inscription
Portail d'information géographique

Optical remote sensing of terrestrial ecosystem primary productivity

Auteur(s) et Affiliation(s)

SONG, C.
Univ. of North Carolina, Chapel Hill, Etats-Unis
Anhui Agricultural Univ., Chine
DANNENBERG, M.P.
Univ. of North Carolina, Chapel Hill, Etats-Unis
HWANG, T.
Univ. of North Carolina, Chapel Hill, Etats-Unis


Description :
This progress report reviews the theory and practice of mapping terrestrial primary productivity using optical remotely sensed data. Terrestrial ecosystem primary productivity is generally estimated with optical remote sensing via one of the following approaches : (1) empirical estimation from spectral vegetation indices; (2) models that are based on light-use-efficiency (LUE) theory; (3) models that are not based on LUE theory, but the biophysical processes of plant photosynthesis. Among these three, models based on LUE are the primary approach. At the same time, major efforts have been dedicated to mapping vegetation canopy biochemical composition via imaging spectroscopy for use in process-based models to estimating primary productivity. In so doing, optical remote sensing will continue to play a vital role in global carbon cycle science research.


Type de document :
Article de périodique

Source :
Progress in physical geography, issn : 0309-1333, 2013, vol. 37, n°. 6, p. 834-854, nombre de pages : 21, Références bibliographiques : 6 p.

Date :
2013

Editeur :
Pays édition : Royaume-Uni, London, Sage Publications

Langue :
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)