DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL

With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. In this paper a new multispectral image wavelength representation is introduced of the integrated Landsat Thematic Mapper TM and Spot HRV Pan data to establish river Tavares' Mangrove vegetation classification in Santa Catarina Island - Brazil. The combining of data from these different sensors is necessary for preserving spatial integrity of the higher-resolution data (PAN) set spectral information and of the lower resolution components in (TM). The fusion of these different data contributed to the understanding of the objects observed. Image fusion has many aspects to be looked at. First of all, the wavelength approach has been compared to hue-lightness-saturation (HIS) transformed image fusion technique and this has showed to possess the advantage of minimal distortion of the data spectral visible characteristic and the enhancement of spatial quality. It has exhibited the potential application of wavelength higher accuracy transformation for fusing spectral. In this study, mangrove's areas mapping were performed with an overall accuracy (Kappa) of 0.93 and this was possible because a good field knowledge