LANDUSE/LANDCOVER PREDICTION USING REMOTE SENSING DATA AND LAND CHANGE MODELER (LCM) IN BANIKOARA DISTRICT, BENIN

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AuteurOREKAN, VINCENT OLADOKOUN AGNILA
AuteurADIMI, OLATONDJI S C
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2018
ResumeThe landuse/landcoverchange has important role in environmental changes. This study aims to analyze the trend in landuse and landcover (LULC) changes and simulate these changes by the horizon 2025 and 2050.The methodology is based on Landsat ETM+ and Landsat OLI-TIRS image segmentation after color composite using PIR, Red and Green bands (543 for OLI-TIRS and 432 for ETM+) and supervised classification using IDRISI Selva. The module LCM of IDRISI Selva was also used for landuse and landcover prediction. The LCM is based on Markov chain. The result reveals that in 2000 and 2013, the savannah and light forest considerably decrease in profit of farm and fallow land and this tendency will continue to 2050. The dense and gallery forest decrease also between 2000 and 2013 but they will increase between 2013 and 2050. That is justified by the presence of protected area.
Autre identifiantBECDB-9783
URIhttps://dspace.uac.bj/handle/123456789/8716
Languefr
Fait partie deLagos Journal of Geo-Information Sciences (LJGIS)
SujetLULC
SujetLand Change Modeler
SujetBanikoara
TitreLANDUSE/LANDCOVER PREDICTION USING REMOTE SENSING DATA AND LAND CHANGE MODELER (LCM) IN BANIKOARA DISTRICT, BENIN
TypeArticle

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