Lidar-Based Sinkhole Detection And Mapping In Knox County, Tennessee,
2019
University of Tennessee, Knoxville
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 …
Geographic And Climatic Attributions Of Autumn Land Surface Phenology Spatial Patterns In The Temperate Deciduous Broadleaf Forest Of China,
2019
Peking University, China
Geographic And Climatic Attributions Of Autumn Land Surface Phenology Spatial Patterns In The Temperate Deciduous Broadleaf Forest Of China, Weiguang Lang, Xiaoqiu Chen, Liang Liang, Shilong Ren, Siwei Qian
Geography Faculty Publications
Autumn vegetation phenology plays a critical role in identifying the end of the growing season and its response to climate change. Using the six vegetation indices retrieved from moderate resolution imaging spectroradiometer data, we extracted an end date of the growing season (EOS) in the temperate deciduous broadleaf forest (TDBF) area of China. Then, we validated EOS with the ground-observed leaf fall date (LF) of dominant tree species at 27 sites and selected the best vegetation index. Moreover, we analyzed the spatial pattern of EOS based on the best vegetation index and its dependency on geo-location indicators and seasonal temperature/precipitation. …
Coral Reef Change Detection In Remote Pacific Islands Using Support Vector Machine Classifiers,
2019
Chapman University
Coral Reef Change Detection In Remote Pacific Islands Using Support Vector Machine Classifiers, Justin J. Gapper, Hesham El-Askary, Erik Linstead, Thomas Piechota
Mathematics, Physics, and Computer Science Faculty Articles and Research
Despite the abundance of research on coral reef change detection, few studies have been conducted to assess the spatial generalization principles of a live coral cover classifier trained using remote sensing data from multiple locations. The aim of this study is to develop a machine learning classifier for coral dominated benthic cover-type class (CDBCTC) based on ground truth observations and Landsat images, evaluate the performance of this classifier when tested against new data, then deploy the classifier to perform CDBCTC change analysis of multiple locations. The proposed framework includes image calibration, support vector machine (SVM) training and tuning, statistical assessment …
A Geospatial Recipe For Identifying Social Values And Fragmentation Issues Of The Friends Of The Dunes Land Trust,
2019
Humboldt State University
A Geospatial Recipe For Identifying Social Values And Fragmentation Issues Of The Friends Of The Dunes Land Trust, Buddhika Madurapperuma, Jess Barger, Melissa Collin, Christine Emerson, Sean Fleming, Brian Murphy
Humboldt Journal of Social Relations
The beach and coastal sand dunes comprise a dynamic and fragile ecosystem that provides a bounty of ecological services. These lands provide protection from coastal erosion and sea level rise, and are home to a rich biodiversity of plant and animal species in addition to their recreational value. The Humboldt Coastal Nature Center and the surrounding coastal dunes (HCNC) are man-aged as a land trust by Friends of the Dunes (FOD). FOD prioritize the restoration of dune habitats and encourages public involvement through community supported education and stewardship programs, guided nature tours, and naturalist training programs. The faculty, students, and …
A Comparative Analysis Of Planetscope And Sentinel Sentinel-2 Space-Borne Sensors In Mapping Striga Weed Using Guided Regularised Random Forest Classification Ensemble,
2019
International Centre of Insect Physiology and Ecology Nairobi
A Comparative Analysis Of Planetscope And Sentinel Sentinel-2 Space-Borne Sensors In Mapping Striga Weed Using Guided Regularised Random Forest Classification Ensemble, B. T. Mudereri, T. Dube, E. M. Adel-Rahman, S. Niassy, E. Kimathi, Z. Khan, T. Landmann
All Peer-Reviewed Publications
Weeds are one of the major restrictions to sustaining crop productivity. Weeds often outcompete crops for nutrients, soil moisture, solar radiation, space and provide platforms for breeding of pests and diseases. The ever-growing global food insecurity triggers the need for spatially explicit innovative geospatial technologies that can deliver timely detection of weeds within agro-ecological systems. This will help pinpoint maize fields to be prioritized for weed control. Satellite remote sensing offers incomparable opportunities for precision agriculture, ecological applications and vegetation characterisation, with vast socioeconomic benefits. This work compares and evaluates the strength of Sentinel-2 (S2) satellite with the constellation of …
Real Time Habs Mapping Using Nasa Glenn Hyperspectral Imager,
2019
