DePaul University
Western Michigan University
South Dakota State University
Clark University
University of Arkansas, Fayetteville
Timing And Magnitude Of Drought Impacts On Carbon Uptake Across A Grassland Biome,
2023
Chapman University
Timing And Magnitude Of Drought Impacts On Carbon Uptake Across A Grassland Biome, Andrew Felton, Gregory R. Goldsmith
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Although drought is known to negatively impact grassland functioning, the timing and magnitude of these impacts within a growing season remains unresolved. Previous small-scale assessments indicate grasslands may only respond to drought during narrow periods within a year; however, large-scale assessments are now needed to uncover the general patterns and determinants of this timing. We combined remote sensing datasets of gross primary productivity and weather to assess the timing and magnitude of grassland responses to drought at 5 km2 temporal resolution across two expansive ecoregions of the western US Great Plains biome: the C4-dominated shortgrass steppe and …
Estimating Solar Energy Production In Urban Areas For Electric Vehicles,
2023
American University in Cairo
Estimating Solar Energy Production In Urban Areas For Electric Vehicles, Shaimaa Ahmed
Theses and Dissertations
Cities have a high potential for solar energy from PVs installed on buildings' rooftops. There is an increased demand for solar energy in cities to reduce the negative effect of climate change. The thesis investigates solar energy potential in urban areas. It tries to determine how to detect and identify available rooftop areas, how to calculate suitable ones after excluding the effects of the shade, and the estimated energy generated from PVs. Geographic Information Sciences (GIS) and Remote Sensing (RS) are used in solar city planning. The goal of this research is to assess available and suitable rooftops areas using …
Correlation Of Road Network Structure And Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets,
2022
CUNY New York City College of Technology
Correlation Of Road Network Structure And Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets, Li Geng, Ke Zhang
Publications and Research
Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the formation of road network structure and the accessibility of the latter shapes the patterns of movement flow across urban space. In this paper, we perform an exploratory study on the relationship between the street network structure and the intensity of human movement in urban areas. We focus on two cities and we utilize a dataset of geo-tagged tweets that can form a proxy to urban mobility and the corresponding street networks as obtained from OpenStreetMap. We …
Relative Importance Of Radar Variables For Nowcasting Heavy Rainfall: A Machine Learning Approach,
2022
Chapman University
Relative Importance Of Radar Variables For Nowcasting Heavy Rainfall: A Machine Learning Approach, Yi Victor Wang, Seung Hee Kim, Geunsu Lyu, Choeng-Lyong Lee, Gyuwon Lee, Ki-Hong Min, Menas C. Kafatos
Institute for ECHO Articles and Research
Highly short-term forecasting, or nowcasting, of heavy rainfall due to rapidly evolving mesoscale convective systems (MCSs) is particularly challenging for traditional numerical weather prediction models. To overcome such a challenge, a growing number of studies have shown significant advantages of using machine learning (ML) modeling techniques with remote sensing data, especially weather radar data, for high-resolution rainfall nowcasting. To improve ML model performance, it is essential first and foremost to quantify the importance of radar variables and identify pertinent predictors of rainfall that can also be associated with domain knowledge. In this study, a set of MCS types consisting of …
Possible Overestimation Of Nitrogen Dioxide Outgassing During The Beirut 2020 Explosion,
2022
King Fahd University of Petroleum, and Minerals
Possible Overestimation Of Nitrogen Dioxide Outgassing During The Beirut 2020 Explosion, Ashraf Farahat, Nayla El-Kork, Ramesh P. Singh, Feng Jing
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
On 4 August 2020, a strong explosion occurred near the Beirut seaport, Lebanon and killed more than 200 people and damaged numerous buildings in the vicinity. As Amonium Nitrate (AN) caused the explosion, many studies claimed the release of large amounts of NO2 in the atmosphere may have resulted in a health hazard in Beirut and the vicinity. In order to reasonably evaluate the significance of NO2 amounts released in the atmosphere, it is important to investigate the spatio-temporal distribution of NO2 during and after the blast and compare it to the average day-to-day background emissions from …
Mapping Forest Structure In Mississippi Using Lidar Remote Sensing,
2022
