Fast fourier transform (FFT) analysis on NDVI timesSeries for fssessment of vegetation patterns in Ghana

dc.contributor.authorQuashie, Gilbert Kobla
dc.date.accessioned2016-04-12T14:59:23Z
dc.date.accessioned2023-04-20T06:00:43Z
dc.date.available2016-04-12T14:59:23Z
dc.date.available2023-04-20T06:00:43Z
dc.date.issued2013-10-12
dc.descriptionA thesis submitted to the Department of Geomatic Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the degree of Master of Science in Geomatic Engineeringen_US
dc.description.abstractTime series analysis of Normalized Difference Vegetation Index (NDVI) imagery is a powerful tool in studying vegetation phenology in data scarce and inaccessible areas. Application of these datasets involves typically, per-pixel analysis of multi-temporal Vegetation Indices(VIs), which are frequently subject to high-frequency fluctuations (i.e. noise) caused by changing atmospheric conditions and varying sun-sensor-surface geometries...en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/8717
dc.language.isoenen_US
dc.titleFast fourier transform (FFT) analysis on NDVI timesSeries for fssessment of vegetation patterns in Ghanaen_US
dc.typeThesisen_US
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