Geography Commons^™

Tackling Data Quality Challenges In Remote Sensing: Solutions For Reliable Urban Heat Island Analysis, Wei Xia, Aqil Tariq, Hesham El-Askary, Rana Waqar Aslam, Elgar Barboza, Dmitry E. Kucher, Youssef M. Youssef, Habib Kraiem

Mathematics, Physics, and Computer Science Faculty Articles and Research

Urban heat islands (UHIs) pose critical challenges to public health, energy demand, and environmental sustainability, particularly in rapidly expanding urban regions. This study examines the complex relationship between building configurations and integrated green spaces, as well as their combined impact on thermal regulation. It focuses on addressing data quality issues commonly encountered in remote sensing applications. Using high-resolution multispectral and thermal imagery, we developed an integrated modeling approach that captures the collective influence of built form and green infrastructure on urban microclimates. A key finding is the significant linear inverse relationship between green space coverage and land surface temperature, underscoring …

Kemiskinan Multidimensi Dan Ketahanan Pangan: Analisis Multilevel Di Kalimantan, Lina Agustina Pujiwati, Afriyanni Afriyanni, Dewi Harfina, Zainal Fatoni

Jurnal Ekonomi Kependudukan dan Keluarga

Food security is a crucial issue for sustainable development and is highly influenced by multidimensional poverty. This study measures food security and multidimensional poverty in Kalimantan Island, analyzes the determinants of household food security through a multilevel approach, and explores the influence of multidimensional poverty and regional context on food security. Data were obtained from the March 2022 National Socio-Economic Survey, comprising 33,201 households and integrated with district-level characteristics. Multidimensional poverty was measured using the Alkire-Foster method, while food security was measured based on energy consumption and the proportion of food expenditure. A multilevel ordinal logistic regression was employed to …

The Dynamics Of Urbanization And Changes In Ekistics Elements: A Case Study Of Surakarta City, Sarah Astita

Cities and Urban Development Journal

Urbanization has become a driving force behind significant spatial, environmental, and socio-economic transformations in urban areas, including Surakarta, the most densely populated city in Central Java. The rapid increase in population and urban expansion has led to drastic changes in land use and the structure of human settlements. This study aims to analyze the impact of urbanization on the ekistic elements of Surakarta (nature, humans, society, space/shells, and networks) and how these changes manifest spatially over time. A descriptive qualitative approach is employed using literature analysis and the interpretation of Landsat satellite imagery from 2011 and 2022. The findings show …

Community Based Development Analysis - Case Study Of Cap (Community Action Plan) In Kramat Ward, Irene Sondang Fitrinitia

Cities and Urban Development Journal

Background: The Community Action Plan (CAP) has been implemented as a participatory approach to improving settlement quality through collaboration between the community and the government.

Aims: This study aims to explore the CAP process in community-based development planning in Kramat Ward and to understand the role of citizen participation and synergy with government policies in enhancing settlement quality

Methods: A descriptive qualitative approach with a case study method was used to analyze the process of community-based development planning.

Results: The findings indicate that the Community Action Plan (CAP) enables residents to identify and propose solutions to settlement-related issues. Community-driven actions …

Advancing Interactive Web Cartography Through Designing And Developing An Open-Source, Data-Driven Framework For Accessible Geovisualization Of Geospatial (Big) Data, Sarigai Sarigai

Geography ETDs

The growth of geospatial big data has intensified the demand for open-source, accessible tools for interactive spatial exploration. This dissertation introduces a modular web mapping framework and details its design, extension, and evaluation to advance geovisualization through user-centered, transferable design. The first study presents the original framework, named dciWebMapper, establishing foundational cartographic and information visualization principles, with a focus on modularity and extensibility. The second study extends dciWebMapper with advanced capabilities—such as diverse map types, bivariate visualizations, temporal filtering, spatial querying, and hotspot analysis—and demonstrates its broad transferability across domains. The third study offers a structured usability evaluation of …

An Analysis Of Vertical Deformation On Cianjur Earthquake 2022, Candra Perkasa Nurlukman, Adi Wibowo

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

A shallow crustal-type earthquake on a surface fault occurred on November 21, 2022, in Cianjur, West Java. This destructive earthquake resulted in a loss of life, many houses were damaged, and landslides at several points. So, the research was analyzed using the DInSAR method to see the deformation and its relationship with the existing conditions in the field. We get the result of a vertical subsidence in the earthquake area of up to 101 millimeters. Through the distribution of displacement results, we found no overlapping faults at that location, identifying the formation of a new fault. In the distribution area …