Mississippi State University
Mapping Forest Structure In Mississippi Using Lidar Remote Sensing, Nitant Rai
Theses and Dissertations
This study aimed at evaluating the agreement of spaceborne Light Detection and Ranging (lidar) ICESat-2 canopy height with Airborne Laser Scanning (ALS) derived canopy height to inform about the performance of ICESat-2 canopy height metrics and understand its uncertainties and utilities. The agreement was assessed for different forest types, physiographic regions, a range of percent canopy cover, and diverse disturbance histories. Results of this study suggest that best agreements are found using strong beam data collected at night for canopy height retrieval using ICESat-2. The ICESat-2 showed great potential for estimating canopy heights, particularly in evergreen forests with high canopy …
Geologic Mapping Of The Sparta 7.5-Minute Quadrangle In Northern Mississippi Via Remote Sensing, Traditional Geologic Survey, And Applied Geospatial Information Systems Methods,
2022
Mississippi State University
Geologic Mapping Of The Sparta 7.5-Minute Quadrangle In Northern Mississippi Via Remote Sensing, Traditional Geologic Survey, And Applied Geospatial Information Systems Methods, Rayford Dean Parnell
Theses and Dissertations
Traditional geologic mapping involves substantial time and labor in the field as geologic contacts are manually examined and interpreted. The processes of mapping geologic contacts can be condensed into a quicker and less laborious process using advances in remote sensing and GIS (geospatial information systems), including increased resolution and computerized data management and interpretation. Application of these advances reduces the costs and time of geologic mapping. The Sparta 7.5-minute quadrangle provides a mostly unaltered view of regional Paleocene and Upper Cretaceous geology due to its rural locale, lack of development, and stream topography. Recently LiDAR (Light Detection And Ranging) survey …
Lidar Field Data Collection For 3d Cartography,
2022
Kennesaw State University
Lidar Field Data Collection For 3d Cartography, Danny Jang
Symposium of Student Scholars
Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.
Spatiotemporal Change Detection Of The Alpine Meadows At Holcomb Valley, San Bernardino Mountain National Forest, Using Gis And Remote Sensing Techniques,
2022
California State University, San Bernardino
Spatiotemporal Change Detection Of The Alpine Meadows At Holcomb Valley, San Bernardino Mountain National Forest, Using Gis And Remote Sensing Techniques, Rama Ewing
Electronic Theses, Projects, and Dissertations
Holcomb Valley, with a general elevation between 2200-2257m, is in the Northeast of Big Bear Lake in the San Bernardino Mountains. Holcomb Valley is covered by Alpine meadows, unlike most mountain landscapes, which are rarely found in Mediterranean climates such as California. The cultural-environmental history of the San Bernardino Mountains in the past century speaks of intense anthropogenic activities such as timbering, grazing, gold mining, and extreme climate changes (i.e., drought, fires, floods). A study is conducted to identify and calculate the changes in the Alpine meadows at Holcomb Valley. The climatical data has been acquired to compute and visualize …
Studying Factors Of Environmental Injustice And Ways To Achieve Equity,
2022
CUNY New York City College of Technology
Studying Factors Of Environmental Injustice And Ways To Achieve Equity, Arham Hussain, Reginald Metellus
Publications and Research
In today's day of age, the biggest concern for current and future generations: the environment. The urban heat island (UHi) with its significant energy, health, and societal impacts is among the major environmental issues in urban regions, especially in historically underserved and socially vulnerable communities (HUSVCs). In the 1930s, the former federal agency, Homeowners' Loan Corporation (H0Lq, created ''Residential Security" maps of major cities, known today as "redlined" areas. These neighborhoods were often designated as "hazardous" due to the high percentages of people of color living there, leading to systematic disinvestment based on race. While the program ended in 1968, …
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia),
2022
National Institute of Marine Sciences and Technologies, Tunisia
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia), Sabrine Sahbani, Béchir Béjaoui, Sihem Benabdalla, Rachid Toujani, Afef Fathalli, Noureddine Zaaboub, Jalel Aouissi, Zeineb Kassouk, Nabil Hamdi, Nabiha Ben Mbarek, Hechmi Missaoui, Leila Basti, Reginald Blake, Hamidreza Norouzi
Publications and Research
