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Geometric and radiometric calibration of video infrared imagers for photogrammetric applicationsBuyuksalih, Gurcan January 1997 (has links)
No description available.
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The derivations of hydrological variables (including soil moisture) from satellite imageryBaban, Serwan M. J. January 1991 (has links)
No description available.
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Interpretation of array sensor responsesMcAlernon, Patricia Mary January 1997 (has links)
No description available.
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The application of remote sensing to the prediction of sugar beet yieldTrigg, Deborah Anne January 1990 (has links)
No description available.
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Characterisation of the yenI/yenR locus from Yersinia enterocoliticaThroup, John Peter January 1995 (has links)
No description available.
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Ground-based remote sensing methods of archaeological information recovery with special reference to churches in the East MidlandsBrooke, C. J. January 1987 (has links)
No description available.
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Modelling landslide potential in the Venezuelan AndesGomez Zabaleta, Heriberto R. January 2002 (has links)
No description available.
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Multi-sensor geometric estimationWen, Wu January 1992 (has links)
No description available.
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Object-based Image Analysis for the Delineation of Canopy Gaps and Individual Tree Crowns using Multi-source Data: A Case Study in Haliburton Forest, OntarioSaliola, Assunta 04 July 2014 (has links)
This thesis assessed object-based image analysis techniques using multi-source remote sensing data in order to automatically delineate canopy gaps and individual tree crowns (ITCs). Image segmentation is much more complex when conducted on data covering deciduous, un-even aged forests like those in Central Ontario. To delineate canopy gaps high spatial resolution multispectral ADS40 aerial imagery and a LiDAR CHM were assessed both separately and jointly. To delineate ITCs two commonly used segmentation approaches were assessed – region growing and watershed segmentation. Ground based measurements and manually delineated data were used as reference to evaluate results. Using multi-source data to delineate canopy gaps produced an average overall accuracy of 99.35%, whereas using the imagery and CHM individually resulted in average overall accuracies of 81.41% and 82.45%, respectively. For the delineation of ITCs, the watershed and region growing segmentations resulted in average overall accuracies of 67.5% and 65.5%, respectively.
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APPLICATION OF RADAR AND INFRARED IMAGERY TO A QUANTITATIVE GEOMORPHOLOGICAL INVESTIGATION OF THE MILL CREEK DRAINAGE BASIN, SOUTH-CENTRAL OKLAHOMACannon, Philip Jan, Cannon, Philip Jan January 1973 (has links)
No description available.
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