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vol.20 número3SISTEMA DE INFORMAÇÕES GEOGRÁFICAS NO APOIO AO GERENCIAMENTO DE OBSTÁCULOS À SUPERFÍCIE DE SEGMENTO VISUALUma abordagem de um projeto exerimental em georreferenciamento índice de autoresíndice de assuntospesquisa de artigos
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Boletim de Ciências Geodésicas

versão On-line ISSN 1982-2170

Resumo

BORGES, ELANE FIÚZA  e  SANO, EDSON EYJI. Temporal series of EVI from MODIS sensor for land use and land cover mapping of western Bahia. Bol. Ciênc. Geod. [online]. 2014, vol.20, n.3, pp.526-547. ISSN 1982-2170.  http://dx.doi.org/10.1590/S1982-21702014000200030.

Temporal series have enabled the identification of changes in land use and the discrimination of phytophysiognomies. This study aimed at using time series of enhanced vegetation index (EVI) of Terra Modis platform, filtered by the double logistics and minimum noise fraction (MNF) algorithms and classified by the spectral angle mapper (SAM) technique to map land use and land cover (LULC) classes from western Bahia. Representative time series of shrub Savanna, sparse Savanna, typical Savanna, dense Savanna, seasonal forest, dry forest, secondary vegetation, croplands and pasturelands were used as reference members in applying the SAM algorithm. The accuracy of mapping was analyzed by RapidEye satellite images and the Kappa's coefficient of agreement. The double logistics and the MNF filters reduced significantly the noise in the images. The classification discriminated all LULC classes (Kappa index = 0.8), however, there were, according to data available in the literature, underestimation of pasturelands and overestimation of typical Savanna. This study demonstrated the potential of time series of Modis sensor to discriminate representative LULC classes of western Bahia.

Palavras-chave : Vegetation Index; Savanna; Minimum Noise Fraction; Spectral Angle Mapper.

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