Michigan Technological University
Real Time Habs Mapping Using Nasa Glenn Hyperspectral Imager, Reid W. Sawtell, Robert Anderson, Roger Tokars, John D. Lekki, Robert Shuchman, Karl Bosse, Michael Sayers
Michigan Tech Publications, Part 1
The hyperspectral imaging system (HSI) developed by the NASA Glenn Research Center was used from 2015 to 2017 to collect high spatial resolution data over Lake Erie and the Ohio River. Paired with a vicarious correction approach implemented by the Michigan Tech Research Institute, radiance data collected by the HSI system can be converted to high quality reflectance data which can be used to generate near-real time (within 24 h) products for the monitoring of harmful algal blooms using existing algorithms. The vicarious correction method relies on imaging a spectrally constant target to normalize HSI data for atmospheric and instrument …
Spatial And Temporal Variability Of Inherent And Apparent Optical Properties In Western Lake Erie: Implications For Water Quality Remote Sensing,
2019
Michigan Technological University
Spatial And Temporal Variability Of Inherent And Apparent Optical Properties In Western Lake Erie: Implications For Water Quality Remote Sensing, Michael Sayers, Karl Bosse, Robert Shuchman, Steven A. Ruberg, Gary L. Fahnenstiel, George Leshkevich, Et Al.
Michigan Tech Publications, Part 1
Lake Erie has experienced dramatic changes in water quality over the past several decades requiring extensive monitoring to assess effectiveness of adaptive management strategies. Remote sensing offers a unique potential to provide synoptic monitoring at daily time scales complementing in-situ sampling activities occurring in Lake Erie. Bio-optical remote sensing algorithms require knowledge about the inherent optical properties (IOPs) of the water for parameterization to produce robust water quality products. This study reports new IOP and apparent optical property (AOP) datasets for western Lake Erie that encapsulate the May–October period for 2015 and 2016 at weekly sampling intervals. Previously reported IOP …
Determining Remote Sensing Spatial Resolution Requirements For The Monitoring Of Harmful Algal Blooms In The Great Lakes,
2019
NASA Glenn Research Center
Determining Remote Sensing Spatial Resolution Requirements For The Monitoring Of Harmful Algal Blooms In The Great Lakes, John Lekki, Eric Deutsch, Michael Sayers, Karl Bosse, Robert Anderson, Roger Tokars, Reid W. Sawtell
Michigan Tech Publications, Part 1
Harmful algal blooms (HABs) have become a major health and environmental concern in the Great Lakes. In 2014, severe HABs prompted the State of Ohio to request NASA Glenn Research Center (GRC) to assist with monitoring algal blooms in Lake Erie. The most notable species of HAB is Microcystis aeruginosa, a hepatotoxin producing cyanobacteria that is responsible for liver complications for humans and other fauna that come in contact with these blooms. NASA GRC conducts semiweekly flights in order to gather up-to-date imagery regarding the blooms' spatial extents and concentrations. Airborne hyperspectral imagery is collected using two hyperspectral imagers, HSI-2 …
Evaluating Visible Derivative Spectroscopy By Varimax-Rotated, Principal Component Analysis Of Aerial Hyperspectral Images From The Western Basin Of Lake Erie,
2019
Kent State University
Evaluating Visible Derivative Spectroscopy By Varimax-Rotated, Principal Component Analysis Of Aerial Hyperspectral Images From The Western Basin Of Lake Erie, Joseph D. Ortiz, Dulci M. Avouris, Stephan J. Schiller, Jeffrey C. Luvall, John D. Lekki, Roger P. Tokars, Robert C. Anderson, Robert Shuchman, Michael Sayers, Richard Becker
Michigan Tech Publications, Part 1
The Kent State University (KSU) spectral decomposition method provides information about the spectral signals present in multispectral and hyperspectral images. Pre-processing steps that enhance signal to noise ratio (SNR) by 7.37–19.04 times, enables extraction of the environmental signals captured by the National Aeronautics and Space Administration (NASA) Glenn Research Center's, second generation, Hyperspectral imager (HSI2) into multiple, independent components. We have accomplished this by pre-processing of Level 1 HSI2 data to remove stripes from the scene, followed by a combination of spectral and spatial smoothing to further increase the SNR and remove non-Lambertian features, such as waves. On average, …
Satellite Monitoring Of Harmful Algal Blooms In The Western Basin Of Lake Erie: A 20-Year Time-Series,
2019
Michigan Technological University
