areas with high biomass density due to signal saturation.
Type de document :
Article de périodique
Source :
Progress in physical geography, issn : 0309-1333, 2013, vol. 37, n°. 1, p. 98-113, nombre de pages : 16, Références bibliographiques : 5 p.
Date :
2013
Editeur :
Pays édition : Royaume-Uni, London, Sage Publications
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)