%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture non répertoriées par l'AERES
%A Thao Do
%A Bigot, S.
%A Galle, Sylvie
%T Vegetation activity in the upper Oueme basin (Benin, Africa) studied from SPOT-VGT (2002-2012) according to land cover
%D 2014
%L fdi:010068408
%G ENG
%J International Journal of Remote Sensing Applications
%@ 2226-4361
%K COUVERT VEGETAL ; EVOLUTION ; DONNEES SATELLITE ; SATELLITE SPOT ; ANALYSE STATISTIQUE ; ANALYSE EN COMPOSANTES PRINCIPALES ; VARIATION SAISONNIERE ; VARIATION INTERANNUELLE ; FORET CLAIRE ; SAVANE ; SOL CULTIVE
%K 2002 2012
%K BENIN
%N 3
%P 121-133
%R 10.14355/ijrsa.2014.0403.02
%U https://www.documentation.ird.fr/hor/fdi:010068408
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers16-10/010068408.pdf
%V 4
%W Horizon (IRD)
%X Signs of climate change in West Africa over the last few decades are among the significant observed in the tropics, in particular the decrease in mean annual precipitation. Although such change has brought about new eco-climatic constraints on vegetation forms, it has not proven easy to determine interannual and intra-seasonal variations on a regional scale for major vegetation forms, whether natural or highly artificial as a result of human activities. The present study analyzes vegetation activity via a Normalized Difference Vegetation Index (NDVI) defined from ten-day SPOT-VGT data (one-km resolution, covering the period from 2002 to 2012) in the African Monsoon Multidisciplinary Analysis (AMMA) Program observation zone, located in the Upper Oueme River Basin in Benin. The statistical analysis is mainly based on a multifactor approach allowing approximately 54% of interannual NDVI variations to be accounted for. Results show that spatio-temporal NDVI variability in the River Basin is highly dependent on land use, be it forest, wooded savanna, farmland or areas undergoing conversion.
%$ 082VEGET01 ; 126TELAPP08