Statistical relationship between drought indices and NDVI at regional scale

Persistent Link:
http://hdl.handle.net/10150/191366
Title:
Statistical relationship between drought indices and NDVI at regional scale
Author:
Boushaki, Farid Ishak.
Issue Date:
2002
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:
The potential contribution of easily accessible satellite data to the detection and quantification of regional droughts, in the absence of reliable meteorological data, is the objective of this study. The former statement can be investigated by identifying the characteristics of vegetation response to dry-wet cycles. The relationships between several "palmer-based" drought indices that are derived from meteorological data, and the concurrent time series of a coarse resolution departure of Normalized Difference Vegetation Index were used to investigate the feasibility of using remote sensing data in monitoring and observing drought conditions at spatial resolutions higher than the currently used in drought monitoring methods. Methods of investigation included crosscorrelation between drought indices and both regional averaged and land-cover stratified departure NDVI, as well as spectral analysis of each type of time series. The analysis showed a positive relationship between drought indices used and most vegetation covers and even a stronger relationship for particular vegetation covers such as open shrublands and needleleaf forest. Spectrum analysis detected a similar signal from both series that is related to ENSO events. This signal is observed at low frequency variability in departure NDVI and drought indices.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Droughts.; Ecology -- Computer simulation.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleStatistical relationship between drought indices and NDVI at regional scaleen_US
dc.creatorBoushaki, Farid Ishak.en_US
dc.contributor.authorBoushaki, Farid Ishak.en_US
dc.date.issued2002en_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.abstractThe potential contribution of easily accessible satellite data to the detection and quantification of regional droughts, in the absence of reliable meteorological data, is the objective of this study. The former statement can be investigated by identifying the characteristics of vegetation response to dry-wet cycles. The relationships between several "palmer-based" drought indices that are derived from meteorological data, and the concurrent time series of a coarse resolution departure of Normalized Difference Vegetation Index were used to investigate the feasibility of using remote sensing data in monitoring and observing drought conditions at spatial resolutions higher than the currently used in drought monitoring methods. Methods of investigation included crosscorrelation between drought indices and both regional averaged and land-cover stratified departure NDVI, as well as spectral analysis of each type of time series. The analysis showed a positive relationship between drought indices used and most vegetation covers and even a stronger relationship for particular vegetation covers such as open shrublands and needleleaf forest. Spectrum analysis detected a similar signal from both series that is related to ENSO events. This signal is observed at low frequency variability in departure NDVI and drought indices.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshDroughts.en_US
dc.subject.lcshEcology -- Computer simulation.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.identifier.oclc226249180en_US
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