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

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 represen...

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Autores principales: Pellerin,Joel, Pinto Camargo,Lucia, Neves Panitz,Clarice Maria
Lenguaje:English
Publicado: Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción 2004
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300029
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spelling oai:scielo:S0717-653820040003000292005-05-16DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZILPellerin,JoelPinto Camargo,LuciaNeves Panitz,Clarice MariaWith 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 knowledgeinfo:eu-repo/semantics/openAccessFacultad de Ciencias Naturales y Oceanográficas, Universidad de ConcepciónGayana (Concepción) v.68 n.2 suppl.TIIProc 20042004-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300029en10.4067/S0717-65382004000300029
institution Scielo Chile
collection Scielo Chile
language English
description 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
author Pellerin,Joel
Pinto Camargo,Lucia
Neves Panitz,Clarice Maria
spellingShingle Pellerin,Joel
Pinto Camargo,Lucia
Neves Panitz,Clarice Maria
DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
author_facet Pellerin,Joel
Pinto Camargo,Lucia
Neves Panitz,Clarice Maria
author_sort Pellerin,Joel
title DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
title_short DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
title_full DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
title_fullStr DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
title_full_unstemmed DATA FUSION OF SPOT PAN IMAGES AND LANDSAT TM FOR MAPPING RIO TAVARES'MANGROVE IN SANTA CATARINA ISLAND-BRAZIL
title_sort data fusion of spot pan images and landsat tm for mapping rio tavares'mangrove in santa catarina island-brazil
publisher Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción
publishDate 2004
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300029
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AT pintocamargolucia datafusionofspotpanimagesandlandsattmformappingriotavaresmangroveinsantacatarinaislandbrazil
AT nevespanitzclaricemaria datafusionofspotpanimagesandlandsattmformappingriotavaresmangroveinsantacatarinaislandbrazil
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