Digital Commons Network^™

Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell

The Geographical Bulletin

Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …

Development Of Latitude/Longitude (And Route/Milepost) Model For Positioning Traffic Management Cameras, Jijo K. Mathew, Haydn Malackowski, Yerassyl Koshan, Christopher Gartner, Jairaj Desai, Howell Li, Edward Cox, Ayman Habib, Darcy M. Bullock

JTRP Technical Reports

Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras and perhaps some presets. During real-time incident dispatching, reducing the time it takes to identify …

Uav Mapping Vs Manned Aerial Mapping, Calvin O. Walters Jr.

Publications and Research

As the technological capacities and capabilities of geospatial data acquisition enhance employing Unmanned Aerial Vehicles (UAVs), geospatial data users must now wrestle with whether it is more beneficial to utilize UAVs to map, chart, survey, examine, and record an area's topography and graphical features or stick with the traditional method of Manned Aerial Mapping (MAM) aircraft for better aerial data acquisition. Factors such as project scope, location, size, budget, accessibility, time constraints, and project site security and accessibility play a significant role in selecting which method would bring the best results. The December 2013 Spuyten Duyvil derailment and Tottenville, Staten …

Analyzing Landslide Hotspots And Susceptibility In East Tennessee Transportation Corridors, Megan Palmer, Arpita Nandi, Ingrid Luffman

Appalachian Student Research Forum

Landslides in the Southern Appalachian Mountains of East Tennessee often activate and reactivate. Often triggered by high-intensity or prolonged rainfall, landslides are responsible for infrastructure damage, closure of transportation routes, and even fatality. The study area is defined by the New River Watershed which has high elevation and steep slopes cutting through State Route 116. The route has hairpin turns and has experienced damage from past landslide events. The geology here is mostly shale and sandstones with coal bedding throughout. Much of the soil consists of a fine-loamy texture. Most drainage occurs from the New River, fed by runoff from …

Autonomous 3d Urban And Complex Terrain Geometry Generation And Micro-Climate Modelling Using Cfd And Deep Learning, Tewodros F. Alemayehu

Electronic Thesis and Dissertation Repository

Sustainable building design requires a clear understanding and realistic modelling of the complex interaction between climate and built environment to create safe and comfortable outdoor and indoor spaces. This necessitates unprecedented urban climate modelling at high temporal and spatial resolution. The interaction between complex urban geometries and the microclimate is characterized by complex transport mechanisms. The challenge to generate geometric and physics boundary conditions in an automated manner is hindering the progress of computational methods in urban design. Thus, the challenge of modelling realistic and pragmatic numerical urban micro-climate for wind engineering, environmental, and building energy simulation applications should address …

Integrating Lidar, Aeromagnetic, And Geological Field Data To Identify Structural-Lithologic Elements Within The Archean Carney Lake Gneiss Complex, Ian M. Gannon

Dissertations, Master's Theses and Master's Reports

The Archean Carney Lake Gneiss Complex (CLGC) is a suite of rocks on the southern margin of the Superior Province and within the Minnesota River Valley subprovince. It is one of many gneissic domes in Michigan, Wisconsin, and Minnesota whose complex geology is poorly understood due to a previous lack of economic interest in gneissic terranes and significant challenges to their investigation. As a consequence, the CLGC and other gneissic domes in the region are represented on geologic maps as undifferentiated masses surrounded by better defined and understood Paleoproterozoic supracrustal rocks and igneous intrusions. Within the last ten years, however, …

Use Of High-Resolution Multi-Temporal Dem Data For Landslide Detection, Behnam Azmoon, Aynaz Biniyaz, Zhen (Leo) Liu

Michigan Tech Publications

Landslides in urban areas have been relatively well-documented in landslide inventories despite issues in accuracy and completeness, e.g., the absence of small landslides. By contrast, less attention has been paid to landslides in sparsely populated areas in terms of their occurrences and locations. This study utilizes high-resolution and LiDAR-derived digital elevation models (DEMs) at two different times for landslide detection to (1) improve the localization and detection accuracies in landslide inventories, (2) minimize human intervention in the landslide detection process, and (3) identify landslides that cannot be easily documented in the current state of the practice. To achieve this goal, …

