This research underscores the importance of integrating the evolving LiDAR technology and GIS spatial analysis for effective management of urban environment, habitat conservation, and sustainable development planning. The study area of this research is the City of Denton which has undergone urban expansion leading to significant alterations in the city's land cover patterns. The methodologies developed in this study include collecting the data sources, and processing of LiDAR point clouds of years 2019 and 2020 to generate the digital elevation model (DEM), digital surface model (DSM), building height model (BHM), and canopy height model (CHM). The models could separate developed from undeveloped lands and identify upland and water-related habitats by the natural threshold in plant height and by proximity to water and FEMA 100-year flood zones. The results show that 18 % of the total area of the city is occupied by upland habitats while water-related habitats cover 16 % of the total area. Upland habitats are typically found in undeveloped areas outside the region of a 100-year flood zone, while water-related habitats are situated near lakes, streams, wetlands, and other water bodies. To verify the accuracy of the mapped habitats, accuracy assessment and field verification were conducted, which confirmed their accurate mapping. This research enables the identification of these habitats and underscores the significance of employing spatial analysis techniques in urban planning.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc2356222 |
| Date | 07 1900 |
| Creators | Thapaliya, Prashant |
| Contributors | Dong, Pinliang, Pan, Feifei, Liang, Lu |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Thapaliya, Prashant, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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