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12,383 full-text articles. Page 19 of 508.

Submesoscale Dynamics Of Phytoplankton And Carbon Export Revealed By High-Resolution Airborne And Satellite Remote Sensing Of Currents And Ocean Color, Sarah E. Lang 2026 University of Rhode Island

Submesoscale Dynamics Of Phytoplankton And Carbon Export Revealed By High-Resolution Airborne And Satellite Remote Sensing Of Currents And Ocean Color, Sarah E. Lang

Open Access Dissertations

Satellites and airborne sensors reveal submesoscale (1 - 10 km) variability in ocean color in the form of filaments, eddies, and patches. The variability in ocean color is closely tied to the physical dynamics that restructure phytoplankton distributions and drive active biological responses like changes in primary productivity and community structure. As the base of the marine food web and a key component of the biological carbon pump, phytoplankton are crucial to the overall health of marine ecosystems and to the ocean's role in climate. This dissertation focuses on the use of airborne and satellite remote sensing to study the …


Assessing The Robustness Of Prithvi Geospatial Foundation Model For Coastal Habitat Mapping Under Data Availability And Domain Shift Scenarios, Sam Khallaghi, Rishi Singh, Rahebeh Abedi, Ronald J. Eastman, Lyndon Estes, Sujit Roy, Rahul Ramachandran, Hamed Alemohammad 2026 Clark University

Assessing The Robustness Of Prithvi Geospatial Foundation Model For Coastal Habitat Mapping Under Data Availability And Domain Shift Scenarios, Sam Khallaghi, Rishi Singh, Rahebeh Abedi, Ronald J. Eastman, Lyndon Estes, Sujit Roy, Rahul Ramachandran, Hamed Alemohammad

Geography

Self-supervised learning techniques and geospatial foundation models are garnering increasing attention within the remote sensing community, marking a pivotal shift toward more adaptable, generalizable and data efficient methodologies. Despite their growing popularity, comparative analyses between these emergent models and traditional, task-specific supervised deep learning models for tasks such as semantic segmentation remain largely unexplored. This study is formulated as a comparative analysis to scrutinize the efficacy of the finetuned Prithvi geospatial foundation models against a supervised convolutional neural network trained from scratch for semantic segmentation of mangrove forests and pond aquaculture under varying levels of data availability and domain shift. …


Between “The Favela” And “The City”: Exploring The Daily Geographies Of Carolina Maria De Jesus Using Gis, Sterling D. Quinn 2026 Central Washington University

Between “The Favela” And “The City”: Exploring The Daily Geographies Of Carolina Maria De Jesus Using Gis, Sterling D. Quinn

Geography Faculty Scholarship

Geographic information systems (GIS) enable interesting visual and analytical engagement with personal narratives. I offer a case study by constructing digital historical maps of Carolina Maria de Jesus’s São Paulo as described in her 1950s diary entries from Quarto de Despejo (published as Child of the Dark in English). Examining 48 locations mentioned in the book, I show how GIS algorithms such as standard deviation ellipses and kernel density estimation can summarize geographies of daily activities in the personal, institutional, and professional realms, including in the informal economy. I also employ ideas from feminist cartography to put Carolina’s own words …


Uncertainty-Aware Estimation, Planning, And Control For Tracking Multiple Drifting Patches In Flow Fields, Daniel O. Akanji, Krishnanand N. Kaipa, Cong Wei 2026 Old Dominion University

Uncertainty-Aware Estimation, Planning, And Control For Tracking Multiple Drifting Patches In Flow Fields, Daniel O. Akanji, Krishnanand N. Kaipa, Cong Wei

Mechanical & Aerospace Engineering Faculty Publications

In this study, we present a replay-based framework for uncertainty-aware persistent tracking of multiple advected surface patches using an autonomous marine vehicle operating in spatiotemporal-varying currents. The method combines three components: local flow estimation, covariance-aware patch-boundary propagation with intermittent boundary fusion, and mission-level scheduling over multiple patches. Each patch is represented by a polygonal boundary, whose vertices are propagated through the estimated flow field while carrying per-vertex covariance, thereby quantifying uncertainty growth during advection. A flow-aware gain-scheduled linear quadratic regulator (LQR) was designed to shape the desired surge speed to take advantage of favorable currents. When the vehicle services a …


Modeling Inundation Susceptibility, Dengue Fever Risk, And Social, Ecological, And Technological Vulnerability To Climate Change At Small Geographic Scale In Thailand, Zachary Alan Zoet 2026 Northern Illinois University

