Our Global Environment: Past, Present and Future - Geosciences Seminar

Academic Level at Time of Presentation

Senior

Major

Geoscience

Minor

GIS

List all Project Mentors & Advisor(s)

Cetin Haluk, PhD

Presentation Format

Poster Presentation

Abstract/Description

Through integration of Light Detection and Ranging (LiDAR) data and high spatial imagery, it is plausible to delineate the bodies of water in order to monitor their changes in size. The purpose of this study is to integrate two different sets of LiDAR data, several multi-date high spatial resolution National Agriculture Imagery Program (NAIP) images, and multi-dateLandsat-8 satellite images of Ballard County, Kentucky for the delineation of the water bodies in the County. Accuracy and precision of the datasets in terms of spatial and spectral resolutions will be examined. The hypothesis is that an integration of such datasets would provide better classifications in terms of differentiation of water bodies and land when compared using the individual datasets alone. Landsat-8 satellite images can be used to create classification maps and vegetation indices, which should help delineate water and land boundaries. However, utilizing satellite images alone lacks the finer spatial aspect. By using the approach mentioned, the final mapping products can be compared and presented to help understand the accuracies and the environmental change in the region.

Location

Classroom 211 & Front-South Lobby, Waterfield Library

Start Date

18-11-2016 12:00 AM

End Date

18-4-2016 12:00 AM

Affiliations

Geosciences

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Nov 18th, 12:00 AM Apr 18th, 12:00 AM

Integration of Lidar and Imagery to delineated Water Bodies for Change Detection

Classroom 211 & Front-South Lobby, Waterfield Library

Through integration of Light Detection and Ranging (LiDAR) data and high spatial imagery, it is plausible to delineate the bodies of water in order to monitor their changes in size. The purpose of this study is to integrate two different sets of LiDAR data, several multi-date high spatial resolution National Agriculture Imagery Program (NAIP) images, and multi-dateLandsat-8 satellite images of Ballard County, Kentucky for the delineation of the water bodies in the County. Accuracy and precision of the datasets in terms of spatial and spectral resolutions will be examined. The hypothesis is that an integration of such datasets would provide better classifications in terms of differentiation of water bodies and land when compared using the individual datasets alone. Landsat-8 satellite images can be used to create classification maps and vegetation indices, which should help delineate water and land boundaries. However, utilizing satellite images alone lacks the finer spatial aspect. By using the approach mentioned, the final mapping products can be compared and presented to help understand the accuracies and the environmental change in the region.