Radar and optical hybrid images to improve geoenvironmental mapping in Rio Grande do Norte state, Brazil
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 r...
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description | 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 |
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R ; AMARO, V. E ; VALENTIM DA SILVA, D. R</creator><creatorcontrib>DE BARROS PEREIRA, B. R ; AMARO, V. E ; VALENTIM DA SILVA, D. R</creatorcontrib><description>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. 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Maps ; Coastal processes ; Digital Elevation Models ; Digital imaging ; Earth sciences ; Earth, ocean, space ; Elevation ; Environmental aspects ; Environmental changes ; Exact sciences and technology ; Geologic maps, cartography ; Geomorphology ; Image processing ; Internal geophysics ; Land cover ; Land use ; Landsat ; Landsat satellites ; Landscape ; Littoral environments ; Mapping ; Marine and continental quaternary ; Mathematical morphology ; Morphology ; Natural resources ; Parameters ; Radar ; Radar imaging ; Radarsat ; Remote sensing ; Remote sensors ; Satellite imagery ; Spectral sensitivity ; Surficial geology</subject><ispartof>Transactions on ecology and the environment, 2011-01, Vol.149, p.111-122</ispartof><rights>2015 INIST-CNRS</rights><rights>2011. 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R</creatorcontrib><title>Radar and optical hybrid images to improve geoenvironmental mapping in Rio Grande do Norte state, Brazil</title><title>Transactions on ecology and the environment</title><description>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. 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Maps</subject><subject>Coastal processes</subject><subject>Digital Elevation Models</subject><subject>Digital imaging</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Elevation</subject><subject>Environmental aspects</subject><subject>Environmental changes</subject><subject>Exact sciences and technology</subject><subject>Geologic maps, cartography</subject><subject>Geomorphology</subject><subject>Image processing</subject><subject>Internal geophysics</subject><subject>Land cover</subject><subject>Land use</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Landscape</subject><subject>Littoral environments</subject><subject>Mapping</subject><subject>Marine and continental quaternary</subject><subject>Mathematical morphology</subject><subject>Morphology</subject><subject>Natural resources</subject><subject>Parameters</subject><subject>Radar</subject><subject>Radar imaging</subject><subject>Radarsat</subject><subject>Remote sensing</subject><subject>Remote sensors</subject><subject>Satellite imagery</subject><subject>Spectral sensitivity</subject><subject>Surficial geology</subject><issn>1746-448X</issn><issn>1743-3541</issn><isbn>1845645340</isbn><isbn>9781845645342</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNotj11LwzAYhYMf4JwDf0JuBC-spvlo3l7q0CkMlaHgXUmbdAu0TU2ywfz1Bh3n4j3wPhzOQegyJ7eUl-Ju_p7nJOkITXLJWcYEz4_ReQ5cFFwwTk7-HkXGOXydoVkItiaEAimBignarJRWHqtBYzdG26gOb_a1txrbXq1NwNElN3q3M3htnBl21ruhN0NMZK_G0Q5rbAe8sg4vfIoxWDv86nw0OEQVzQ1-8OrHdhfotFVdMLPDnaLPp8eP-XO2fFu8zO-XmaJSxKwwCghwXVIt25q1WvFaClO0BatB17SBmhcgJWHKCMq5aIAok9NGQtkWINgUXf_nps7fWxNi1dvQmK5Tg3HbUFEqQApWAiT06oCqkIa3qX5jQzX6NN3vKyoYSCKB_QLpUmnx</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>DE BARROS PEREIRA, B. 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subjects | Altimetry Applied geophysics Areal geology Areal geology. Maps Coastal processes Digital Elevation Models Digital imaging Earth sciences Earth, ocean, space Elevation Environmental aspects Environmental changes Exact sciences and technology Geologic maps, cartography Geomorphology Image processing Internal geophysics Land cover Land use Landsat Landsat satellites Landscape Littoral environments Mapping Marine and continental quaternary Mathematical morphology Morphology Natural resources Parameters Radar Radar imaging Radarsat Remote sensing Remote sensors Satellite imagery Spectral sensitivity Surficial geology |
title | Radar and optical hybrid images to improve geoenvironmental mapping in Rio Grande do Norte state, Brazil |
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