Applications of digital terrain data to enhance the utility of remotely sensed multispectral image data

Persistent Link:
http://hdl.handle.net/10150/191958
Title:
Applications of digital terrain data to enhance the utility of remotely sensed multispectral image data
Author:
McLaughlin, Peter Shepherd,1955-
Issue Date:
1987
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This research demonstrates two different applications of digital terrain data for improving multispectral classification of forest and range cover types. One method involves a stratification process to determine probabilities of occurrence and to develop an ecological distribution model for the six major vegetation types within the eastern San Francisco Volcanic Field in Arizona. The second method employs reflectance modeling techniques to reduce brightness variations resulting from topography and illumination in Landsat image data of the area in order to examine the intrinsic qualities of the natural surface cover. Image processing techniques are used to simulate the topographic effect on surface radiance and for quantifying Landsat scene modulation due solely to topography and sun angle. These two pre-classification modeling techniques lead to higher accuracies of cover type classifications. Further investigations and model integration are recommended to gain a more thorough understanding of vegetation cover characteristics in mountainous terrain.
Type:
Thesis-Reproduction (electronic); text; maps
Keywords:
maps
LCSH Subjects:
Hydrology.; Vegetation surveys -- Arizona -- San Francisco -- Volcanic Field.; Botany Arizona -- San Francisco -- Volcanic Field -- Remote sensing.; Vegetation mapping -- Arizona -- San Francisco -- Volcanic Field.; Remote sensing -- Arizona -- San Francisco -- Volcanic Field.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Renewable Natural Resources; Graduate College
Degree Grantor:
University of Arizona

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleApplications of digital terrain data to enhance the utility of remotely sensed multispectral image dataen_US
dc.creatorMcLaughlin, Peter Shepherd,1955-en_US
dc.contributor.authorMcLaughlin, Peter Shepherd,1955-en_US
dc.date.issued1987en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis research demonstrates two different applications of digital terrain data for improving multispectral classification of forest and range cover types. One method involves a stratification process to determine probabilities of occurrence and to develop an ecological distribution model for the six major vegetation types within the eastern San Francisco Volcanic Field in Arizona. The second method employs reflectance modeling techniques to reduce brightness variations resulting from topography and illumination in Landsat image data of the area in order to examine the intrinsic qualities of the natural surface cover. Image processing techniques are used to simulate the topographic effect on surface radiance and for quantifying Landsat scene modulation due solely to topography and sun angle. These two pre-classification modeling techniques lead to higher accuracies of cover type classifications. Further investigations and model integration are recommended to gain a more thorough understanding of vegetation cover characteristics in mountainous terrain.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.typemaps-
dc.subjectmaps-
dc.subject.lcshHydrology.en_US
dc.subject.lcshVegetation surveys -- Arizona -- San Francisco -- Volcanic Field.en_US
dc.subject.lcshBotany Arizona -- San Francisco -- Volcanic Field -- Remote sensing.en_US
dc.subject.lcshVegetation mapping -- Arizona -- San Francisco -- Volcanic Field.en_US
dc.subject.lcshRemote sensing -- Arizona -- San Francisco -- Volcanic Field.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.committeememberFfolliott, Peter F.en_US
dc.contributor.committeememberHuete, Alfredoen_US
dc.contributor.committeememberLehman, Gordon S.en_US
dc.identifier.oclc213333069en_US
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