Differentiating Fissure-Fed Lava Flow Types And Facies Using Radar And Lidar: An Example From The 2014–2015 Holuhraun Lava Flow-Field, Gavin Douglas Tolometti, Catherine D. Neish, Christopher W. Hamilton, Gordon R. Osinski, Antero Kukko, Joana R.C. Voigt

Earth Sciences Publications

Distinguishing between lava types and facies using remote sensing data is important for interpreting the emplacement history of lava flow-fields on Earth and other planetary bodies. Lava facies typically include a mixture of lava types and record the collective emplacement history of material preserved at a particular location. We seek to determine if lava facies in the 2014–2015 Holuhraun lava flow-field are discernible using radar roughness analysis. Furthermore, we also seek to distinguish between lava types using high resolution Light Detection and Ranging (LiDAR) data. We extracted circular polarization ratios (CPR) from the Uninhabited Aerial Vehicle Synthetic Aperture Radar and …

Uav Position Estimation Using A Lidar-Based 3d Object Detection Method, Uthman Oladipo Olawoye

Graduate Theses, Dissertations, and Problem Reports

LiDAR-based object detection methods have drawn sufficient attention from academia and industry due to the increase in the use of the LiDAR sensor for autonomous driving. Insensitivity to light and the ability to capture high spatial information of the encircling environment coupled with the steady reduction in purchase cost are features that make the LiDAR appealing for autonomous driving. The detection methods can process and evaluate the sensor data to identify objects and calculate the relative position of the objects to the sensor. While these methods are currently applied to autonomous driving, they could also be used in robotics for …

Multi-Scale Assessment Of Gully Erosion At Road Drainage Outlets, Emma Louise Estabrook

Graduate College Dissertations and Theses

Gully erosion and sediment deposition from roads are underrated sources of sediments entering receiving waterways. While gully erosion has been studied throughout the world, the monitoring of the temporal and spatial erosional processes related to culverts and road drainage is rare. The objectives of this study are to quantify rates of gully erosion from Vermont’s transportation drainage networks at multiple temporal scales and report on insights gained from a multi-scale approach to monitoring gully erosion. To quantify event to seasonal timescales of gully erosion, high resolution terrestrial LiDAR surveys were conducted at 13 field sites. Field sites were monitored at …

Historical Changes Of Channel Width In A Headwater Stream System, Mark Twain National Forest, Missouri, Sierra N. Casagrand

MSU Graduate Theses

It is well known that watershed disturbances due to land clearing and agricultural settlement during the early 1800s changed the hydrology and geomorphology of stream systems in the Midwestern USA. However, little is known about the impacts of historical logging on stream systems in forested watersheds. This study evaluates channel width measurements from 38 General Land Office (GLO) surveys completed in 1821, aerial photographs from the 1930’s to present, and LiDAR imagery from 2016/17 to evaluate changes in channel morphology in Big Barren Creek in Mark Twain National Forest in the Ozarks Highlands of southeast Missouri. The area was heavily …

Uses And Challenges Of Collecting Lidar Data From A Growing Autonomous Vehicle Fleet: Implications For Infrastructure Planning And Inspection Practices, Md Ashikur Rahman

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Autonomous vehicles (AVs) that utilize LiDAR (Light Detection and Ranging) and other sensing technologies are becoming an inevitable part of transportation industry. Concurrently, transportation agencies are increasingly challenged with the management and tracking of large-scale highway asset inventory. LiDAR has become popular among transportation agencies for highway asset management given its advantage over traditional surveying methods. The affordability of LiDAR technology is increasing day by day. Given this, there will be substantial challenges and opportunities for the utilization of big data resulting from the growth of AVs with LiDAR. A proper understanding of the data size generated from this technology …

Bicknell's Thrush Habitat Use On Commercial Forests In Maine, Usa, Kaitlyn Wilson

Electronic Theses and Dissertations

Forest reliant species may be significantly impacted by forest management practices. Understanding these impacts, and whether they are positive or negative, requires a species- specific understanding of habitat use. Bicknell’s thrush (Catharus bicknelli) is a range-restricted habitat specialist occurring in balsam fir (Abies balsamea) dominated montane forests that have been recently disturbed and are undergoing successional growth. While research investigating this species’ habitat use has been conducted throughout much of its breeding range, knowledge of Bicknell’s thrush habitat use in Maine is lacking. Greater understanding of habitat use in Maine would improve the ability of forest managers to promote conservation …

