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dc.contributor.advisorChao, Haiyang
dc.contributor.authorGowravaram, Saket Navalur
dc.date.accessioned2018-02-06T02:36:33Z
dc.date.available2018-02-06T02:36:33Z
dc.date.issued2017-08-31
dc.date.submitted2017
dc.identifier.otherhttp://dissertations.umi.com/ku:15541
dc.identifier.urihttp://hdl.handle.net/1808/25921
dc.description.abstractThis thesis focuses on the development and testing of the KHawk multispectral remote sensing system for environmental and agricultural applications. KHawk Unmanned Aircraft System (UAS), a small and low-cost remote sensing platform, is used as the test bed for aerial video acquisition. An efficient image geotagging and photogrammetric procedure for aerial map generation is described, followed by a comprehensive error analysis on the generated maps. The developed procedure is also used for generation of multispectral aerial maps including red, near infrared (NIR) and colored infrared (CIR) maps. A robust Normalized Difference Vegetation index (NDVI) calibration procedure is proposed and validated by ground tests and KHawk flight test. Finally, the generated aerial maps and their corresponding Digital Elevation Models (DEMs) are used for typical application scenarios including prescribed fire monitoring, initial fire line estimation, and tree health monitoring.
dc.format.extent74 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectAerospace engineering
dc.titleMultispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems
dc.typeThesis
dc.contributor.cmtememberBrunsell, Nathaniel
dc.contributor.cmtememberChoi, Dongkyu
dc.thesis.degreeDisciplineAerospace Engineering
dc.thesis.degreeLevelM.S.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


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