Remote sensing is the science or art of acquiring information about an object or area without any physical contact with him. Applications using remote sensing products have shown that multispectral data of optical and microwave sensors have great potential for discrimination of patterns of use and land cover, geomorphology in the identification of wetland environments and details, especially the coastal areas (Pereira et al. 2003). The study area was chosen because it presents unique morphological characteristics of a delta off - paleodelta - and still be rented for this feature in the Atlantic coast of Amapa, which is still devoid of morphological studies and detailed mapping as compared to the rest Amazon coast, as the island of Marajo, northeastern and northwestern Pará Maranhão. In this work the main
objective is to identify and map the morphology of paleodelta this area of study as a tool using the digital integration of multisensor data, in the microwave (Radarsat) and optical (Landsat), and assess, qualitatively, the use of techniques Digital processing of Images from remote sensing sensors in identifying paleodelta study area. To achieve the main goal, the following methodological approach was employed: (a) analysis of product sensors (Landsat-7 ETM +, Radarsat-1 and SRTM) based on digital image processing, (b) data collection in the field, related to topography and recognition of features present in the area, and (3) from the
marriage of the products of remote sensing and field data, was developed morphological map of the study area. The digital processing of remote sensing images used in the study generated the following products: three scenes SAR speckle reduction effect and application of adaptive filter type Enhanced Frost, three colored compositions (7R5G3B, and 4R3G1B 5R3G2B) generated from the calculation the OIF (Optimum Index Factor), the product of the best triad OIF (the colored composition 7R4G3B), the product of technical PCA (Principal Component
Analysis) in six bands of ETM +, the product SPCA (Selective Principal Component
Analysis), hybrid products SAR fused with the best triad OIF and SAR in fusion with the best triad OIF and application enhancement by decorrelation, the product of fusion of SAR with the PCA, the product of the fusion of SAR with the SPCA and the product of a merger of three scenes SAR. Consequently the study of these visual features seven products, which comprise the paleodelta study area, were identified. They are: delta plain (subdivided into the flood plain and tidal flat muddy bottoms), paleochannel, meander bar, tidal bar, levees and tidal channel. The visual interpretation and evaluation of remote sensing products - about the effectiveness in detecting these features - took into account the requirements of chromaticity
and textural. It is noteworthy that most of these features is disabled or filled by sediments and poorly consolidated. Thus, it appears that products generated from the digital image processing of each sensor are less effective than the products generated from the integration of sensors when related to the identification of morphological features in the study area, because they are better discriminated products generated from mergers, thus emphasizing that the technique of image fusion with optical images, SAR is effective for discrimination of morphological features and mapping them.
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