Using long term NOAA-AVHRR NDVI time-series data for desertification monitoring in south Tunisia

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

Volumn , Issue , 2008, Pages

  Elmzoughi, Amor ^a   Zribi, Mehriz ^b   Abdelfattah, Riadh ^a   Belhadj, Ziad ^a  

^a UNIVERSITY OF CARTHAGE   (Tunisia)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; COMMUNICATION; FINANCIAL DATA PROCESSING; FOOD PROCESSING; REGRESSION ANALYSIS; SULFATE MINERALS;

CONFIDENCE INTERVAL; DESERTIFICATION MONITORING; INFORMATION AND COMMUNICATION TECHNOLOGIES; INTERNATIONAL CONFERENCES; LONG TERM; NDVI TIME-SERIES; NOAA-AVHRR; PRECIPITATION DATA; TUNISIA;

TECHNOLOGY;

EID: 49149093271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTTA.2008.4530034     Document Type: Conference Paper

References (10)

1. International Report to United Nations Convention to Combat Desertification : www.uncc.int/cop/reports/centraleu/international/2006/ international-eng.pdf.
2. Liu, A.X.; Liu, Z.J.; Wang, C.Y.; Niu, Z.; Yan, D.M., Monitoring of desertification in central Asia and western China using long term NOAA-AVHRR NDVI time-series data, Geoscience and Remote Sensing Symposium, 2003.
3. Eklundh, L. et Olsson, L., Vegetation index trends for the African Sahel 1982-1999, Geophysical Research Letters, 30, 10.1029/2002GL016772, 2003.
4. Floret, C.; Pontarier, L'aridite en Tunisie : climat, sol, vgtation et amnagement, ORSTOM, Paris, 1962.
5. Milich, L. et Weiss, E., GAC NDVI interannual coefficient of variation (CoV) images: ground truth sampling of the Sahel along north-south transects, International Journal of Remote Sensing, 21 : 235-260, 2000a.
6. Hall, F. G., Townshend, J. R., and Engman, E. T., Status of remote sensing algorithms for estimation of land surface state parameters, Remote Sensing of Environment, 51(1), pp. 138-156., 1995.
7. Holben, B.N., and Shimabukuro, Y. E., Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors, International Journal of Remote Sensing, 14(11), pp. 2231-2240, 1993.
8. Moody, A., and Strahler, A. H., Characteristics of composited AVHRR data and problems in their classification., International Journal of Remote Sensing, 15(17), pp. 3473-3491, 1994.
9. Defries, R. S., Hansen, M. C., and Townshend, J. R. G., Global continuous fields of vegetation characteristics: a linear mixture model applied to multi-year 8 km AVHRR data., International Journal of Remote Sensing, 21(6 and 7), pp. 1389-1414,2000.
10. Khatteli, H., Contribution a l'etude de la dynamique des dunes dans les parcours du sud tunisien., Actes du sminaire IRA/UNESCO sur les problemes de l'erosion eolienne dans les zones prdsertiques. pp : 21-33.