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Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery / M. Ji in Geocarto international, vol 17 n° 1 (March - May 2002)  

Public [article]  inGeocarto international > vol 17 n° 1 (March - May 2002) . - pp 21 - 30 Titre : Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery Type de document : Article/Communication Auteurs : M. Ji, Auteur Année de publication : 2002 Article en page(s) : pp 21 - 30 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Afrique (géographie politique) [Termes IGN] écosystème [Termes IGN] flore locale [Termes IGN] image multibande [Termes IGN] image multitemporelle [Termes IGN] image NOAA-AVHRR [Termes IGN] logique floue [Termes IGN] modélisation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] télédétection spatiale Résumé : (Auteur) Conventional methods of deriving global or continental vegetation maps from the National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVHRR) time series data are based on two-value Boolean logic, which cannot properly model the so-called ecotone, the transition zone between adjacent ecosystems. New methods and data models that have been developed on the basis of fuzzy logic to address the "mixedpixel " issue in multi-spectral imagery can also be used with multi-temporal imagery to handle the mixture of vegetation types within an ecotone. This study introduces the concept of semantic space and its transformation from spectral feature space, which utilizes a fuzzy logic approach to characterize the continuum of vegetation communities in the African continent from AVHRR multi-temporal (12 months for three years from 1986 to 1988) NDVI data. The fuzzy procedure was based an the Fuzzy c-Means (FCM) algorithm with significant modifications to improve processing speed for handling large volumes of data. A second-order mapping approach was also devised to explicitly represent subdominant vegetative coverage in ecotones and other heterogeneous regions. Comparisons between a Sub-Saharan African Vegetation Map compiled by the International Union for Conservation of Nature (IUCN) in 1986 and the maps derived from this study demonstrated that fuzzy modeling and classification might provide a better and more realistic representation of the vegetative characteristics of the region. Numéro de notice : A2002-121 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542222 En ligne : https://doi.org/10.1080/10106040208542222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22036 [article]

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