Modeling Inundation Susceptibility, Dengue Fever Risk, And Social, Ecological, And Technological Vulnerability To Climate Change At Small Geographic Scale In Thailand, Zachary Alan Zoet

Graduate Research Theses & Dissertations

The climate is changing, and the livelihoods of more than 3.3 billion people are presumed to be vulnerable to a climate altered significantly from historical norms. Despite international concerns that ramifications of climate change may affect environmental conditions in ways that could exacerbate inundation, dengue fever incidence, and social vulnerability in large areas of the planet, research focused on revealing the roots of these problems tends to cover small areas at large geographic scales. Inconsistencies in research design elements that may ramify from data classification regimen and misappropriation of variable selection, non-consensus about unit of analysis or scale, and disagreement …


Protected And Conserved Areas In Canada: Advancing Conservation Policy, Practice & Indigenous Leadership, Christopher J. Lemieux, Don Carruthers Den Hoed, Eli Enns, Catherine E. Reining 2026 Wilfrid Laurier University

Protected And Conserved Areas In Canada: Advancing Conservation Policy, Practice & Indigenous Leadership, Christopher J. Lemieux, Don Carruthers Den Hoed, Eli Enns, Catherine E. Reining

Geography and Environmental Studies Faculty Publications

Protected and Conserved Areas in Canada: Advancing Conservation Policy, Practice, and Indigenous Leadership, is Canada’s first bilingual, interdisciplinary, open-access textbook dedicated to the evolving management and planning of protected and conserved areas. This resource addresses critical pressures and transitions in conservation, integrating Indigenous perspectives and case studies from across Canada to prepare the next generation of practitioners and researchers to become ethical, equitable, and effective decision-makers.

Over the past decade, Canada has experienced rapid expansion of protected and conserved areas, including the rise of Indigenous Protected and Conserved Areas (IPCAs), the expansion of marine protected and conserved areas, and …


Aires Protégées Et Conservées Au Canada: Faire Progresser Les Politiques, Les Pratiques, Et Le Leadership Autochtone En Matière De Conservation, Christopher J. Lemieux, Don Carruthers Den Hoed, Eli Enns, Catherine E. Reining 2026 Wilfrid Laurier University

Aires Protégées Et Conservées Au Canada: Faire Progresser Les Politiques, Les Pratiques, Et Le Leadership Autochtone En Matière De Conservation, Christopher J. Lemieux, Don Carruthers Den Hoed, Eli Enns, Catherine E. Reining

Geography and Environmental Studies Faculty Publications

Aires protégées et conservées au Canada : faire progresser les politiques, les pratiques et le leadership autochtone en matière de conservation est le premier manuel bilingue, interdisciplinaire et en libre accès au Canada consacré à la gestion et à la planification en pleine évolution des aires protégées et conservées. Cette ressource aborde les enjeux et transitions critiques qui marquent le domaine de la conservation, en intégrant les perspectives autochtones et des études de cas provenant de tout le pays, pour préparer la prochaine génération de praticiens et de chercheurs à devenir des décideurs éthiques, équitables et efficaces.

Au cours de …


Datums And Benchmarks From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney, Stephen A. Mrozowski, David B. Landon 2026 University of Massachusetts Boston

Datums And Benchmarks From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney, Stephen A. Mrozowski, David B. Landon

Data and Datasets

Datums from Sylvester Manor Archaeological work (2019-2026).  Includes zipped shapefile of points and complementary csv, that includes the site areas for each datum.


Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Colton Weeks, Hank Vincent, Ronny Schroeder 2026 Embry-Riddle Aeronautical University, Prescott, Arizona

Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Colton Weeks, Hank Vincent, Ronny Schroeder

Student Works

Vegetation health is commonly assessed using the Normalized Difference Vegetation Index (NDVI), which can be derived from multispectral sensors operating at different spatial resolutions. Validating NDVI products across sensor platforms is essential to determine their reliability for environmental monitoring and habitat assessment. This research compares NDVI derived from moderate-resolution satellite imagery and high-resolution unmanned aircraft system (UAS) imagery collected over the same study area. Landsat imagery, provided through the joint USGS–NASA mission, was used to represent satellite-based vegetation patterns, while high-resolution multispectral data were acquired using a MicaSense sensor mounted on a UAS to capture fine-scale vegetation detail.

