Persistent Link:
http://hdl.handle.net/10150/296670
Title:
Multispectral Change Vector Analysis for Monitoring Coastal Marine Environments
Author:
Michalek, Jeffrey L.; Wagner, Thomas W.; Luczkovich, Joseph J.; Stoffle, Richard W.
Affiliation:
University of Michigan; East Carolina University
Issue Date:
Mar-1993
Collection Information:
This item is part of the Richard Stoffle Collection. It was digitized from a physical copy provided by Richard Stoffle, Bureau of Applied Research in Anthropology, School of Anthropology at the University of Arizona. For more information about items in this collection, please email Special Collections, askspecialcollections@u.library.arizona.edu.
Publisher:
Photogrammetric Engineering & Remote Sensing
Abstract:
Documenting temporal changes to coastal zones is an essen­tial part of understanding and managing these environ­ments. The exclusive use of traditional surveying tools may not be practical for monitoring large, remote, or rapidly changing areas. This paper investigates the utility of multispectral Landsat Thematic Mapper satellite data for docu­menting changes to a Caribbean coastal zone using the change vector analysis processing technique. The area of study was the coastal region near the village of Buen Hombre on the north coast of the Dominican Republic. The primary habitats of interest were the intertidal mangrove for­ ests, and the shallow water seagrasses, macroalgae, and coral reefs. The change vector analysis technique uses any number of spectral bands from multidate satellite data to produce change images that yield information about both the magnitude and direction of differences in pixel values (which are proportional to radiance). The final products were created by appending color-coded change pixels onto a black-and-white base map. The advantages and limitations of the technique for coastal inventories are discussed.
Keywords:
Buen Hombre, Dominican Republic; Coastal Communities; Remote Sensing; Environmental Change; Change Vector Analysis

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleMultispectral Change Vector Analysis for Monitoring Coastal Marine Environmentsen_US
dc.contributor.authorMichalek, Jeffrey L.en_US
dc.contributor.authorWagner, Thomas W.en_US
dc.contributor.authorLuczkovich, Joseph J.en_US
dc.contributor.authorStoffle, Richard W.en_US
dc.contributor.departmentUniversity of Michiganen_US
dc.contributor.departmentEast Carolina Universityen_US
dc.date.issued1993-03-
dc.description.collectioninformationThis item is part of the Richard Stoffle Collection. It was digitized from a physical copy provided by Richard Stoffle, Bureau of Applied Research in Anthropology, School of Anthropology at the University of Arizona. For more information about items in this collection, please email Special Collections, askspecialcollections@u.library.arizona.edu.en_US
dc.sourceUniversity of Arizona Libraries, Special Collectionsen_US
dc.publisherPhotogrammetric Engineering & Remote Sensingen_US
dc.description.abstractDocumenting temporal changes to coastal zones is an essen­tial part of understanding and managing these environ­ments. The exclusive use of traditional surveying tools may not be practical for monitoring large, remote, or rapidly changing areas. This paper investigates the utility of multispectral Landsat Thematic Mapper satellite data for docu­menting changes to a Caribbean coastal zone using the change vector analysis processing technique. The area of study was the coastal region near the village of Buen Hombre on the north coast of the Dominican Republic. The primary habitats of interest were the intertidal mangrove for­ ests, and the shallow water seagrasses, macroalgae, and coral reefs. The change vector analysis technique uses any number of spectral bands from multidate satellite data to produce change images that yield information about both the magnitude and direction of differences in pixel values (which are proportional to radiance). The final products were created by appending color-coded change pixels onto a black-and-white base map. The advantages and limitations of the technique for coastal inventories are discussed.en_US
dc.subjectBuen Hombre, Dominican Republicen_US
dc.subjectCoastal Communitiesen_US
dc.subjectRemote Sensingen_US
dc.subjectEnvironmental Changeen_US
dc.subjectChange Vector Analysisen_US
dc.typeArticleen_US
dc.identifier.urihttp://hdl.handle.net/10150/296670-
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.