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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorNijland, Wiebe
dc.contributor.authorThirakritsakul, Wanitchanun
dc.date.accessioned2023-09-19T00:00:39Z
dc.date.available2023-09-19T00:00:39Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/45185
dc.description.abstractThis thesis investigates the potential shift in the timing of the end of the growing season by analyzing vegetation dynamics using remote sensing and the Normalized Difference Vegetation Index (NDVI). The study focuses on the Val Grande National Park in northern Italy as the study area. The Landsat 8 satellite imagery is used to assess NDVI trends over specific time intervals, including monthly trends and 16-day moving windows. The results suggest potential shifts in the timing of the growing season based on the analysis of monthly and moving window trends. October exhibits pronounced changes, with vibrant green and red colors indicating increased NDVI values and improved vegetation health. These findings suggest a possible extension of the growing season into October. However, various factors, such as species composition and local environmental conditions, may contribute to these observed changes. Further research is needed to establish definitive trends and understand the underlying factors driving these shifts.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectDetecting change in vegetation using time series analysis on remote sensing data
dc.titleExploring Shifts in the Timing of the Growing Season: A Remote Sensing Analysis of Vegetation Dynamics in Val Grande National Park
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsGrowing season; Phenology; Remote sensing; NDVI (Normalized Difference Vegetation Index); Vegetation dynamics; Shift in timing; Plant growth;Temperature
dc.subject.courseuuApplied Data Science
dc.thesis.id24499


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