Spatial And Topological Analysis Of Urban Land Cover Structure In New Orleans Using Multispectral Aerial Image And Lidar Data, Shuxian Liu

LSU Master's Theses

Urban land use and land cover (LULC) mapping has been one of the major applications in remote sensing of the urban environment. Land cover refers to the biophysical materials at the surface of the earth (i.e. grass, trees, soils, concrete, water), while land use indicates the socio-economic function of the land (i.e., residential, industrial, commercial land uses). This study addresses the technical issue of how to computationally infer urban land use types based on the urban land cover structures from remote sensing data. In this research, a multispectral aerial image and high-resolution LiDAR topographic data have been integrated to investigate …

Predictive Geohazard Mapping Using Lidar And Satellite Imagery In Missouri And Oklahoma, Usa, Olufeyisayo B. Ilesanmi

Doctoral Dissertations

”Light Detection and Ranging (LiDAR) and satellite imagery have become the most utilized remote sensing technologies for compiling inventories of surficial geologic conditions. Point cloud data obtained from multi-spectral remote sensing methods provide a detailed characterization of the surface features, in particular, the detailed surface manifestations of underlying geologic structures. When combined, point clouds eliminate bias from visual inconsistencies and/or statistical values. This research explores the competence of point clouds derived from LiDAR and Unmanned Aerial Systems (UAS) as a predictive tool in evaluating various geohazards. It combines these data sets with other remote sensing techniques to evaluate the sensitivity …

Integrating Lidar Data And Multi-Temporal Aerial Imagery To Map Wetland Inundation Dynamics Using Google Earth Engine, Qiusheng Wu, Charles B. Lane, Xuecao Li, Kaiguang Zhao, Yuyu Zhou, Nicholas Clinton, Ben Devries, Heather E. Golden, Megan W. Lang

United States Environmental Protection Agency: Staff Publications

The Prairie Pothole Region of North America is characterized by millions of depressional wetlands, which provide critical habitats for globally significant populations of migratory waterfowl and other wildlife species. Due to their relatively small size and shallow depth, these wetlands are highly sensitive to climate variability and anthropogenic changes, exhibiting inter- and intra-annual inundation dynamics. Moderate-resolution satellite imagery (e.g., Landsat, Sentinel) alone cannot be used to effectively delineate these small depressional wetlands. By integrating fine spatial resolution Light Detection and Ranging (LiDAR) data and multi-temporal (2009–2017) aerial images, we developed a fully automated approach to delineate wetland inundation extent at …

Lidar-Based Sinkhole Detection And Mapping In Knox County, Tennessee, J Clint Shannon, David Moore, Yingkui Li, Cathy Olsen

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

Sinkholes are one of the major causes of damage to roads, buildings, and other infrastructure throughout the US. Sinkholes near or on roads are especially costly and occasionally deadly. Knox County and much of East Tennessee are located within karst areas (comprised of porous and soluble limestone and dolomite), deeming it at risk for sinkholes. Currently, Knox County uses contour maps to manually identify sinkholes. Supported by a geographic information system (GIS), we developed a streamlined model to identify the locations and extents of potential sinkholes using 1.3-ft resolution LiDAR (Light Detection and Ranging) data and applied it to the …

Mapping Maya Hinterlands: Lidar Derived Visualization To Identify Small Scale Features In Northwestern Belize, Jeremy Mcfarland, Marisol Cortes-Rincon Ph.D.

Humboldt Journal of Social Relations

This paper will discuss the processes and methods of relief visualization of LiDAR-derived digital elevation models (DEM’s) and classification of secondary data to identify archaeological remains on the ancient Maya landscape in northwestern Belize. The basis of the research explores various Geographic Information System (GIS) and cartographic techniques to visualize topographical relief. Graphic terrain maps assist archaeologists with predictive settlement patterns. The Relief Visualization Toolbox (RVT 1.3) aids to visualize raster DEM datasets in the predictive identification and interpretation of small-scale archaeological features. This dataset and methodology can be utilized to answer questions of population estimates, mobility costs, and effectiveness …

Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing, Aric Addison Beehler

MSU Graduate Theses

This study applies theoretical findings relating greenway trail viewshed characteristics to a proposed greenway trail. Utilizing geographic information systems and remote sensing techniques, this study compares the viewshed characteristics of two proposed routes to connect an existent greenway trail system to Wilson’s Creek National Battlefield in Greene County, MO. Light Detection and Ranging data is then used to map the viewshed of each route and calculate the openness and interconnectedness of each viewshed. High-resolution multispectral imagery is then used to calculate the Normalized Difference Vegetation Index measuring the “greenness” within each viewshed. Finally, parcel-level land use data is used to …

