Identificação fitofisionômica através de imagens orbitais híbridas do LANDSAT 5-TM e do RADARSAT-1 em manguezais do litoral setentrional do Rio Grande do Norte

This work combined multispectral data of LANDSAT 5-TM with microwave data from RADARSAT1 to characterize the phytophysionomy of mangroves located on the northern coast of Rio Grande do Norte State, northeast Brazil. Hybrid images between optical and microwave systems have shown excellent performance...

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Detalles Bibliográficos
Autores: Amaro, Venerando Eustáquio, Costa, Bruno César Pereira
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:Brasil
Institución:Universidade Federal do Rio Grande do Norte (UFRN)
Repositorio:Repositório Institucional da UFRN
Idioma:portugués
OAI Identifier:oai:repositorio.ufrn.br:123456789/31079
Acceso en línea:https://repositorio.ufrn.br/handle/123456789/31079
Access Level:acceso abierto
Palabra clave:Sensoriamento Remoto
Imagens híbridas
Ecossistema manguezal
Nordeste do Brasil
Descripción
Sumario:This work combined multispectral data of LANDSAT 5-TM with microwave data from RADARSAT1 to characterize the phytophysionomy of mangroves located on the northern coast of Rio Grande do Norte State, northeast Brazil. Hybrid images between optical and microwave systems have shown excellent performance in identifying several geoenvironmental units and allowed better coastal properties enhancement of floristic species of mangroves. The results of the phytophysionomic characterization revealed the occurrence of three typical species of mangrove: Rhizophora mangle L. (Rhizophoraceae), Avicennia germinans L. (Avicenniaceae) and Laguncularia racemosa L. Gaertn. f. (Combretaceae). A. germinans is the most abundant species of mangrove for the entire study area, occupying approximately 324.70 hectares, representing 61.2% of all mangrove swamp. R. mangle occupies an area of 205.48 hectares, representing, 38.8%. A. germinans is the most abundant species of mangrove for the entire area studied, occupying an area approximately 324.7 hectares, representing 61.2% of all mangrove swamp. R. mangle occupies an area of 205.48 hectares, representing, 38.8%. L. racemosa occurs as restricted individuals associated with otherspecies. The present study seeks the expectations of higher efficiency (spatial and temporal) and accuracy in monitoring the quality of mangroves ecosystems highly sensitive to environmental changes and as a subsidy to its preservation