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dc.contributor.supervisor Staenz, Karl
dc.contributor.supervisor Coburn, Craig A.
dc.contributor.author Pryor, Logan S
dc.date.accessioned 2014-02-10T22:43:25Z
dc.date.available 2014-02-10T22:43:25Z
dc.date.issued 2012
dc.identifier.uri https://hdl.handle.net/10133/3367
dc.description xi, 90 leaves : col. ill. ; 29 cm en_US
dc.description.abstract Remote sensing technologies are used to assist in the mapping and monitoring of land cover in space and time. The European Space Agency’s (ESA) upcoming Sentinel-2 MultiSpectral Instrument (MSI) to be launched in 2013 has improved spatial and spectral properties compared to the current large-swath medium-resolution satellite sensors. Prior to the deployment of future sensors it is important to simulate and test the sensor data to evaluate the sensor's potential performance in producing the existing data products and develop new algorithms. This study simulated Sentinel-2 MSI data from airborne hyperspectral data over an agriculture area in northern Alberta, Canada. The standard Sentinel-2 MSI land-cover product was evaluated by comparing it to one created from the standard Landsat 5 TM and SPOT 5 HRV data products. Furthermore the standard Sentinel-2 MSI water column content band configuration and algorithm was evaluated for atmospheric correction purposes. en_US
dc.language.iso en_CA en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012 en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject Remote sensing -- Alberta en_US
dc.subject Multispectral photography en_US
dc.subject Landforms -- Alberta en_US
dc.subject Aerial photography in geography en_US
dc.subject Dissertations, Academic en_US
dc.title Land-cover mapping in an agriculture zone using simulated Sentinel-2 data en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Geography en_US
dc.degree.level Masters


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