Analysis Of The Impact And Adaptation Of Tidal Floods From Coastal Landscape Area Communities In Poasia District, Kendari City, Indonesia, La Ode Hadini, La Aba, Noor Husna Khairisa, Nikita Jasmine Almira

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Poasia District is located in the coastal area of the southern part of Kendari City, which is highly susceptible to tidal flooding. However, the extent of the community's exposure to these events and their subsequent adaptation measures remain to be fully delineated. This study examines the impacts of tidal flooding and the adaptation patterns of the Poasia Coastal Community to the tidal flood disaster. This research employed a descriptive qualitative method, which was carried out through document review, interviews involving 34 respondents, and field observations. The results of this study indicate that tidal flooding exerts a negative impact on the …

Toxicological And Environmental Assessment Of Trace And Heavy Metals In Harnoi Coal Deposits, Abbottabad, Khyber Pakhtunkhwa, Pakistan, Muhammad Sajid, Shaukat Khan, Muhammad Kashif, Khan Amir Khan, Muhammad Junaid

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Mining and burning of coal release various toxic substances that can contaminate both surface and groundwater, thereby posing significant risks to human health, especially for households located near mines, coal deposits, or coal-fired power stations. This research examines the environmental effects of coal mining in the Harnoi Region of Abbottabad, Khyber Pakhtunkhwa, Pakistan. Four mining sites were randomly selected within the study area, and eight coal samples were collected and analyzed using atomic absorption spectrophotometry to determine the concentrations of trace and heavy metals. The findings indicate that Harnoi coal contains elevated concentrations of arsenic, zinc, lead, cadmium, nickel, cobalt, …

Citizen Science Helps Monitor Urban Biodiversity: An Interactive, Data-Driven, And Open-Source Perspective, Katie Slack

Geography ETDs

Story maps, a powerful tool for communicating environmental narratives, are often commercial and lack many interactive functions. We integrate a data-driven and interactive geovisualization within an open-source story map created from high-attribute citizen science datasets. This story map creates a backend programming infrastructure for accessible, open-source science communication tools. Our story map intuitively communicates the findings from our web map application (app) portion of the story map to the public and helps reveal findings from the iNaturalist datasets. Albuquerque, New Mexico, United States is a demonstrative case study, but our tools can be flexibly adapted to other cities. Geovisualizations revealed …

High Spatial Resolution Crop Type And Land Use Land Cover Classification Without Labels: A Framework Using Multi-Temporal Planetscope Images And Variational Bayesian Gaussian Mixture Model, Minh Tri Le

Mathematics, Physics, and Computer Science Faculty Articles and Research

Previous studies often combined high spatial resolution data (e.g., PlanetScope) with wider spectral range data (e.g., Sentinel-2) and relied on supervised classification methods to produce land use and land cover (LULC) maps. This study proposed a new unsupervised framework to generate crop type and LULC maps at high spatial resolution (< 5 m) using available PlanetScope data solely without requiring ground truths. We used PlanetScope surface reflectance images and their derived spectral indices during growing seasons to create multi-temporal input features, which were fed into an unsupervised Variational Bayesian Gaussian Mixture Model (VBGMM). The VBGMM, unlike the traditional unsupervised classification methods, (1) first estimated optimal parameters that are most suitable based on the input features and then (2) assigned pixels to the cluster with maximum posteriori probability of a mixture of several Gaussian distributions. The crop type and LULC maps were then generated by labeling the derived clusters using the best possible assignment method, referring to the existing crop type or LULC products. We evaluated the produced PlanetScope-based crop type and LULC maps using true labels, corresponding reference maps, and other unsupervised classification methods. The results demonstrated the robustness and effectiveness of the proposed framework in mapping crop types and LULC at 3–5 m pixels across various ecosystems, climate zones, and human-managed landscapes. The spatial patterns of PlanetScope-based maps were (1) highly comparable with all the reference datasets at 10–30 m spatial resolution and (2) better than the traditional GMM and K-means clustering methods. The VBGMM produced classification maps with high confidence, yielding class probabilities above 0.9 for over 90 % of all study areas. The area percentage for all crop type and LULC classes agreed well with their reference maps, with R2 of 0.95 and RMSE of 1.04 %. The confusion matrices using true labels indicated that PlanetScope-based maps achieved a higher overall accuracy of 84 % than the supervised referenced maps of 81 %. Besides, the entropy comparison showed that our framework-based maps were better at capturing fine-scale features such as developed areas within cities that commonly mix with open space and vegetation, deforestation and cropland conversion in South America, smallholder croplands in Africa and Asia, and generating homogeneous crop fields in North America. This study further highlighted the potential for future research to implement our proposed framework to generate timely and extensive annotated datasets, which can be used for operationally training machine learning models to map crop types and LULC, track deforestation, detect wildfires, and delineate flooded areas at larger scales using medium/coarse Earth observations.

