The use of multispectral aerial video to determine land cover for hydrological simulations in small urban watersheds

Persistent Link:
http://hdl.handle.net/10150/291381
Title:
The use of multispectral aerial video to determine land cover for hydrological simulations in small urban watersheds
Author:
Potter, Thomas Noel, 1959-
Issue Date:
1993
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:
Airborne multispectral video was evaluated as a tool for obtaining urban land cover information for hydrological simulations. Land cover data was obtained for a small urban watershed in Tucson, Arizona using four methods: multispectral aerial video (2 meter and 4 meter pixel resolution), National High Altitude Photography (NHAP), multispectral satellite imagery from Systeme Pour l'Observation de la Terre (SPOT), and by conventional survey. A semi-automated land cover classification produced four classes: vegetation, buildings, pavement, and bare soil. The land cover data from each classification was used as input to a runoff simulation model. Runoff values generate by each simulation were compared to observed runoff. A chi-square goodness-of-fit test indicated that SPOT produced landcover data most similar to the conventional classification. In the curve number model, the SPOT data produced simulated runoff values most similar to observed runoff.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Physical Geography.; Hydrology.; Agriculture, General.; Remote Sensing.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Renewable Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Guertin, D. Phillip

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleThe use of multispectral aerial video to determine land cover for hydrological simulations in small urban watershedsen_US
dc.creatorPotter, Thomas Noel, 1959-en_US
dc.contributor.authorPotter, Thomas Noel, 1959-en_US
dc.date.issued1993en_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.abstractAirborne multispectral video was evaluated as a tool for obtaining urban land cover information for hydrological simulations. Land cover data was obtained for a small urban watershed in Tucson, Arizona using four methods: multispectral aerial video (2 meter and 4 meter pixel resolution), National High Altitude Photography (NHAP), multispectral satellite imagery from Systeme Pour l'Observation de la Terre (SPOT), and by conventional survey. A semi-automated land cover classification produced four classes: vegetation, buildings, pavement, and bare soil. The land cover data from each classification was used as input to a runoff simulation model. Runoff values generate by each simulation were compared to observed runoff. A chi-square goodness-of-fit test indicated that SPOT produced landcover data most similar to the conventional classification. In the curve number model, the SPOT data produced simulated runoff values most similar to observed runoff.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectPhysical Geography.en_US
dc.subjectHydrology.en_US
dc.subjectAgriculture, General.en_US
dc.subjectRemote Sensing.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorGuertin, D. Phillipen_US
dc.identifier.proquest1355523en_US
dc.identifier.bibrecord.b311635929en_US
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