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  • 标题:Vegetation density mapping in arid and semiarid lands from satellite images
  • 本地全文:下载
  • 作者:Akila Kemmouche ; Catherine Mering ; Boualem Sansal
  • 期刊名称:Science et changements planétaires / Sécheresse
  • 印刷版ISSN:1147-7806
  • 电子版ISSN:1777-5922
  • 出版年度:2008
  • 卷号:19
  • 期号:2
  • 页码:129-135
  • DOI:10.1684/sec.2008.0133
  • 出版社:John Libbey Eurotext
  • 摘要:Figures See all figures Authors Akila Kemmouche , Catherine Mering , Boualem Sansal Laboratoire de traitement d’images, Faculté d’électronique et d’informatique, Université des sciences et technologie Houari Boumédiène (USTHB), BP 32, Bab-Ezzouar, 16111 Alger Algérie, Laboratoire Pôle image, UFR GHSS, Case courrier 7001, Université Paris 7-Denis Diderot, 2, place Jussieu, 75251 Paris cedex 05 France Key words: cartography, desertification, satellite imaging and geomatics, space-time distribution, woody species, arid and semiarid zone DOI : 10.1684/sec.2008.0133 Page(s) : 129-35 Published in: 2008 In semiarid lands, ligneous vegetation cover tends to contract and concentrate within small topographic depressions under climatic stress. The vegetation density is a key indicator in environment change. In this context, maps of the spatial organisation of ligneous cover are relevant to estimate the stage of desertification over large areas. This paper presents a methodology based on morphological granulometry analysis for mapping the spatial organisation of ligneous cover in semi arid lands from satellite images. The final map obtained by classification of the pixels described by the values of granulometric densities can be considered as a map of the vegetation density. The proposed method has been applied using SPOT and Landsat TM data. The data cover pre-Saharan and Sahelian regions. These regions are characterised by different stages of ligneous covers.
  • 关键词:cartography; desertification; satellite imaging and geomatics; space-time distribution; woody species; arid and semiarid zone
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