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(Article of periodic en Anglais - 2013)

Document title

Optical remote sensing of forest leaf area index and biomass

Authors(s) and Affiliation(s)

SONG C. (1 2) ;
(1) Univ. of North Carolina, Chapel Hill, ETATS-UNIS
(2) Agricultural Univ., Anhui, CHINE

Abstract

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

Source

Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2013, vol. 37, no1 [pp. 98-113]

Bibliographic references : 5 p.

Language

Anglais

INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133312471367

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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