Centre de documentation
scientifique

Estimation of interannual variation in productivity of global vegetation using NDVI data / Z.M. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 16 (August 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 16 (August 2004) . - pp 3139 - 3159 Titre : Estimation of interannual variation in productivity of global vegetation using NDVI data Type de document : Article/Communication Auteurs : Z.M. Chen, Auteur ; I.S. Babiker, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 3139 - 3159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] bilan du carbone [Termes IGN] biosphère [Termes IGN] changement climatique [Termes IGN] dioxyde de carbone [Termes IGN] forêt tempérée [Termes IGN] forêt tropicale [Termes IGN] image NOAA-AVHRR [Termes IGN] impact sur l'environnement [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] production primaire nette [Termes IGN] répartition géographique [Termes IGN] variation saisonnière Résumé : (Auteur) The interannual variation of global vegetation net primary production (NPP), which is crucial to understanding the role of terrestrial biosphere in the global carbon cycle, is still poorly understood. Currently, remote sensing emerges as a useful tool for estimating NPP through monitoring global vegetation distribution and growth. The objective of this study was to utilize the multi-year monthly Normalized Difference Vegetation Index (NDVI) dataset of 1987-1997 from the Advanced Very High Resolution Radiometer (AVHRR) to investigate the interannual variation in productivity of global vegetation due to climate variation, human activities, and environmental events. A decision tree algorithm based on simple metrics (minimum, maximum, mean and amplitude) was employed to classify the global vegetation from NDVI data and obtain the annual vegetation growth areas. Then, annual NPP was computed using the annual vegetation growth areas and the predefined NPP coefficients given in a 1990 Intergovernmental Panel on Climate Change (IPCQ) report. The NPP exhibited a slightly increasing trend through the 11 years. However, interannual variations were observed to be mainly determined by variation in growth of tropical and temperate evergreen forests. These fluctuations were consistently correlated to El Niño/La Niña events. Although the interannual variation in primary productivity of global vegetation is expected to influence the atmospheric C02 concentration over the one-decade period, it is unlikely to have solely caused the anomalously low growth in 1992-1993. The adopted methodology enabled close examination of variability in vegetation growth at the biome scale as well as at global scale. Numéro de notice : A2004-301 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116032000160435 En ligne : https://doi.org/10.1080/0143116032000160435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26828 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04141	RAB	Revue	Centre de documentation	En réserve L003	Disponible