Deep Learning Methods For 3d Aerial And Satellite Data, Mohammed A. Yousefhussien

Theses

Recent advances in digital electronics have led to an overabundance of observations from electro-optical (EO) imaging sensors spanning high spatial, spectral and temporal resolution. This unprecedented volume, variety, and velocity is overwhelming our capacity to manage and translate that data into actionable information. Although decades of image processing research have taken the human out of the loop for many important tasks, the human analyst is still an irreplaceable link in the image exploitation chain, especially for more complex tasks requiring contextual understanding, memory, discernment, and learning. If knowledge discovery is to keep pace with the growing availability of data, new …

Development Of A Methodology For The Evalutation Of Uav-Based Photogrammetry: Implementation At An Underground Mine, Rachel Becker

Graduate Theses & Non-Theses

Autonomous systems in underground mining are increasingly being implemented as tools to collect data in inaccessible areas and improve the safety of mine personnel. There are many areas in the underground mining environment that cannot be accessed by personnel due to the high potential for ground fall and insufficient ground support. By combining unmanned aerial vehicles (UAVs) with technologies such as photogrammetry and LiDAR (Light Detection and Ranging) scanners, 3D point clouds can be created for inaccessible sites. A 3D digital point cloud can provide valuable geotechnical information such as the ability to measure discontinuities, inspect rock conditions, generate accurate …

Tropical Forest Canopy Height And Aboveground Biomass Estimation Using Airborne Lidar And Landsat-8 Data, A Sensitivity Study With Respect To Landsat-8 Data Temporal Availability, In Mai Ndombe Province, Democratic Republic Of Congo, Herve B. Kashongwe

Electronic Theses and Dissertations

Tropical forests’ structure information, such as forest canopy height, is a key component in any estimate of carbon stock. Tropical rainforests constitute the most forested ecosystems that harbor the largest biodiversity on Earth and store more carbon (above and belowground biomass) than any other ecosystem in the world. However, estimates of forest canopy structure is lacking over most of the regions that host this ecosystem because of both the structure’s complexity of this ecosystems and the incomplete or lack of up-to-date national forest inventory data necessary to derive forest canopy height and aboveground biomass. This study explores the capability of …

Predicting Spawning Habitat For Coho Salmon (Oncorhynchus Kisutch), Chinook Salmon (Oncorhynchus Tshawytscha), And Steelhead (Oncorhynchus Mykiss) Using Geospatially Constructed Stream Morphology From High-Resolution Lidar-Derived Digital Elevation Model And Field Survey Data In The Indian Creek Watershed, Mendocino County, California, Justin Patrick Bissell Mr.

Cal Poly Humboldt theses and projects

Restoration of anadromous salmonid habitat is of primary importance to the economic, historical, and cultural geography of the Pacific Northwest. Derivation and use of geospatial habitat models as guides to pinpoint key areas where limited restoration funding can be cost-effectively employed is of great importance. To this purpose, 1 meter resolution lidar-derived Digital Elevation Model data was acquired for the Indian Creek and neighboring watersheds in Mendocino County, California, and used together with field-acquired geomorphic stream data to geospatially model stream widths, depths, and streambank morphology. These geospatial covariates were field-verified in selected locations and then used in conjunction with …

Forestry And Arboriculture Applications Using High-Resolution Imagery From Unmanned Aerial Vehicles (Uav), Brian A. Ritter

All Dissertations

Forests cover over one-third of the planet and provide unmeasurable benefits to the ecosystem. Forest managers have collected and processed countless amounts of data for use in studying, planning, and management of these forests. Data collection has evolved from completely manual operations to the incorporation of technology that has increased the efficiency of data collection and decreased overall costs. Many technological advances have been made that can be incorporated into natural resources disciplines. Laser measuring devices, handheld data collectors and more recently, unmanned aerial vehicles, are just a few items that are playing a major role in the way data …

Improving Sinkhole Mapping Using Lidar Data And Locating Sinkhole Hotspots In Johnson City, Tn, Kingsley Fasesin

