Extended Cross-Referenced Analysis Using Data From The Landsat 8 And 9 Underfly Event,
2023
South Dakota State University
Extended Cross-Referenced Analysis Using Data From The Landsat 8 And 9 Underfly Event, Garrison Gross
Electronic Theses and Dissertations
The Landsat 8 and 9 Underfly Event occurred in November 2021, where Landsat 9 flew beneath Landsat 8 in the final stages before settling in its final orbiting path. An analysis was performed on the images taken during this event, which resulted in a cross-referenced with uncertainties estimated to be less than 0.5%. This level of precision was due in part to the near-identical sensors aboard each instrument as well as the underfly event itself, which allowed the sensors to take nearly the exact same image at nearly the exact same time. This initial calibration was applied before the end …
The Development Of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites At A Global Scale: Dark Epics-Global,
2023
South Dakota State University
The Development Of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites At A Global Scale: Dark Epics-Global, Padam Bahadur Karki
Electronic Theses and Dissertations
This research aimed to develop a novel dark hyperspectral absolute calibration (DAHAC) model using stable dark targets of "Global Cluster - 36" (GC-36), one of the clusters from "300 Class Global Classification." The stable dark sites were identified from GC-36 called "Dark EPICS-Global" covering the surface types viz; dark rock, volcanic area, and dark sand. The Dark EPICS-Global shows a temporal variation of 0.02 unit reflectance. This work uses the Landsat-8 (L8) Operational Land Imager (OLI) , Sentinel-2A (S2A) Multispectral Instrument (MSI) , and Earth Observing One (EO-1) Hyperion data for the DAHAC model development, where well-calibrated L8 and S2A …
Artisanal Mining River Dredge Detection Using Sar: A Method Comparison,
2023
University of Mary Washington
Artisanal Mining River Dredge Detection Using Sar: A Method Comparison, Marissa A. Alessi, Peter G. Chirico, Marco Millones
Geography Articles
Challenges exist in monitoring artisanal and small-scale mining (ASM) activities, given their dynamic and often informal nature. ASM takes form through various techniques and scales, including riverine dredging, which often targets the abundant alluvial gold deposits in South America. Remote sensing offers a solution to improve data collection, regulation, and monitoring of the more mobile and elusive ASM activities and their impacts. Mapping ASM riverine dredges using Synthetic Aperture Radar (SAR) is one of the application areas least explored. Three semi-automated detection approaches using Sentinel-1 SAR are compared on their ability to identify dredges with minimal false positives. The methods …
Carnivore And Ungulate Occurrence In A Fire-Prone Region,
2023
California State Polytechnic University Humboldt
Carnivore And Ungulate Occurrence In A Fire-Prone Region, Sara J. Moriarty-Graves
Cal Poly Humboldt theses and projects
Increasing fire size and severity in the western United States causes changes to ecosystems, species’ habitat use, and interspecific interactions. Wide-ranging carnivore and ungulate mammalian species and their interactions may be influenced by an increase in fire activity in northern California. Depending on the fire characteristics, ungulates may benefit from burned habitat due to an increase in forage availability, while carnivore species may be differentially impacted, but ultimately driven by bottom-up processes from a shift in prey availability. I used a three-step approach to estimate the single-species occupancy of four large mammal species: mountain lion (Puma concolor), coyote …
Production, Best Management Practices, And Market Impacts Of Forest Biomass Harvest And Collection In The Mid-Atlantic Region,
2023
West Virginia University
Production, Best Management Practices, And Market Impacts Of Forest Biomass Harvest And Collection In The Mid-Atlantic Region, William E. Smith
Graduate Theses, Dissertations, and Problem Reports (ETD)
Time motion studies were conducted at five mid-Atlantic sites that spanned various operations in West Virginia, Ohio, and Pennsylvania. The harvest systems included integrated harvests where chips were produced in the forest, roundwood systems where only roundwood was produced, and a centralized chipping system. The study collected overall productivity and machine utilization data at the various harvesting operations. The cost per green ton of woody biomass ranged from $18.46 to $39.8 resulting in an average of $30.33 among the five systems. Hauling had the highest average price per green ton at $9.10, while loading had the lowest at $1.73 per …
Method Of Validating Satellite Surface Reflectance Product Using Empirical Line Method,
2023
South Dakota State University
Method Of Validating Satellite Surface Reflectance Product Using Empirical Line Method, Meghraj Kc
Electronic Theses and Dissertations
Atmospherically corrected surface reflectance (SR) products are used for reliable monitoring of land surfaces and are the standard products of Landsat sensors. Due to increased demand for SR products, a need exists to verify that the L2C2 (Level-2 Collection-2) SR products are precise and accurate. The Level-2 Collection 2 (L2C2) SR Product is processed satellite imagery data that corrects for atmospheric effects such as absorption and scattering, providing a more accurate representation of Earth's surface. The validation of SR products using ground truth measurement is essential. This study aims to develop and evaluate a validation methodology for satellite SR products. …
