Examining Spatial Inequities In Green Space Distribution And Access Around The Historic City Of Savannah, Georgia.,
2020
Georgia Southern University
Examining Spatial Inequities In Green Space Distribution And Access Around The Historic City Of Savannah, Georgia., Chiamaka F. Chimah
College of Graduate Studies: Theses & Dissertations
Green space supports recreational activities and environmental sustainability which has proven to aid physical and social well-being as well as environmental health. However, spatial inequities are observed in the distribution and accessibility of urban green space. This norm identified as an environmental justice issue has left racial minorities and people of low socioeconomic status at a disadvantage. This study adopted a geospatial approach to assess green space quantity, quality, and accessibility, and generate a green space index. This research assessed the relationship between racial structure, socioeconomic characteristics and green space inequities in all municipalities in Chatham County, Georgia with a …
Mapping Surficial Geology In The New River Gorge National River And Bluestone National Scenic River, West Virginia, Using Lidar-Derived Digital Elevation Data,
2020
West Virginia University
Mapping Surficial Geology In The New River Gorge National River And Bluestone National Scenic River, West Virginia, Using Lidar-Derived Digital Elevation Data, Marla K. Denicola
Graduate Theses, Dissertations, and Problem Reports (ETD)
The purpose of this thesis was to determine if the surficial geology of Bluestone National Scenic River (BLUE) and New River Gorge National River (NERI), two areas of similar geology, can be mapped using visual interpretation methods applied to digital elevation models (DEMs) derived from light detection and ranging (LiDAR) data. Surficial geology in BLUE was field mapped using GPS, following definitions and characterizations for surficial geology units established with the guidance of Dr. J. Steven Kite. A 2m x 2m LiDAR-derived DEM was used for BLUE and most of NERI using US Army Corps of Engineers (USCOE) LiDAR data, …
Gendered Access To Wetland Gardens (Dimba) In Northern Malawi,
2020
WVU
Gendered Access To Wetland Gardens (Dimba) In Northern Malawi, Rhoda Nyirenda
Graduate Theses, Dissertations, and Problem Reports (ETD)
Due to increasing degradation of upland fields and in the face of erratic rains and increasing occurrence of droughts and floods and increasing food prices, smallholder farmers in many places across sub Saharan Africa engage in wetland cultivation for livelihoods security (Mutambikwa et al., 2000). A cultivatable wetland area is considered prime land, and a desired opportunity that every rural family need for the purpose of food production. Studies have indicated that wetland cultivation significantly contributes to household’s income and food security. Wetland agriculture, however, in Malawi and most of the sub-Saharan African countries is marred with issues of access …
A Feasibility Study On The Application Of Tvdi On Accessing Wildfire Danger In The Korean Peninsula,
2019
Chungnam National University
A Feasibility Study On The Application Of Tvdi On Accessing Wildfire Danger In The Korean Peninsula, Kwang Nyun Kim, Seung Hee Kim, Myoung Soo Won, Keun Chang Jang, Won Jun Choi, Yun Gon Lee
Mathematics, Physics, and Computer Science Faculty Articles and Research
Wildfire is a major natural disaster affecting socioeconomics and ecology. Remote sensing data have been widely used to estimate the wildfire danger with an advantage of higher spatial resolution. Among the several wildfire related indices using remote sensing data, Temperature Vegetation Dryness Index (TVDI) assesses wildfire danger based on both Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Although TVDI has physical advantages by considering both weather and vegetation condition, previous studies have shown TVDI does not performed well compare to other wildfire related indices over the Korean Peninsula. In this study we have attempted multiple modification to …
High-Resolution Intertidal Topography From Sentinel-2 Multi-Spectral Imagery: Synergy Between Remote Sensing And Numerical Modeling,
2019
Old Dominion University
High-Resolution Intertidal Topography From Sentinel-2 Multi-Spectral Imagery: Synergy Between Remote Sensing And Numerical Modeling, Md Jamal Uddin Khan, Md Nazmuddoha Ansary, Fabien Durand, Laurent Testut, Marufa Ishaque, Stéphane Calmant, Yann Krien, A.K.M. Saiful Islam, Fabrice Papa
OES Faculty Publications
