Land-cover mapping in an agriculture zone using simulated Sentinel-2 data

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dc.contributor.authorPryor, Logan S
dc.contributor.supervisorStaenz, Karl
dc.contributor.supervisorCoburn, Craig A.
dc.date.accessioned2014-02-10T22:43:25Z
dc.date.available2014-02-10T22:43:25Z
dc.date.issued2012
dc.degree.levelMasters
dc.descriptionxi, 90 leaves : col. ill. ; 29 cmen_US
dc.description.abstractRemote 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.identifier.urihttps://hdl.handle.net/10133/3367
dc.language.isoen_CAen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012en_US
dc.publisher.departmentDepartment of Geographyen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectRemote sensing -- Albertaen_US
dc.subjectMultispectral photographyen_US
dc.subjectLandforms -- Albertaen_US
dc.subjectAerial photography in geographyen_US
dc.subjectDissertations, Academicen_US
dc.titleLand-cover mapping in an agriculture zone using simulated Sentinel-2 dataen_US
dc.typeThesisen_US
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