Article (Scientific journals)
Analysis of the vegetation trends using low resolution remote sensing data in Burkina Faso (1982-1999) for the monitoring of desertification
Hountondji, Yvon-Carmen; Sokpon, N.; Ozer, Pierre
2006In International Journal of Remote Sensing, 27 (5-6), p. 871-884
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Keywords :
Desertification; Burkina Faso; low resolution remote sensing
Abstract :
[en] After about two decades of dramatic rainfall deficits that started in the late 1960s, the Sahel of West Africa has experienced increasing precipitation since the early 1990s. The implementation of the United Nations Convention to Combat Desertification (UNCCD) needs the identification of areas that record declining vegetation productivity over long-time periods. In this scope, we analyse the state of the vegetation productivity using long-term time series of NOAA AVHRR NDVI data and compare it to rainfall data. For this, 128 rain gauge data (RR) were compared with the integrated NDVI during the growing period (iNDVI) values in Burkina Faso from 1982 to 1999. During the analysed period, most of the studied stations in the country were stable for the iNDVI/RR (57.8%). However, 39.8% showed a weak to strong negative trend in the iNDVI/RR while only 2.4% showed a weak positive trend. These negative trends may reflect ongoing desertification processes in Burkina Faso and could be a starting point for the identification of hot-spots areas to determine where to take action to combat desertification.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Hountondji, Yvon-Carmen ;  Université de Liège - ULiège > Sciences agronomiques > Laboratoire de Toxicologie environnementale
Sokpon, N.
Ozer, Pierre ;  Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement
Language :
English
Title :
Analysis of the vegetation trends using low resolution remote sensing data in Burkina Faso (1982-1999) for the monitoring of desertification
Publication date :
March 2006
Journal title :
International Journal of Remote Sensing
ISSN :
0143-1161
eISSN :
1366-5901
Publisher :
Taylor & Francis Ltd, Abingdon, United Kingdom
Volume :
27
Issue :
5-6
Pages :
871-884
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 30 June 2009

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