Tunisia's Ichkeul Lake is among the most productive ecosystems in the Mediterranean, with a great regional value thanks to its diversity of habitats. It is an important overwintering area for waterfowl species. It is a RAMSAR wetland, a National Park, a UNESCO World Heritage, and a Biosphere Reserve. This review paper provides a broad overview of the climatic, hydraulic, biogeochemical features, bio-resources, and bio-productivity of the Lake. The interconnectivity between the different environmental components of the lake is presented, highlighting the main characteristics of this vital ecosystem. Its ecosystem consists of a permanent lake bordered by temporary marshes. It is …
Delineating Field Variation Using Apparent Electrical Conductivity In An Ozark Highlands Agroforestry System,
2022
University of Arkansas, Fayetteville
Delineating Field Variation Using Apparent Electrical Conductivity In An Ozark Highlands Agroforestry System, Shane Reid Ylagan
Graduate Theses and Dissertations
Little to no work has been conducted assessing field variability using repeated electromagnetic induction (EMI) apparent electrical conductivity (ECa) surveys in agroforestry (AF) systems within regions similar to the Ozark Highlands. The objectives of this thesis were to identify i) spatiotemporal ECa variability; ii) ECa-derived soil management zones (SMZs); iii) correlations among EMI-ECa and in-situ, sentential-site soil properties; iv) whether fewer, EMI-ECa surveys could be conducted to capture similar ECa variance as mid-monthly EMI-ECa surveys; v) correlations between ECa and forage yield, tree growth, and terrain attributes based on plant (forage and tree) species, and fertility treatments, and ECa-derived SMZs, …
Glacier Segmentation From Remote Sensing Imagery Using Deep Learning,
2022
University of Texas at El Paso
Glacier Segmentation From Remote Sensing Imagery Using Deep Learning, Bibek Aryal
Open Access Theses & Dissertations
Large-scale study of glaciers improves our understanding of global glacier change and is imperative for monitoring the ecological environment, preventing disasters, and studying the effects of global climate change. In recent years, remote sensing imagery has been preferred over riskier and resource-intensive field visits for tracking landscape level changes like glaciers. However, periodic manual labeling of glaciers over a large area is not feasible due to the considerable amount of time it requires while automatic segmentation of glaciers has its own set of challenges. Our work aims to study the challenges associated with segmentation of glaciers from remote sensing imagery …
Multi-Decadal Analysis Of Remotely Sensed Vegetation Change In Berea College Forest - Seasonality Of Forest Patterns Using Remote Sensing,
2022
University of Louisville
Multi-Decadal Analysis Of Remotely Sensed Vegetation Change In Berea College Forest - Seasonality Of Forest Patterns Using Remote Sensing, Jacob Foushee
The Cardinal Edge
Satellite imagery is a practical and valuable tool for monitoring vegetation condition in forests. The longevity of the USGS/NASA Landsat program along with its medium spatial resolution (30m) gives researchers the ability to make informed statements on land cover generally, and specifically on aspects such as forest conditions. The Landsat program’s nearly 50-year archive of imagery show how Earth’s surface has changed through modern development and how these developments have influenced forests. Google Earth Engine (GEE) is a cloud-based repository of satellite imagery dating as far back as the 1970s. This study utilizes Landsat 5-8 imagery from GEE to calculate …
Characterization Of Smoke Particles Toward Improved Remote Sensing Retrievals And Chemical Transport Modeling,
2022
Washington University in St. Louis
Characterization Of Smoke Particles Toward Improved Remote Sensing Retrievals And Chemical Transport Modeling, Chenchong Zhang
McKelvey School of Engineering Theses & Dissertations
Wildfires increase in extent, intensity, and frequency across the globe over the recent decades. The uncontrolled fires trigger cascading effects on local ecosystems and the fire emissions pose a higher risk to air quality and climate. Wildfire emissions contain a variety of trace gases and particulate matters. The particle-phase emissions, especially those light-absorbing species including black carbon (BC) and brown carbon (BrC), significantly affect the regional and global climate by modulating the radiative transfer phenomena in the atmosphere. A great discrepancy still exists between model- and observation-based estimates of aerosol-radiation interactions (ARI). The discrepancy is partially attributed to the mischaracterizations …
Spatio-Temporal Changes In Vegetation In The Last Two Decades (2001–2020) In The Beijing–Tianjin–Hebei Region,
2022
Tianjin University
Spatio-Temporal Changes In Vegetation In The Last Two Decades (2001–2020) In The Beijing–Tianjin–Hebei Region, Yuan Zou, Wei Chen, Siliang Li, Tiejun Wang, Le Yu, Min Xu, Ramesh P. Singh, Cong-Qiang Liu
