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
work_keys_str_mv	AT camargolucia derivationandaplicationofalgorismof5metersimagemaskformangroveclassification AT pellerinjoel derivationandaplicationofalgorismof5metersimagemaskformangroveclassification AT panitzclaricemn derivationandaplicationofalgorismof5metersimagemaskformangroveclassification
_version_	1718442060624691200

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

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