Mots-clés
Années 1980-2009 ; Biogéographie ; Changement climatique ; Dynamique de la végétation ; Image satellite ; Impact ; Indice de végétation ; Modèle ; Précipitation ; Série chronologique ; Température ; Thailande du Nord-Est ; Thaïlande ; Télédétection ; Variabilité climatique ; VégétationBiogeography ; Climatic change ; Climatic variability ; Impact ; Model ; Northeast Thailand ; Precipitation ; Remote sensing ; Satellite imagery ; Temperature ; Thailand ; Time series ; Vegetation ; Vegetation dynamics ; Vegetation indexBiogeografía ; Cambio climático ; Dinámica de la vegetación ; Imagen satélite ; Impacto ; Modelo ; Precipitación ; Serie cronológica ; Tailandia ; Teledetección ; Temperatura ; Variabilidad climática ; Vegetación ; Índice de vegetaciónVegetation greenness modeling in response to climate change for Northeast Thailand
Auteur(s) et Affiliation(s)
THAVORNTAM, W.
Dept. of Environmental Engineering, Univ., Khon Kaen, Thailande
TANTEMSAPYA, N.
Dept. of Environmental Engineering, Univ., Khon Kaen, Thailande
Research Center for Environmental and Hazardous Substance Management, Univ., Khon Kaen, Thailande
Description :
The AA. investigated the seasonal variation of vegetation greenness based on the Normalized Difference Vegetation Index (NDVI) in the region. NDVI data were collected from year 2001 to 2009 using multi-temporal Terra MODIS Vegetation Indices Product (MOD13Q1). NDVI profiles were developed to measure vegetation dynamics and variation according to land cover types. Meteorological information for a 30 year time span from 1980 to 2009 was analyzed for their patterns. Furthermore, the data taken from the period of 2001–2009, were digitally encoded into GIS database and the spatial patterns of monthly rainfall and temperature maps were generated based on kriging technique. The results showed a decreasing trend in NDVI values for both deciduous and evergreen forests. The highest productivity and biomass were observed in dry evergreen forests and the lowest in paddy fields. A vegetation greenness model was developed from correlations between NDVI and meteorological data using linear regression. The model could be used to observe the change in vegetation greenness and dynamics affected by temperature and rainfall.
Type de document :
Article de périodique
Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2013, vol. 23, n°. 6, p. 1052-1068, nombre de pages : 17, Références bibliographiques : 30 ref.
Date :
2013
Editeur :
Pays édition : Chine
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)