DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION

Mangroves' forest are one of the most important coastal ecosystems. Distributed in tropical and sub-tropical regions, mangroves achieve their maximum development in southwest of Asia. Mangroves' forest are under severe stress mainly in sub-tropical countries due to natural tensors and the...

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Autores principales: Camargo,Lucia, Pellerin,Joel, Panitz,Clarice M.N
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=S0717-65382004000200015
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spelling oai:scielo:S0717-653820040002000152005-09-14DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATIONCamargo,LuciaPellerin,JoelPanitz,Clarice M.NMangroves' forest are one of the most important coastal ecosystems. Distributed in tropical and sub-tropical regions, mangroves achieve their maximum development in southwest of Asia. Mangroves' forest are under severe stress mainly in sub-tropical countries due to natural tensors and the demographic ones. Along the Brazilian coast, mangroves are subjected to the effects of human growth and economic pressure with their diverse activities affecting mangrove structural development and biodiversity. It is necessary and urgent that mangrove are integrated in the Coastal Planning as a way of preservation and conservation of its natural resources through a sustainable management. Remote sensing techniques and GIS were applied in the actualization of Ratones' mangrove through digital images from Spot-Pan, orbit 714-405, special resolution of 10 meters, 07/11/1995 and from Landsat Thematic Mapper-TM, channels 1 to 5 and 7, orbit 220-078, special resolution of 30 meters, 15/07/1993. In the process a polygon of 5 meters height (mask) was applied with the objective to separate mangrove classes from water. This procedure was important and efficient to evaluate pixels mixture in the occurred classes in the supervised classification in the entire scene and to estimate mangrove's stands with regression equations between them and satellite date.info:eu-repo/semantics/openAccessFacultad de Ciencias Naturales y Oceanográficas, Universidad de ConcepciónGayana (Concepción) v.68 n.2 suppl.TIProc 20042004-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000200015en10.4067/S0717-65382004000200015
institution Scielo Chile
collection Scielo Chile
language English
description Mangroves' forest are one of the most important coastal ecosystems. Distributed in tropical and sub-tropical regions, mangroves achieve their maximum development in southwest of Asia. Mangroves' forest are under severe stress mainly in sub-tropical countries due to natural tensors and the demographic ones. Along the Brazilian coast, mangroves are subjected to the effects of human growth and economic pressure with their diverse activities affecting mangrove structural development and biodiversity. It is necessary and urgent that mangrove are integrated in the Coastal Planning as a way of preservation and conservation of its natural resources through a sustainable management. Remote sensing techniques and GIS were applied in the actualization of Ratones' mangrove through digital images from Spot-Pan, orbit 714-405, special resolution of 10 meters, 07/11/1995 and from Landsat Thematic Mapper-TM, channels 1 to 5 and 7, orbit 220-078, special resolution of 30 meters, 15/07/1993. In the process a polygon of 5 meters height (mask) was applied with the objective to separate mangrove classes from water. This procedure was important and efficient to evaluate pixels mixture in the occurred classes in the supervised classification in the entire scene and to estimate mangrove's stands with regression equations between them and satellite date.
author Camargo,Lucia
Pellerin,Joel
Panitz,Clarice M.N
spellingShingle Camargo,Lucia
Pellerin,Joel
Panitz,Clarice M.N
DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
author_facet Camargo,Lucia
Pellerin,Joel
Panitz,Clarice M.N
author_sort Camargo,Lucia
title DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
title_short DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
title_full DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
title_fullStr DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
title_full_unstemmed DERIVATION AND APLICATION OF ALGORISM OF 5 METERS (IMAGE MASK) FOR MANGROVE CLASSIFICATION
title_sort derivation and aplication of algorism of 5 meters (image mask) for mangrove classification
publisher Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción
publishDate 2004
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000200015
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