Electronic Theses and Dissertations

Predicting infrastructure damage and economic impact of sinkholes requires high accuracy mapping distribution and development. The study mapped sinkholes and sinkhole hotpsots in Johnson City, TN using LiDAR-derived Digital Elevation Model (DEM) and a database of known sinkholes which were matched to LiDAR-derived depressions. For all matched depressions (n = 404), three metrics were calculated: circularity index, ratio of length to width of the Minimum Bounding Rectangle (MBR) and percent coverage of the MBR by the depression, and 3,634 new sinkholes were identified. Newly developed hotspots were identified in north Johnson City and other areas in the south near the …

Multi‐Modal Analysis Of Deciduous Tree Stands Toward Ash Tree Inventory: Biomass Estimation And Genus‐Level Discrimination In A Mixed Deciduous Forest, Timothy D. Rupright

Theses

The invasive species Agrilus planipennis (Emerald Ash Borer or EAB) is currently impacting ash trees in a large part of the continental United States. One way of measuring the effect of this infestation on the US markets is to determine the spread of the species and the biomass destruction/loss due to this invasive pest. In order to assess such impacts, it is necessary to determine how and where ash trees are located toward accurately measuring the relevant ash species biomass and tree count.

This study utilizes data captured over the campus of Rochester Institute of Technology in Rochester, NY. Hyperspectral …

Development Of Data Archiving And Distribution System For The Philippines' Lidar Program Using Object Storage Systems, Ken Abryl Eleazar Salanio, Carlo Santos, Ruby Magturo, Gene Paul Quevedo, Kenan Virtucio, Kenneth Langga, Mark Edwin Tupas, Enrico Paringit

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions, lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived data sets, a concurrent program on resource assessment was also initiated, aimed to produce essential products that can be used in urban planning, resource planning, and other purposes these geospatial data might be able to provide. As a result, both programs produce immensely sizable datasets due for storage and distribution. Compiling them as one large …

Lidar-Based Mobile Mapping System For Lane Width Estimation In Work Zones, Ayman Habib, Yun-Jou Lin, Radhika Ravi, Tamer Shamseldin, Magdy Elbahnasawy

JTRP Technical Reports

Lane width evaluation is one of the crucial aspects in road safety inspection. Moreover, lane width is one of the most important attributes of a road digital map for many applications, such as driver assistance systems and risk assessment. Using mobile mapping systems (MMSs) equipped with laser scanners is a safe and cost-effective method for rapidly collecting detailed information about various characteristics along any transportation corridor. This report presents an approach to derive lane width estimates using point clouds acquired from a calibrated mobile mapping system. To derive point clouds with high positional accuracy, estimation of the mounting parameters relating …

Estimating Mangrove Canopy Height And Above-Ground Biomass In The Everglades National Park With Airborne Lidar And Tandem-X Data, Emanuelle A. Feliciano, Shimon Wdowinski, Matthew D. Potts, Seung Kuk Lee, Temilola E. Fatoyinbo

Department of Earth and Environment

Mangrove forests are important natural ecosystems due to their ability to capture and store large amounts of carbon. Forest structural parameters, such as canopy height and above-ground biomass (AGB), provide a good measure for monitoring temporal changes in carbon content. The protected coastal mangrove forest of the Everglades National Park (ENP) provides an ideal location for studying these processes, as harmful human activities are minimal. We estimated mangrove canopy height and AGB in the ENP using Airborne LiDAR/Laser (ALS) and TanDEM-X (TDX) datasets acquired between 2011 and 2013. Analysis of both datasets revealed that mangrove canopy height can reach up …

The Application Of Lidar To Assessment Of Rooftop Solar Photovoltaic Deployment Potential In A Municipal District Unit, Ha T. Nguyen, Joshua M. Pearce, Rob Harrap, Gerald Barber

Joshua M. Pearce

A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated solar photovoltaic (PV) deployment analysis on the regional scale. Challenges in urban information extraction and management for solar PV deployment assessment are determined and quantitative solutions are offered. This paper provides the following contributions: (i) a methodology that is consistent with recommendations from existing literature advocating the integration of cross-disciplinary competences in remote sensing (RS), GIS, computer vision and urban environmental studies; (ii) a robust methodology that can work with low-resolution, incomprehensive data and reconstruct vegetation and building separately, but concurrently; (iii) recommendations for future …