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
In terrestrial ecosystems, vegetation is sensitive to climate change and human activities. Its spatial-temporal changes also affect the ecological and social environment. In this paper, we considered the Beijing–Tianjin–Hebei region to study the spatio-temporal vegetation patterns. The detailed analysis of a moderate-resolution imaging spectroradiometer (MODIS) data were carried out through the Google Earth Engine (GEE) platform. Our results show a slow and tortuous upward trend in the average leaf area index (LAI) in the study region for the periods 2001–2020. Specifically, Beijing had the highest LAI value, with an average of 1.64 over twenty years, followed by Hebei (1.30) and …
Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies,
2022
The University of Maine
Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies, Kallol Barai
Electronic Theses and Dissertations
The wild blueberry is one of the major crops of Maine, with significant economic value and potential health benefits. Due to global climate change, drought impacts have been increasing significantly in recent years in the northeast region of the USA, causing significant economic losses in the agricultural sectors. It has been predicted to increase further in the future. Changing patterns of the elevated atmospheric temperatures, increased rainfall variabilities, and more frequent drought events have made the wild blueberry industry of Maine vulnerable, suggesting the adoption of novel approaches to mitigate the negative impacts of global climate changes. Also, wild blueberry …
(Re)Constructing Homescapes: “Archaeological Remote Sensing” And Ground-Truthing Of The Walker Place Homestead At Spirit Hill Farm, Tate County, Mississippi,
2022
Mississippi State University
(Re)Constructing Homescapes: “Archaeological Remote Sensing” And Ground-Truthing Of The Walker Place Homestead At Spirit Hill Farm, Tate County, Mississippi, Gabriel Griffin
Theses and Dissertations
This thesis focuses on an early nineteenth-century homestead known as the Walker Place homestead at Spirit Hill Farm in northern Mississippi. The goal of this thesis is to conduct a ground-penetrating radar (GPR) and shovel test survey to explore how changing landscapes simultaneously (re)create and destroy senses of place or Homescapes. Homescapes have received little attention in the field of archaeology and have not been applied to Euro-American Homescapes. I apply this theoretical construct in a novel way as a venture to further develop an avenue in archaeology to be collaborative and understand the past in a way that accurately …
Deep Learning Applications In Industrial And Systems Engineering,
2022
University of Arkansas, Fayetteville
Deep Learning Applications In Industrial And Systems Engineering, Winthrop Harvey
Graduate Theses and Dissertations
Deep learning - the use of large neural networks to perform machine learning - has transformed the world. As the capabilities of deep models continue to grow, deep learning is becoming an increasingly valuable and practical tool for industrial engineering. With its wide applicability, deep learning can be turned to many industrial engineering tasks, including optimization, heuristic search, and functional approximation. In this dissertation, the major concepts and paradigms of deep learning are reviewed, and three industrial engineering projects applying these methods are described. The first applies a deep convolutional network to the task of absolute aerial geolocalization - the …
Titaniferous-Vanadiferous, Magnetite-Ilmenite Mineralization In A Mafic Suite Within The Chhotanagpur Gneissic Complex, Bihar, India,
2022
Geological Survey of India
Titaniferous-Vanadiferous, Magnetite-Ilmenite Mineralization In A Mafic Suite Within The Chhotanagpur Gneissic Complex, Bihar, India, Ashmeer Mohammad, Anup K. Prasad, Kehe-U Wetsah, Mohammad Azad, Vivek Aryan, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Titanium or vanadium metals or their alloys are important industrial metals/alloys. Because these resources are in short supply, the investigation of potential titaniferous-vanadiferous deposits needs special attention to bridge the supply-demand gap. The study integrates geological, geochemical, remote sensing, and geophysical data for assessing the potentiality of titaniferous-vanadiferous, magnetite-ilmenite mineralization in and around the Sudamakund and Paharpur areas, Gaya and Jehanabad districts, Bihar, India, and delineation of specific targets for detailed exploration. Field visits for large scale mapping on (1:12,500 scale) were used to conduct a reconnaissance survey for magnetite-ilmenite mineralization in parts of toposheet number 72G/04 in the Gaya …
