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

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. / xi, 90 leaves : col. ill. ; 29 cm

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:ALU.w.uleth.ca/dspace#10133/3367
Date January 2012
CreatorsPryor, Logan S
ContributorsStaenz, Karl, Coburn, Craig
PublisherLethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012, Arts and Science, Department of Geography
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_CA
Detected LanguageEnglish
TypeThesis
RelationThesis (University of Lethbridge. Faculty of Arts and Science)

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