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Articles 1 - 4 of 4
Full-Text Articles in Geographic Information Sciences
Assessment Of Vertical Accuracy From Uav-Lidar And Structure From Motion Point Clouds In Floodplain Terrain Mapping, Andrew Muller
Assessment Of Vertical Accuracy From Uav-Lidar And Structure From Motion Point Clouds In Floodplain Terrain Mapping, Andrew Muller
Dissertations and Theses
Remote sensing technologies are being applied to a variety of uses because of the increase in access to various products (digital sensors, UAVs, software) and its ability to model relatively large areas in a short amount of time. While these new technologies are beginning to be adopted, validation of their merit in floodplain terrain mapping is lacking. The main goal of this study is to evaluate the vertical accuracy of digital elevation models (DEMs) generated with UAV-based LiDAR and Structure from Motion (SfM), also known as photographic LiDAR or PhoDAR. Airborne (manned aircraft) LiDAR has been applied to river research …
Mapping The Publics: The Production Of Spatial Knowledge And Public Interest, Paul Thomas Manson
Mapping The Publics: The Production Of Spatial Knowledge And Public Interest, Paul Thomas Manson
Dissertations and Theses
Over the past decades, calls for comprehensively managing and planning ocean resources have emerged internationally and within the United States. Central to these calls is a drive to expand coastal and marine spatial planning with a particular focus on technologically mediated public involvement. These new public involvement technologies aim, more quickly and thoroughly, to solicit and analyze public values and existing uses of the coastal and marine environments. One particular technological innovation is the use of participatory geographic information systems (PGIS). These new tools allow for stakeholders, members of the public, and planning entities to collect, visualize, and interact with …
Relationship Between Image Spectroscopy Spatial Resolution And Crown Level Tree Species Classification Accuracy, Andrew Richard Fritter
Relationship Between Image Spectroscopy Spatial Resolution And Crown Level Tree Species Classification Accuracy, Andrew Richard Fritter
Dissertations and Theses
Hyperspectral imagery has become a common remote sensing data type used in tree species classifications because of its rich spectral signals that allow the detection of the variations in canopy reflectance. While high spatial resolution hyperspectral imagery provides fine spatial resolution for discerning surface objects, it has the inherent drawbacks of expensive acquisition costs, large data sizes, and can be computationally taxing to use. This study attempts to determine a relationship between crown level tree species classification accuracy and hyperspectral spatial resolution. Future tree species classification projects can make use of this relationship by targeting a spatial resolution that best …
Reassessing The Ranging Behavior Of Black-And-White Ruffed Lemurs (Varecia Variegata) In Ranomafana National Park, Madagascar, Jelisa R. Oliveras
Reassessing The Ranging Behavior Of Black-And-White Ruffed Lemurs (Varecia Variegata) In Ranomafana National Park, Madagascar, Jelisa R. Oliveras
Dissertations and Theses
This study investigates black-and-white ruffed lemur (Varecia variegata) space use and movement using autocorrelated kernel density estimation (AKDE), a new methodology available from the continuous-time movement model (ctmm) package in R. Data were collected from 24 adults and subadults (10 males, 11 females, 3 subadult males) living in two adjacent V. variegata communities at Mangevo bush camp in Ranomafana National Park, Madagascar (RNP) for 11 months (February – December 2008) to estimate annual and seasonal patterns of individual and community-level range use. Autocorrelated kernel density estimates generated in this study are compared to earlier kernel density estimates from …