Radar And Optical Hybrid Images To Improve
Geoenvironmental Mapping In Rio Grande Do
Norte State, Brazil
Author(s)
B. R. De Barros Pereira, V. E. Amaro & D. R. Valentim da Silva
Abstract
The northern littoral of the Rio Grande do Norte state is a region under a strong
dynamic influence concerning high energy coastal processes. These processes
are increased by antropic actions joining with natural processes that change the
natural landscape constantly. This area has lots of natural resources and it is very
important economically, therefore it has been a target of studies of the main
changes in the environmental aspects. In this context the geoenvironmental
mapping have been defined and are included according to their physical and
biological characteristics of the area and the territorial units that are linked to
them. The territorial units follow the geological, vegetation, land-use/land-cover
parameters. The geomorphology was the main parameter to define the
geoenvironmental units. The geoenvironmental units were mapped on 1:50.000
scale based on the remote sensing images interpretation, using the fusion of multi
sensor images (radar and optical). The images used were Radarsat-1, Landsat 5
TM (both from September 2006) and the SRTM from February 2000. The
purpose of this methodology was to attend new resources to mapping
geoenvironmental and their territorial units; previously each data has individual
characteristics (an optical image has a spectral response while radar image
provides textural and topographic data). The SRTM image was applied to
emphasize the altimetry and morphology of the area. The digital image
processing tools to integrate these data involved the precise registration,
geometric correction and fusion through RGB and HSI color. The hybrid images
created by these procedures was integrated and interpreted with the DEM
(Digital Elevation Model) to merge four parameters: texture, morphology,
spectral information and elevation in a single data. Then interpretation of the
Keywords
remote sensing, hybrid images, coastal dynamic, geoenvironmental and digital image process
Related Book
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