Satellite Monitoring Of Harmful Algal Blooms In The Western Basin Of Lake Erie: A 20-Year Time-Series, Michael Sayers, Amanda Grimm, Robert Shuchman, Karl Bosse, Gary L. Fahnenstiel, Steven A. Ruberg, George A. Leshkevich
Michigan Tech Publications, Part 1
Blooms of harmful cyanobacteria (cyanoHABs) have occurred on an annual basis in western Lake Erie for more than a decade. Previously, we developed and validated an algorithm to map the extent of the submerged and surface scum components of cyanoHABs using MODIS ocean-color satellite data. The algorithm maps submerged cyanoHABs by identifying high chlorophyll concentrations (>18 mg/m3) combined with water temperature >20 °C, while cyanoHABs surface scums are mapped using near-infrared reflectance values. Here, we adapted this algorithm for the SeaWiFS sensor to map the annual areal extents of cyanoHABs in the Western Basin of Lake Erie for the …
The Use Of Geospatial Modeling And Novel Diagnostics To Detect And Map Risk Factors Of Soil-Transmitted Helminths In Feira De Santana, Brazil,
2019
Louisiana State University and Agricultural and Mechanical College
The Use Of Geospatial Modeling And Novel Diagnostics To Detect And Map Risk Factors Of Soil-Transmitted Helminths In Feira De Santana, Brazil, Ryan Harry Avery
LSU Doctoral Dissertations
Soil-transmitted helminth (STH) infections impact billions of people worldwide. The traditional STH control approach is a morbidity control strategy implementing mass drug administration (MDA) programs targeting school-aged children (SAC). In Brazil, this control strategy has decreased STH prevalence to less than 20% in most of the country and providing an opportunity to transition from the morbidity control program and towards a surveillance and response system geared towards STH elimination. Surveillance and response systems geared towards elimination require the implementation higher accuracy diagnostics to detect infection in low-transmission communities, surveillance of entire households, high-resolution modeling at the household-habitat scale, and targeted …
Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery,
2019
Missouri State University
Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery, Daniel Shay Hostens
Graduate Theses/Dissertations
This research investigates the influence that various flight plan and mission design strategies for collecting small unmanned aerial system (sUAS) imagery have on the accuracy of the resulting three-dimensional models to find an optimal method to achieve a result. This research also explores the effect that using gradual selection to reduce the sparse point cloud has on product accuracy and processing details. Imagery was collected in the spring of 2018 during leaf-off conditions at six field sites along the North Fork of the White River. The aerial imagery was collected using a DJI Phantom Pro 4 sUAS. Four different image …
Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing,
2019
Missouri State University
Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing, Aric Addison Beehler
Graduate Theses/Dissertations
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 …
Detecting Coastal Marsh Change From Aerial Imagery Using Spectral And Textural Methods: Pascagoula River Estuary, Mississippi, 1955-2014,
2019
University of Southern Mississippi
Detecting Coastal Marsh Change From Aerial Imagery Using Spectral And Textural Methods: Pascagoula River Estuary, Mississippi, 1955-2014, Margaret Claire Bell Waldron
Master's Theses
As sea level rise accelerates, coastal marsh ecosystems are increasingly vulnerable. Vertical accretion rates must exceed or keep pace with rates of sea level rise to prevent transition to open water or inland migration of marsh vegetation. While some marsh systems along the northern Gulf of Mexico coast have remained stable, others, e.g., the marshes of the Louisiana Gulf Coast, have experienced high rates of conversion to open water. This study examined the historical extent of intertidal marsh at the mouth of the Pascagoula River in Jackson County, Mississippi to determine whether marsh extent changed during the period 1955-2014 and …
Potential Fossil Yield Classification (Pfyc) Survey Of Nevada Surficial Geology, And A Multi-Sensor, Remote Sensing, Change-Detection Study Of Land-Use/Land-Cover Urbanization Impacting The Las Vegas Formation Located In Northwestern Las Vegas Valley,
2019
University of Nevada, Las Vegas
Potential Fossil Yield Classification (Pfyc) Survey Of Nevada Surficial Geology, And A Multi-Sensor, Remote Sensing, Change-Detection Study Of Land-Use/Land-Cover Urbanization Impacting The Las Vegas Formation Located In Northwestern Las Vegas Valley, John Jayson Medema
UNLV Theses, Dissertations, Professional Papers, and Capstones
