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Land-cover mapping in an agriculture zone using simulated Sentinel-2 data
Pryor;Logan S
出版年2012
学位授予单位Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012, Arts and Science, Department of Geography
英文摘要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
英文关键词Remote sensing -- Alberta Multispectral photography Landforms -- Alberta Aerial photography in geography Dissertations Academic
语种英语
URLhttp://hdl.handle.net/10133/3367
来源机构University of Lethbridge
资源类型学位论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/246718
推荐引用方式
GB/T 7714
Pryor;Logan S. Land-cover mapping in an agriculture zone using simulated Sentinel-2 data[D]. Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012, Arts and Science, Department of Geography,2012.
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