The intertidal zones are well recognized for their dynamic nature and role in near-shore hydrodynamics. The intertidal topography is poorly mapped worldwide due to the high cost of associated field campaigns. Here we present a combination of remote-sensing and hydrodynamic modeling to overcome the lack of in situ measurements. We derive a digital elevation model (DEM) by linking the corresponding water level to a sample of shorelines at various stages of the tide. Our shoreline detection method is fully automatic and capable of processing high-resolution imagery from state-of-the-art satellite missions, e.g., Sentinel-2. We demonstrate the use of a tidal model …
Spatiotemporal Analysis Of Lake Water Quality Indicators On Small Lakes, Lake Bloomington And Evergreen Lake In Central Illinois, Using Satellite Remote Sensing,
2019
Illinois State University
Spatiotemporal Analysis Of Lake Water Quality Indicators On Small Lakes, Lake Bloomington And Evergreen Lake In Central Illinois, Using Satellite Remote Sensing, Gare Ambrose-Igho
Theses and Dissertations
This research explores the use of Sentinel-2 satellite to determine the spatiotemporal patterns of lake water quality indicators (e.g. chlorophyll a) in Lake Bloomington and Evergreen Lake. Lake water quality issues related to algal blooms is a serious problem in basins with abundant agricultural lands causing harmful effects to freshwater ecosystems such as pollution of beaches, taste and odor problems in drinking water, depletion of oxygen levels causing fish kills and the issue of water exceeding safe drinking water standards. Developing monitoring techniques using various water quality indicators of algal blooms is crucial. In this project, remote sensing and field …
Assessing Environmentally Sensitive Land To Desertification Using Medalus Method In Mongolia,
2019
Korea Environment Institute
Assessing Environmentally Sensitive Land To Desertification Using Medalus Method In Mongolia, Eun Jung Lee, Dongfan Piao, Cholho Song, Jiwon Kim, Chul-Hee Lim, Eunji Kim, Jooyeon Moon, Menas Kafatos, Munkhnsan Lamchin, Seong Woo Jeon, Woo-Kyun Lee
Mathematics, Physics, and Computer Science Faculty Articles and Research
Desertification is a global phenomenon caused by various processes, including climate change, vegetation processes, and human activities. The need to combat desertification is increasing in many countries. A reasonable assessment of the vulnerability or sensitivity of land cover to desertification at national scales is crucial to formulate appropriate strategies or policies for combating it. The main purpose of this work was to quantitatively assess the sensitivity of land cover to desertification in Mongolia using the MEDALUS approach. The MEDALUS method is a widely known technique for assessing desertification in the Mediterranean area. In this study, the method was adjusted to …
Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach,
2019
Boise State University
Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach, Hamid Dashti, Andrew Poley, Nancy Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Et. Al.
Michigan Tech Publications, Part 1
The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor to characterize dryland vegetation typically show low accuracy and lack robustness. In our study, we improved classification accuracy in a semi-arid ecosystem based on the use of vegetation optical (hyperspectral) and structural (lidar) information combined with the environmental characteristics of the landscape. To accomplish this goal, we used both spectral angle mapper (SAM) and multiple endmember spectral …
Urban Health Related Air Quality Indicators Over The Middle East And North Africa Countries Using Multiple Satellites And Aeronet Data,
2019
Alexandria University
Urban Health Related Air Quality Indicators Over The Middle East And North Africa Countries Using Multiple Satellites And Aeronet Data, Maram El-Nadry, Wenzhao Li, Hesham El-Askary, Mohamed A. Awad, Alaa Ramadan Awad
Mathematics, Physics, and Computer Science Faculty Articles and Research
Air pollution is reported as one of the most severe environmental problems in the Middle East and North Africa (MENA) region. Remotely sensed data from newly available TROPOMI - TROPOspheric Monitoring Instrument on board Sentinel-5 Precursor, shows an annual mean of high-resolution maps of selected air quality indicators (NO2, CO, O3, and UVAI) of the MENA countries for the first time. The correlation analysis among the aforementioned indicators show the coherency of the air pollutants in urban areas. Multi-year data from the Aerosol Robotic Network (AERONET) stations from nine MENA countries are utilized here to study the aerosol optical depth …
Determining Fire Severity Of The Santa Rosa, Ca 2017 Fire,
2019
California State University, Long Beach
Determining Fire Severity Of The Santa Rosa, Ca 2017 Fire, John Cortenbach, Richard Williams, Buddhika Madurapperuma
IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt
No abstract provided.