This thesis is a combination of two separate but related projects. The first project is a Potential Fossil Yield Classification (PYFC) survey. The PFYC is a Bureau of Land Management funded survey designed to synthesize paleontologic information into a geographic information system (GIS) as a distributable geodatabase. The database is designed to represent surficial geologic deposits contained in a polygon shapefile. Throughout the State of Nevada each polygon represents a mapped geologic unit at a scale of at least 1:250 k. Each mapped geologic unit is then assigned a “potential fossil yield classification”, a numerical ranking value of 1-5 based …
Identification Of Poverty Areas Through Satellite Imagery In Buraydah City In Al Qassim Region Of Saudi Arabia,
2019
Murray State University
Identification Of Poverty Areas Through Satellite Imagery In Buraydah City In Al Qassim Region Of Saudi Arabia, Amal A. Alfawzan
Scholars Week
No abstract provided.
An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification,
2019
Clark University
An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification, Aaron Meneghini
Sustainability and Social Justice
This study evaluates Sentinel-1 and Sentinel-2 remotely sensed images for tropical land cover classification. The dual polarized Sentinel-1 VV and VH backscatter images and four 10-meter multispectral bands of Sentinel-2 were used to create six land cover classification images across two study areas along the border of the Bolivian Pando Department and the Brazilian state of Acre. Results indicate that Sentinel-2 multispectral bands possess a higher overall performance in delineating land cover types than the Sentinel-1 backscatter bands. Sentinel-1 backscatter bands delineated land cover types based on their surficial properties but did not facilitate the separation of similarly textured classes. …
Lidar Predictive Modeling Of Kalapuya Mound Sites In The Calapooia Watershed, Oregon,
2019
Portland State University
Lidar Predictive Modeling Of Kalapuya Mound Sites In The Calapooia Watershed, Oregon, Tia Rachelle Cody
Dissertations and Theses
Archaeologists grapple with the problematic nature of archaeological discovery. Certain types of sites are difficult to see even in the best environmental conditions (e.g., low-density lithic scatters) and performing traditional archaeological survey is challenging in some environments, such as the dense temperate rain forests of the Pacific Northwest. Archaeologists need another method of survey to assess large areas and overcome environmental and archaeological barriers to site discovery in regions like the Pacific Northwest. LiDAR (light detection and ranging) technology, a method for digitally clearing away swaths of vegetation and surveying the landscape, is one possible solution to some of these …
Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar,
2019
Air Force Institute of Technology
Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar, Christopher Vergara
Theses and Dissertations
The lack of situational awareness within an operational environment is a problem that carries high risk and expensive consequences. Radio Tomographic Imaging (RTI) and noise radar are two proven technologies capable of through-wall imaging and foliage penetration. The intent of this thesis is to provide a proof of concept for the fusion of data from RTI and noise radar. The output of this thesis will consist of a performance comparison between the two technologies followed by the derivation of a fusion technique to produce a single image. Proposals have been made for the integration of multiple-input multiple-output (MIMO) radar with …
Flood Resilience Assessment Of New Orleans After Hurricane Katrina Based On Thermal And Vegetation Index Image Time Series,
2019
Louisiana State University and Agricultural and Mechanical College
Flood Resilience Assessment Of New Orleans After Hurricane Katrina Based On Thermal And Vegetation Index Image Time Series, Yirui Deng
LSU Master's Theses
Resilience is a concept with increasing importance in modern risk management because of its role in reducing risks of unpreventable disasters. Previous resilience assessment studies often require extensive surveys of various social, economic, and psychological data or incorporate remote sensing data as one of the complicated physical and social parameters for assessment models. Limited data accessibility to such data due to funding, time, and labor intensity is a major challenge for their wider applications. Therefore, this study proposes the hypothesis that the overall resilience of an urban area to disturbances of natural disasters can be reflected through the time series …
