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：2012
卷号：23
期号：3
页码：202-210
DOI：10.1684/sec.2012.0357
出版社：John Libbey Eurotext
摘要：Figures See all figures Authors Mondher Fetoui , Maud Loireau , Mongi Sghaier , Farah Chouikhi , Anne-Elisabeth Laques , Bouajila Essifi , Pierre Dérioz , Mohamed Tarhouni , Mounir Issaoui , Mohamed Ouessar , Houcine Tâamallah IRA El Fjé 4119 Médenine Tunisie, IRD UMR 228 ESPACE-DEV Maison de la télédétection Pôle IRD 500, rue J-F. Breton 34093 Montpellier cedex 05 France Key words: desertification, landscape, modelling, operational monitoring, remote sensing DOI : 10.1684/sec.2012.0357 Page(s) : 202-10 Published in: 2012 Developing models that can supply indicators which integrate socioeconomic and environmental dimensions with their spatial and temporal diversity, which deal with phenomena on a local scale, and which can be integrated into decision-making support systems remains a great challenge. It is, however, necessary in order to understand, spatialize, monitor, assess, and anticipate the complex dynamics of desertification. This article presents the imagined approach and the software platform prototype entitled SIELO (information system for operational desertification monitoring at the local scale) to address this scientific issue. This system attempts to create the link between i) spatialized indicators of desertification risks, built in connection with the systematic complexity of desertification and ii) observed Land Cover Change. The first type of data arises from systematic models already implemented in a pre-existing tool, the LEIS model. The second type of data is extracted from satellite images acquired according to regular time steps. The proposed approach is based on the spatializing of knowledge, via the “landscape” tool in particular. In this article we describe the proposed approach and its specificities that can lead to feeding operational assessment and monitoring of desertification within the framework of local scale observatories. We illustrate the feasibility and the operational effectiveness of its implementation with an initial application in a Tunisian dry zone via a developed software prototype (SIELO v1.0).