NDVI values …


Validating Uas Lidar With Airborne Lidar For Precision Streamline Generation In Del Rio Springs, Arizona, Brad Rudy, Colton Weeks, Hank Vincent, Ronny Schroeder 2026 Embry-Riddle Aeronautical University

Validating Uas Lidar With Airborne Lidar For Precision Streamline Generation In Del Rio Springs, Arizona, Brad Rudy, Colton Weeks, Hank Vincent, Ronny Schroeder

Student Works

Accurate streamline delineation and high-resolution topographic products are essential across numerous disciplines, including hydrological analysis, environmental monitoring, construction, and erosion modeling. Products derived from high-accuracy elevation data provide greater reliability and improved decision-making outcomes for all fields that depend on them. A 2018 USGS airborne LiDAR dataset covering the Del Rio Springs riparian area north of Chino Valley, Arizona, offers a valuable opportunity to evaluate the relative accuracy of the DJI L1 LiDAR sensor when mounted on a Matrice 300 RTK UAV platform. Compared to traditional manned airborne systems, the UAV-mounted L1 provides high-accuracy, high-density point cloud data over small …


Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder 2026 Embry-Riddle Aeronautical University

Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder

Student Works

Large wildfires increasingly alter vegetation structure and ecosystem recovery trajectories at landscape scales, requiring reliable geospatial methods for post-fire assessment. This study evaluates burn severity and vegetation recovery following the 2020 California August Complex Fire using an integrated framework combining multispectral satellite imagery, spatial statistics, and airborne LiDAR data.

Burn severity was quantified using differenced Normalized Burn Ratio (dNBR), and vegetation recovery was assessed through a multi-temporal NBR time series spanning pre-fire (2015), fire-year (2020), and post-fire (2025) conditions. Optimized Hotspot Analysis (Gi*) was applied to isolate statistically significant clusters of high burn severity and reduce bias in recovery estimates. …


Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder, Elise Anderson 2026 Embry-Riddle Aeronautical University

Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder, Elise Anderson

Student Works

Large wildfires increasingly alter vegetation structure and ecosystem recovery trajectories at landscape scales, requiring reliable geospatial methods for post-fire assessment. This study evaluates burn severity and vegetation recovery following the 2020 California August Complex Fire using an integrated framework combining multispectral satellite imagery, spatial statistics, and airborne LiDAR data.

Burn severity was quantified using differenced Normalized Burn Ratio (dNBR), and vegetation recovery was assessed through a multi-temporal NBR time series spanning pre-fire (2015), fire-year (2020), and post-fire (2025) conditions. Optimized Hotspot Analysis (Gi*) was applied to isolate statistically significant clusters of high burn severity and reduce bias in recovery estimates. …


Geospatial Analysis Of Wildfire Ignitions And Proximity To Electric Transmission Lines In Arizona’S National Forests, Shane Ishmael, Ronny Schroeder 2026 Embry-Riddle Aeronautical University

Geospatial Analysis Of Wildfire Ignitions And Proximity To Electric Transmission Lines In Arizona’S National Forests, Shane Ishmael, Ronny Schroeder

Student Works

The number of wildfires in Arizona rose by 18% from 2023 to 2024. Wildfires hit the Western United States hard, especially in states like Arizona and California, where vast national forests often fall victim to the biggest blazes. According to the Western Fire Chiefs Association, 19% of wildfires from 2016 to 2020 were sparked by electrical transmission lines.

This study explores whether wildfire start-location hotspots line up with power transmission routes running through Arizona’s Coconino and Tonto National Forests. The main hypothesis is that areas near power lines are more likely to become wildfire hotspots than other regions.

We used …


Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a, Hank Warner, Ronny Schroeder 2026 Embry-Riddle Aeronautical University

Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a, Hank Warner, Ronny Schroeder

Student Works

Along mountainous roads, rockslides, mud slides and avalanches pose a significant risk for continued access to a region and can cause large amounts of damage to infrastructure, taking time to clear and repair. The prediction of where these events will occur can allow preventative measures to be taken, allowing sustained access and preventing costly repairs.

This study develops a method to analyze and predict rockslide risk using satellite-sourced multispectral imagery and airborne LiDAR data.

The developed method started with multispectral LANDSAT 8 imagery and airborne LiDAR captures over Arizona Highway 89A, with all data taken between late August and early …


Principles Of Geographic Information Science (Gep 205 And Gep 505), Fall 2026 Syllabus, Shokran Rahiminezhad 2026 CUNY Graduate Center

Principles Of Geographic Information Science (Gep 205 And Gep 505), Fall 2026 Syllabus, Shokran Rahiminezhad

Open Educational Resources

This syllabus is for Principles of Geographic Information Science (GEP 205 and GEP 505) at Lehman College. The course introduces geographic information science, spatial data management, cartography, coordinate systems and projections, tabular and spatial queries, vector and raster analysis, geoprocessing, and introductory geospatial programming using ArcGIS Pro. Students complete laboratory activities and a semester-long project addressing a real-world geographic problem. The syllabus includes differentiated expectations for undergraduate and graduate students and incorporates open and freely available instructional materials.


Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan 2026 West Virginia University

Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation was to develop a comprehensive, data-driven spatial framework for characterizing the complex cultural landscape of the National Coal Heritage Area (NCHA) in West Virginia. By transitioning away from traditional, heuristic spatial mapping, this research integrates advanced spatial statistics, machine learning, and GIS-based methodologies to objectively quantify the physical, visual, and cultural dimensions of the post-mining environment. The research is structured around three interconnected empirical studies, each addressing a specific scale of the Landscape Character Assessment (LCA) framework to support heritage conservation and sustainable spatial planning. The first paper focused on landform classification, developing an automated …


Walking In The Footsteps Of My Ancestors: A Deep Map Of Cherokee Forced Removal, Deborah Lyn Kirk 2026 West Virginia University

Walking In The Footsteps Of My Ancestors: A Deep Map Of Cherokee Forced Removal, Deborah Lyn Kirk

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study of the place of Cherokee forced removal, I use a Third Space approach to blend Indigenous Methodologies, Deep Mapping, Geospatial mapping and analysis, and 3D Geography. Using a hybrid platform that provides a mélange of media types, storytelling forms, and interactive tools, I reimagine and retell the story of the Cherokee “Trail of Tears.”

In accordance with Cherokee philosophies of duyuktv, harmony, and “a good mind” I first sought out Cherokee sponsorship from community respected and culturally knowledgeable Cherokee citizens; partnered with the National Trail of Tears Association (NTOTA); submitted my research proposal to the Cherokee …


Using Maximum Entropy (Maxent) Tool In Arcgis Pro For Species Distribution Modelling Of Pseudoscorpions In The Pacific Northwest, Elliot Toshihiro Cochran 2026 Portland State University

Using Maximum Entropy (Maxent) Tool In Arcgis Pro For Species Distribution Modelling Of Pseudoscorpions In The Pacific Northwest, Elliot Toshihiro Cochran

Masters in GIS Practicum Reports

The use of Geographic Information Systems (GIS) to create Species Distribution Models (SDMs) is rising among many scientific disciplines. Many professionals who were not originally focused on GIS are increasingly becoming more invested in this technology. SDMs are widely used to estimate species’ potential geographic distributions and to evaluate the environmental factors that constrain their ranges. The presence-only maximum entropy (MaxEnt) algorithm implemented in the MaxEnt tool in ArcGIS Pro was used in this project to model habitat suitability for two species of pseudoscorpions, M. pacificus and an undescribed species, in Oregon and Washington. Presence points (of specimen sample locations) …


Youth Perspectives On Developing A Sustainable Food Future In Sambaa K’E Nwt., Danielle Elizabeth Bayne Ms 2026 Wilfrid Laurier University

Youth Perspectives On Developing A Sustainable Food Future In Sambaa K’E Nwt., Danielle Elizabeth Bayne Ms

Theses and Dissertations (Comprehensive)

Food systems in Northern Indigenous communities are shaped by complex and interconnected social, environmental, economic, and political forces that determine how food is accessed, practiced, and governed. Indigenous food systems are deeply rooted in Land-based practices and relationships that support cultural continuity and intergenerational knowledge transfer. However, these systems have been profoundly disrupted by ongoing colonial structures that restrict access to and devalue Indigenous Knowledge and alter harvesting practices. Climate change further intensifies challenges related to traditional food access by altering wildlife behaviour, shifting seasonal patterns and reducing the safety and reliability of traditional harvesting territories. In response, many Northern …


Identifying Socio-Economic Areas Of Concern Towards Inclusion In Gis Hazard Management In Detroit, Michigan., Ernestina Osei 2026 Fort Hays State University

Identifying Socio-Economic Areas Of Concern Towards Inclusion In Gis Hazard Management In Detroit, Michigan., Ernestina Osei

Master's Theses or Doctor of Nursing Practice

This study examined the spatial distribution of socio-economic vulnerability and accessibility to essential services in Detroit, Michigan, using a Geographic Information Systems (GIS)-based approach. The research aimed to identify areas of greatest concern by integrating socio-economic indicators, including poverty, housing vacancy, income, unemployment, and crime, with spatial measures of access to critical infrastructure such as hospitals, fire stations, police stations, and grocery stores. Both feature-based and raster-based analyses were employed, including buffer and overlay analysis, service area evaluation, Euclidean distance modeling, and multi-criteria suitability analysis.

A mixed-methods framework was adopted to combine quantitative spatial analysis with contextual understanding of urban …


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