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open access

Using Geographic Information Systems for the Functional Assessment of Texas Coastal Prairie Freshwater Wetlands Around Galveston Bay

Description: The objective of this study was to deploy a conceptual framework developed by M. Forbes using a geographic information system (GIS) approach to assess the functionality of wetlands in the Galveston Bay Area of Texas. This study utilized geospatial datasets which included National Wetland Inventory maps (NWI), LiDAR data, National Agriculture Imagery Program (NAIP) imagery and USGS National Land Cover data to assess the capacity of wetlands to store surface water and remove pollutants, including… more
Date: May 2010
Creator: Enwright, Nicholas
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automated Treetop Detection and Tree Crown Identification Using Discrete-return Lidar Data

Description: Accurate estimates of tree and forest biomass are essential for a wide range of applications. Automated treetop detection and tree crown discrimination using LiDAR data can greatly facilitate forest biomass estimation. Previous work has focused on homogenous or single-species forests, while few studies have focused on mixed forests. In this study, a new method for treetop detection is proposed in which the treetop is the cluster center of selected points rather than the highest point. Based on … more
Date: May 2013
Creator: Liu, Haijian
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Archaeological Site Vulnerability Modeling for Cultural Resources Management Based on Historic Aerial Photogrammetry and LiDAR

Description: GIS has been utilized in cultural resources management for decades, yet its application has been largely isolated to predicting the occurrence of archaeological sites. Federal and State agencies are required to protect archaeological sites that are discovered on their lands, but their resources and personnel are very limited. A new methodology is evaluated that uses modern light detection and ranging (LiDAR) and historic aerial photogrammetry to create digital terrain models (DTMs) capable of i… more
Date: August 2015
Creator: Helton, Erin King
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

LiDAR Data for Characterizing Linear and Planar Geomorphic Markers in Tectonic Geomorphology

Description: This paper provides a brief review of airborne light detection and ranging (LiDAR) data for characterizing linear and planar geomorphic markers in tectonic geomorphology, including traces of active faults and surface deformation caused by earthquakes. Challenges and opportunities of LiDAR for the study of tectonic geomorphology and coseismic deformation are also discussed.
Date: November 28, 2014
Creator: Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
open access

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Description: This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.
Date: July 8, 2020
Creator: Hart, Ronan; Liang, Lu & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils

Description: Article asserts that urban tree canopies are a significant sink for atmospheric elemental carbon (EC)--and air pollutant that is a powerful climate-forcing agent and threat to human health. The authors' findings indicate that complex configurations of roads, buildings, and vegetation produce “urban edge trees” that contribute to heterogeneous EC deposition patterns across urban systems, with implications for greenspace planning.
Date: September 27, 2022
Creator: Ponette-González, Alexandra G.; Chen, Dongmei; Elderbrock, Evan; Rindy, Jenna E.; Barrett, Tate E.; Luce, Brett W. et al.
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

A rich Internet application for automated detection of road blockage in post-disaster scenarios

Description: This paper presents the development of a rich Internet application for automated detection of road blockage in post-disaster scenarios using volunteered geographic information from OpenStreetMap street centerlines and airborne light detection and ranging (LiDAR) data.
Date: February 25, 2014
Creator: Liu, W.; Dong, Pinliang; Liu, S. & Liu, J.
Item Type: Refine your search to only Paper
Partner: UNT College of Arts and Sciences
open access

A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models

Description: Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.
Date: March 10, 2020
Creator: Dong, Pinliang; Zhong, Ruofei; Xia, Jisheng & Tan, Shucheng
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx

Description: This study presents the integration of light detection and range (LiDAR) and hyperspectral remote sensing to create a three-dimensional bird habitat map in the Greenbelt Corridor of the Elm Fork of the Trinity River. This map permits to examine the relationship between forest stand structure, landscape heterogeneity, and bird community composition. A biannual bird census was conducted at this site during the breeding seasons of 2009 and 2010. Census data combined with the three-dimensional map … more
Date: August 2013
Creator: Matsubayashi, Shiho
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Ecological Responses to Severe Flooding in Coastal Ecosystems: Determining the Vegetation Response to Hurricane Harvey within a Texas Coast Salt Marsh