Linkages Between Atmospheric Circulation, Weather, Climate, Land Cover And Social Dynamics Of The Tibetan Plateau,
2023
West Virginia University
Linkages Between Atmospheric Circulation, Weather, Climate, Land Cover And Social Dynamics Of The Tibetan Plateau, Shobha Kumari Yadav
Graduate Theses, Dissertations, and Problem Reports (ETD)
The Tibetan Plateau (TP) is an important landmass that plays a significant role in both regional and global climates. In recent decades, the TP has undergone significant changes due to climate and human activities. Since the 1980s anthropogenic activities, such as the stocking of livestock, land cover change, permafrost degradation, urbanization, highway construction, deforestation and desertification, and unsustainable land management practices, have greatly increased over the TP. As a result, grasslands have undergone rapid degradation and have altered the land surface which in turn has altered the exchange of heat and moisture properties between land and the atmosphere. But gaps …
An Analysis Of Urban Land Use Land Cover (Lulc) Changes In Lilongwe City, Central Malawi (2002–2022),
2023
West Virginia University
An Analysis Of Urban Land Use Land Cover (Lulc) Changes In Lilongwe City, Central Malawi (2002–2022), Zola Manyungwa
Graduate Theses, Dissertations, and Problem Reports (ETD)
Lilongwe, Malawi’s capital city, has grown nearly tenfold in the last 40 years with a 4-5% annual population growth rate, and the city’s population is projected to double over the next decade. Rural to urban migration and natural increase are the driving factors of the city’s urban expansion. Characterised by the urbanisation of poverty, Lilongwe is experiencing uncontrolled and unplanned urban expansion that has led to the growth of informal settlements. Urbanisation leads to land use land cover (LULC) changes that negatively impact the quality of life and the environment. Lilongwe faces many challenges, including high levels of poverty, inequality, …
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 …
Utilizing Remote Sensing Technology To Relocate Lubra Village And Visualize Flood Damages,
2022
Macalester College
Utilizing Remote Sensing Technology To Relocate Lubra Village And Visualize Flood Damages, Ronan Wallace
Mathematics, Statistics, and Computer Science Honors Projects
As weather patterns change worldwide, isolated communities impacted by climate change go unnoticed and we need community and habitat-conscious solutions. In Himalayan Mustang, Nepal, indigenous Lubra village faces threats of increasing flash flooding. After every flood, residual concrete-like sediment hardens across the riverbed, causing the riverbed elevation to rise. As elevation increases, sediment encroaches on Lubra’s agricultural fields and homes, magnifying flood vulnerability. In the last monsoon season alone, the village witnessed floods swallowing several fields and damaging two homes. One solution considers relocating the village to a new location entirely. However, relocation poses a challenging task, as eight centuries …
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.
Remote Sensing Application For Landslide Detection: Monitoring Along Eastern Lake Michigan (Miami Park, Mi),
2022
Western Michigan University
Remote Sensing Application For Landslide Detection: Monitoring Along Eastern Lake Michigan (Miami Park, Mi), Guzalay Sataer
Dissertations
I assessed the nature and spatial and temporal patterns of deformation over the Miami Park bluffs on the eastern margin of Lake Michigan and investigated the factors controlling its observed deformation. Our approach involved the following steps: (1) extracting bluff deformation rates (velocities along the line of sight of the satellite) using a stack of Sentinel-1A radar imagery in ascending acquisition geometry acquired between 2017 and 2021 and applying the Intermittent Small Baseline Subset (ISBAS) InSAR time series analysis method; (2) generating high-resolution (5 cm) elevation models and orthophotos from temporal unmanned aerial vehicle (UAV) surveys acquired in 2017, 2019, …
Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery,
2022
University of Arkansas, Fayetteville
Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery, Md Kamrul Hasan Khan
Graduate Theses and Dissertations
The focus of this dissertation is development of a novel hierarchical framework, that can be used for predictive modeling of Forest Inventory and Analysis (FIA) data over large regions. This dissertation has two significant contributions. Based on a study region in north-central Wisconsin, we analyze satellite imagery, along with a sample of national forest inventory field plots, to monitor and predict changes in forest conditions over time. The auxiliary data from the satellite imagery of this region are relatively dense in space and time, and can be used to learn how forest conditions changed over that decade. However, these records …
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 …
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, …
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 …