A Least Cost Analysis: Correlative Modeling Of The Chaco Regional Road System,
2019
University of Notre Dame
A Least Cost Analysis: Correlative Modeling Of The Chaco Regional Road System, Sean Field, Carrie Heitman, Heather Richards-Rissetto
Department of Anthropology: Faculty Publications
During the ninth through twelfth centuries A.D., Ancestral Pueblo people constructed long, straight roads that interconnected the Chaco regional system across the San Juan Basin of northwestern New Mexico. The intent and use of these features has eluded archaeological consensus, although recent research has reiterated the occurrence of long distance timber importation to Chaco Canyon. To enhance our interpretation of these features we offer a large-scale least cost analysis wherein optimal pathways that are modeled to simulate timber importation are compared to the actual road locations. A series of least cost paths were produced through different energy allocation algorithms, at …
Studying The Impact On Urban Health Over The Greater Delta Region In Egypt Due To Aerosol Variability Using Optical Characteristics From Satellite Observations And Ground-Based Aeronet Measurements,
2019
Chapman University
Studying The Impact On Urban Health Over The Greater Delta Region In Egypt Due To Aerosol Variability Using Optical Characteristics From Satellite Observations And Ground-Based Aeronet Measurements, Wenzhao Li, Elham Ali, Islam Abou Al-Magd, Moustafa Mohamed Mourad, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
This research addresses the aerosol characteristics and variability over Cairo and the Greater Delta region over the last 20 years using an integrative multi-sensor approach of remotely sensed and PM10 ground data. The accuracy of these satellite aerosol products is also evaluated and compared through cross-validation against ground observations from the AErosol RObotic NETwork (AERONET) project measured at local stations. The results show the validity of using Multi-angle Imaging Spectroradiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on the Terra and Aqua platforms for quantitative aerosol optical depth (AOD) assessment as compared to Ozone Monitoring Instrument (OMI), Sea-viewingWide Field-of-view …
The Importance Of Landscape Position Information And Elevation Uncertainty For Barrier Island Habitat Mapping And Modeling,
2019
Louisiana State University and Agricultural and Mechanical College
The Importance Of Landscape Position Information And Elevation Uncertainty For Barrier Island Habitat Mapping And Modeling, Nicholas Matthew Enwright
LSU Doctoral Dissertations
Barrier islands provide important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism. As a result, natural resource managers are concerned with monitoring changes to these islands and modeling future states of these environments. Landscape position, such as elevation and distance from shore, influences habitat coverage on barrier islands by regulating exposure to abiotic factors, including waves, tides, and salt spray. Geographers commonly use aerial topographic lidar data for extracting landscape position information. However, researchers rarely consider lidar elevation uncertainty when using automated processes for extracting elevation-dependent habitats from lidar data. …
The Structure And Dynamics Of A River Delta Are Related Through Its Nourishment Area, Suggesting Optimality,
2019
University of Arkansas, Fayetteville
The Structure And Dynamics Of A River Delta Are Related Through Its Nourishment Area, Suggesting Optimality, Christopher A. Cathcart
Graduate Theses and Dissertations
Scaling relations in tributary network geomorphology are well understood with respect to optimality. However, the scaling relations between structure and dynamics in distributary network geomorphology are less well understood. This is primarily due to the fact that nourishment area boundaries are difficult to map compared to tributary network catchment area boundaries. Furthermore, most previous work has focused either on the distributary channel networks or the delta’s partitioning of discharge. Here we show that, on the Wax Lake Delta (WLD) in Louisiana, the asymmetry in nourishment areas and downstream nourishment boundary width (∏) at a channel bifurcation, acts as a control …
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 …
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 …