Description: Vegetative health was measured both before and after Hurricane Harvey using remotely sensed vegetation indices on the coastal marshland surrounding Galveston Island's West Bay. Data were recorded on a monthly basis following the hurricane from September of 2005 until September of 2019 in order to document the vegetation response to this significant disturbance event. Both initial impact and recovery were found to be dependent on a variety of factors, including elevation zone, spatial proximity … more
Date: August 2021
Creator: Hudman, Kenneth Russell
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Assessing the Impact of the Built-Up Environment on Nighttime Lights in China

Description: Article describes study investigating the effects of the built-up environment on artificial light at night, focusing on construction region environments on nighttime brightness and variation with building heights and regional economic development level in China.
Date: July 19, 2019
Creator: Wang, Cheng; Qin, Haiming; Zhao, Kaiguang; Dong, Pinliang; Yang, Xuebo; Zhou, Guoqing et al.
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Investigation on Segmentation, Recognition and 3D Reconstruction of Objects Based on LiDAR Data Or MRI

Description: Segmentation, recognition and 3D reconstruction of objects have been cutting-edge research topics, which have many applications ranging from environmental and medical to geographical applications as well as intelligent transportation. In this dissertation, I focus on the study of segmentation, recognition and 3D reconstruction of objects using LiDAR data/MRI. Three main works are that (I). Feature extraction algorithm based on sparse LiDAR data. A novel method has been proposed for feature extr… more
Date: May 2015
Creator: Tang, Shijun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada

Description: Change detection is amongst the most effective critical examination methods used in remote sensing technology. In this research, new methods are proposed for building and vegetation change detection using only LiDAR data without using any other remotely sensed data. Two LiDAR datasets from 2009 and 2013 will be used in this research. These datasets are provided by the City of Surrey. A Parcel map which shows parcels in the study area will be also used in this research because the objective of t… more
Date: December 2016
Creator: Yigit, Aykut
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation

Description: Population estimation in inter-censual years has many important applications. In this research, high-resolution pan-sharpened IKONOS image, LiDAR data, and parcel data are used to estimate small-area population in the eastern part of the city of Denton, Texas. Residential buildings are extracted through object-based classification techniques supported by shape indices and spectral signatures. Three population indicators -building count, building volume and building area at block level are deriv… more
Date: December 2009
Creator: Ramesh, Sathya
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Comparison of IKONOS Derived Vegetation Index and LiDAR Derived Canopy Height Model for Grassland Management.

Description: Forest encroachment is understood to be the main reason for prairie grassland decline across the United States. In Texas and Oklahoma, juniper has been highlighted as particularly opportunistic. This study assesses the usefulness of three remote sensing techniques to aid in locating the areas of juniper encroachment for the LBJ Grasslands in Decatur, Texas. An object based classification was performed in eCognition and final accuracy assessments placed the overall accuracy at 94%, a significant… more
Date: December 2009
Creator: Parker, Gary
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Urban surface characterization using LiDAR and aerial imagery.

Description: Many calamities in history like hurricanes, tornado and flooding are proof to the large scale impact they cause to the life and economy. Computer simulation and GIS helps in modeling a real world scenario, which assists in evacuation planning, damage assessment, assistance and reconstruction. For achieving computer simulation and modeling there is a need for accurate classification of ground objects. One of the most significant aspects of this research is that it achieves improved classificatio… more
Date: December 2009
Creator: Sarma, Vaibhav
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models

Description: This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).
Date: August 6, 2021
Creator: Dong, Pinliang; Xia, Jisheng; Zhong, Ruofei; Zhao, Zhifang & Tan, Shucheng
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences

Building a Digital Twin of the University of North Texas Using LiDAR and GIS Data

Description: Digital twins are virtual renditions of the actual world that include real-world assets, connections, activities, and processes. Recent developments in technologies play a key role in advancing the digital twin concept in urban planning, designing, and monitoring. Moreover, the latest developments in remote sensing technology have resulted in accurate city-scale light detection and ranging (LiDAR) data, which can be used to represent urban objects (buildings, vegetation, roads, and utilities), … more
This item is restricted from view until July 1, 2024.
Date: December 2023
Creator: Bhattacharjee, Shwarnali
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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