Using multitemporal satellite imagery to monitor the response of vegetation to drought in the Great Lakes Region

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dc.contributor.advisorFonstad, Mark A.
dc.contributor.authorDunham, Susan
dc.date.accessioned2021-02-22T16:21:22Z
dc.date.available2021-02-22T16:21:22Z
dc.date.issued2003-08
dc.description.abstractThe use of satellite imagery to monitor vegetation has been important for decades. Previous studies focus on the use of A VHRR based vegetation indices to assess vegetation response to climatic conditions. This study focuses on the relationship between the Palmer Drought Severity Index (PDSI) and different vegetation types through the use of several vegetation indices derived from Landsat ETM+ data (NDVI, Tasseled Cap, and SAVI). The methodology for this study consisted of three major phases; (1) obtaining georeferenced PDSI values that correspond to available imagery, (2) statistical comparison between PDSI and average values from vegetation indices, and (3) utilizing the results to make temporal inferences about the condition of vegetation in a portion of the Cuyahoga River watershed in northeastern Ohio. The potential existence of a lag between the onset of climatic conditions and vegetation response was partially addressed using these correlation methods.
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent213 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationDunham, S. (2003). Using multitemporal satellite imagery to monitor the response of vegetation to drought in the Great Lakes Region (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/13198
dc.language.isoen
dc.subjectLandsat ETM+
dc.subjectvegetation indices
dc.subjectPalmer Drought Severity Index
dc.subjectOhio
dc.titleUsing multitemporal satellite imagery to monitor the response of vegetation to drought in the Great Lakes Region
dc.typeThesis
thesis.degree.departmentGeography
thesis.degree.grantorSouthwest Texas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Applied Geography

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