Recent droughts and the impact on land use and land cover in the Iberian Peninsula: A spatiotemporal analysis based on the vegetation temperature condition index

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Abstract

In the Iberian Peninsula, precipitation mainly falls during autumn and winter and is marked by large space and time variability. Therefore, the Peninsula has large areas prone to drought. This study aims to analyse spatiotemporal drought patterns in the Iberian Peninsula based on the Vegetation Condition Temperature Index (VTCI) and to investigate the response of land cover types towards droughts during spring and summer seasons from 2001 to 2005 and in 2007 and 2010 (highly dry and wet years). VTCI is a remote sensing drought index and uses information on vegetation activity (Normalized Differenced Vegetation Index - NDVI) and Land Surface Temperature (LST). VTCI overcomes problems that may arise when NDVI is solely used for drought monitoring. The inter-annual VTCI course shows a typical Mediterranean pattern that is particularly influenced by the relief. The land cover types most prone to drought are agricultural surfaces, and the most resilient ones are forests.

Original languageEnglish
Title of host publication13th International Multidisciplinary Scientific Geoconference and EXPO - GeoConference on Informatics, Geoinformatics and Remote Sensing, SGEM 2013
PublisherInternational Multidisciplinary Scientific Geoconference
Pages669-678
Number of pages10
Volume2
ISBN (Print)9789549181890
DOIs
Publication statusPublished - 1 Jan 2013
Event13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013 - Albena, Bulgaria
Duration: 16 Jun 201322 Jun 2013

Conference

Conference13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013
CountryBulgaria
CityAlbena
Period16/06/1322/06/13

Keywords

  • Drought
  • Land cover
  • LST
  • NDVI
  • VTCI

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  • Cite this

    Mühlbauer, S., Caetano, M., & Costa, A. C. (2013). Recent droughts and the impact on land use and land cover in the Iberian Peninsula: A spatiotemporal analysis based on the vegetation temperature condition index. In 13th International Multidisciplinary Scientific Geoconference and EXPO - GeoConference on Informatics, Geoinformatics and Remote Sensing, SGEM 2013 (Vol. 2, pp. 669-678). International Multidisciplinary Scientific Geoconference. https://doi.org/10.5593/SGEM2013/BB2.V2/S10.017