Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"High spatial resolution imagery"”.
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Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization
… data, with a focus on hyperspectral and very high spatial resolution imagery. The new and innovative methods developed are: 1) integration of contribution theory into a model inversion approach to obtain high accuracy in canopy biophysical parameter estimation; 2) exploration and adoption of …
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Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake
… fit are investigated as key variables for high spatial resolution imagery classification. Our findings show that each of the algorithms achieved nearly a 90% kernel density match using the United Nations Operational Satellite Applications Programme (UNITAR/UNOSAT) dataset as validation. The …
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Sub-Pixel Classification of Historical and Current Marsh Habitat For the Eastern Mississippi Gulf Coast Using Remotely Sensed Images
… forests, low intensity developed areas and high intensity developed areas using high spatial resolution imagery and applying the proportions to medium resolution imagery for the past twenty-seven years (1984-2011) for the Western Lower Pascagoula River Basin. The other main objective was to …
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A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California
… they may become less accurate when applied to high spatial resolution imagery in which the pixels are smaller than the objects to be classified. At this scale, there is a higher intra-class spectral heterogeneity. Detailed forest and vegetation classification is extremely challenging at this …
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Mapping mixed and fragmented forest associations with high spatial resolution satellite imagery : capabilities and caveats
Satellite imagery such as Landsat has been in use for decades for many landscape and regional scale mapping applications, but has been too coarse for use in detailed forest inventories where stand level structural and compositional information is desired. Recently available high spatial resolution …
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An object-based image analysis approach for detecting urban impervious surfaces
… surfaces are manmade surfaces which are highly resistant to infiltration of water. Previous attempts to classify impervious surfaces from high spatial resolution imagery with pixel-based techniques have proven to be unsuitable for automated classification because of its high spectral …
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Mapping individual trees from airborne multi-sensor imagery
… of targets; while aerial photographs provide high spatial-resolution imagery so that they can provide more feature details which cannot be identified from hyperspectral or LiDAR intensity images. Using a combination of these sensors, effective techniques can be developed for mapping species …