Microsoft Word - 20120508_MMM3_Title_Page_Abstracts_A4_2May12.docx 164 Discrimination of mangrove vegetation habitat types (Northeast Brazil) using CBERS-2B images and the Normalized Difference Vegetation Index (NDVI) L.C.M. Santos1,2, M.D. Bitencourt1, N. Koedam3 & F. Dahdouh-Guebas2,3 1Laboratório de Ecologia da Paisagem e Conservação (LEPaC), Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo. Rua do Matão, Travessa 14, Cidade Universitária, São Paulo-SP, Brasil. E-mail: [email protected] 2Laboratory of Systems Ecology and Resource Management, Département de Biologie des Organismes, Faculté des Sciences, Université Libre de Bruxelles. Avenue Franklin D. Roosevelt 50, B-1050, Brussels, Belgium. 3Laboratory of Plant Biology and Nature Management, Mangrove Management Group, Faculteit Wetenschappen en Bio-ingenieurswetenschappen, Vrije Universiteit Brussel. Pleinlaan 2, B-1050 Brussels, Belgium. Abstract Mangrove forests constitute one of the major coastal vegetations of the (sub) tropics and have been widely studied by remote sensing. The images from the Brazil Earth Resources Satellite (CBERS) constitute a new and freely remote sense tool for the monitoring of mangroves. In this study we discriminated mangrove vegetation habitats of the São Francisco River Estuary (Northeast Brazil) and estimate their canopy closure using CBERS images and the normalized difference vegetation index (NDVI). The CBERS-2B images (2008) were pre- processed (radiometric, atmospheric and geometric corrections) and then, used to calculate the NDVI. Multiple classes of mangrove habitats were discriminated based on NDVI values, qualitative field data and visual interpretation of a high resolution (2.5 m) color composite of satellite images (CBERS-2B and SPOT-5). The canopy closure percent was estimated based on the minimum and maximum NDVI values recorded for the mangrove vegetation. Four habitat types within the mangrove vegetation were discriminated.