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International Journal of Remote Sensing Volume 32, 2011 - Issue 7
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Original Articles

Temporal analysis of normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters to detect changes in the Iberian land cover between 1981 and 2001

Yves Julien Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, SpainCorrespondence[email protected]
,
Jose A. Sobrino Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Cristian Mattar Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Ana B. Ruescas Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Juan C. Jiménez-Muñoz Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Guillem Sòria Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Victoria Hidalgo Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Mariam Atitar Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
,
Belen Franch Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
&
Juan Cuenca Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071, Valencia, Spain
 show all
Pages 2057-2068 | Received 02 Sep 2008, Accepted 29 Oct 2009, Published online: 04 Apr 2011
 
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Abstract

In past decades, the Iberian Peninsula has been shown to have suffered vegetation changes such as desertification and reforestation. Normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters, estimated from data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard the National Oceanic and Atmospheric Administration (NOAA) satellite series, are particularly adapted to assess these changes. This work presents an application of the yearly land-cover dynamics (YLCD) methodology to analyse the behaviour of the vegetation, which consists of a combined multitemporal study of the NDVI and LST parameters on a yearly basis. Throughout the 1981–2001 period, trend analysis of the YLCD parameters emphasizes the areas that have endured the greatest changes in their vegetation. This result is corroborated by results from previous studies.

Acknowledgements

The authors wish to thank the TERMASAT project (Ministerio de Educación y Ciencia, project ESP2005-07724-C05-04) for their financial support.

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