Single image summary of time-varying Earth-features

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dc.contributor.advisorSamavati, Faramarz
dc.contributor.authorTripathi, Gaurav
dc.contributor.committeememberWillett, Wesley
dc.contributor.committeememberCosta Sousa, Mario
dc.date2018-11
dc.date.accessioned2018-07-20T15:51:16Z
dc.date.available2018-07-20T15:51:16Z
dc.date.issued2018-07-18
dc.description.abstractThe Earth's surface is live and dynamic due to natural and human-made events. Tracking and visualizing Earth-features (e.g., water, snow, and vegetation) is a significant problem. In this thesis, we explore a single image summary approach to detecting changes in Earth-features. Earth observation satellite imagery like Landsat 8 makes the tracking feasible by providing detailed multispectral imagery at regular intervals. Each Landsat scene for a region consists of 11 bands where each band belongs to a fixed range of wavelength and is useful in different remote sensing disciplines. Landsat 8 dataset offers the ability to identify more than what can be observed through the naked eye (using conventional RGB images). In our method, we use spectral indices prepared by combinations of two or more bands, to identify features. Appropriate thresholds for spectral indices help in feature identification. Next, we reference datasets and combine multiple images to generate recurrence-maps (represents the recurrence of a particular feature in the region of interest). Application of predefined color scales to recurrence-maps creates a single image summary of features for a region. We illustrate the benefit of our method with case-studies for the Lake Urmia, the Amazon Rainforest, the Bering Glacier, and the California Rocky Fire. These case studies decipher change-trends such as droughts, deforestation, glacial melting, and burn-area recovery.en_US
dc.identifier.citationTripathi, G. (2018). Single image summary of time-varying Earth-features (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/32650en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32650
dc.identifier.urihttp://hdl.handle.net/1880/107468
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultyScience
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.classificationEducation--Sciencesen_US
dc.subject.classificationRemote Sensingen_US
dc.subject.classificationComputer Scienceen_US
dc.titleSingle image summary of time-varying Earth-features
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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