Homelessness Increases In The Mountain West, 2015-2024, Krish Sharma, Sydney Mitchell, Mohit Pande, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet presents data on homelessness increases in the Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah from 2015 to 2024. The data are derived from “Male homelessness in the United States,” a report by the American Institute for Boys and Men (AIBM). The original report includes data on the overall increase in homelessness in the United States from 2015 to 2024, as well as data on the increase in homelessness by gender.

The Art Of Memory: The Medieval Peutinger Map, Amber Shrewsbury

Dissertations and Theses

The Peutinger map is an enigma: a twelfth-century map of the Roman Empire, it is secular and oddly shaped, its dimensions distorted to show Rome at the center of the world. Its creator, purpose, and provenance currently remain lost to history. Long considered by classicists to be a copy of a lost Roman original, the map has not been seriously examined by medievalists, possibly because it does not adhere to the Christian "T-O" style of medieval mappaemundi.

While other scholars have focused on what the Peutinger map reflects about ancient Rome, I have chosen to explore how the Peutinger …

Protecting Cultural Heritage In A Changing Climate: A Risk Assessment Model For Galleries, Libraries, Archives, And Museums In Florida, United States, Emily E. Fisher

LSU Master's Theses

The aim of this research is to develop a climate threat risk assessment scale for galleries, libraries, archives, and museums within the State of Florida. Current research neglects the localized impact of tropical cyclones, inland flash flooding, and exposure to SLR on cultural institutions. Tropical cyclone events bring in flooding, intense wind speeds, and power outages which affect these institutions. Tropical cyclone data from the National Hurricane Center are used to represent historical wind occurrence. Finally, flash flood warning data are used to represent the flooding likelihood in each county. Each threat is assessed individually across Florida counties. The range …

Hyperspectral Band Selection Via Heterogeneous Graph Convolutional Self-Representation Network, Junde Chen, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Hyperspectral image (HSI) band selection (BS) plays a crucial role in HSI dimensionality reduction, aiming to identify a representative subset of bands with minimal redundancy. However, conventional BS approaches primarily operate in the Euclidean domain, often overlooking the structural characteristics of pixels and spectral bands, such as spatial continuity and spectral dependencies. In addition, they handle each HSI as an integrated unit to harness implicit spatial information, disregarding spatial distribution variations across different homogeneous regions. To fully leverage structural information, this study introduces a novel BS method, termed the dual heterogeneous graph convolutional network with enhanced self-representation (ESR-HGCN), for HSI …

Analyzing Environmental Health: Air Pollution And Human Health Using Geospatial Data Science, Yanhong Huang

Geography ETDs

Air pollution from industrial emissions and wildfire smoke poses growing threats to public health. This dissertation employs geospatial data science to examine these challenges through three interrelated studies. The first study investigates the relationship between maternal residential exposure to industrial pollutants and low birth weight, identifying five chemicals as significant risk factors. The second study assesses the impact of industrial air pollution on lung and bronchus cancer survival, finding that exposure to 1,1,1-trichloroethane and cobalt is associated with reduced survival. The third study explores disparities in wildfire smoke PM_2.5 exposure and its association with asthma exacerbations. Results show disparities …

The Effect Of Using Some Geographical Map Skills On Achievement Among Eleventh Grade Students - Literary Track Ministry Of Education And Higher Education In The State Of Qatar - Nasser Bin Abdullah Al Attiyah Secondary School For Boys - Social Studies Department - Academic Year 2019-2020, Bilal Al-Bayer

Al Jinan الجنان

This study aimed to measure the level of skills in reading and understanding geographical maps and assigning them of the Eleventh Grade Literary Track students at Nasser bin Abdullah Al-Attiyah Secondary School for Boys in the book "Geography", where a pre-skill test consisting of 30 questions was built to measure the level of students in reading and understanding geographical maps. After determining the school in which the experiment will be applied, the Eleventh Grade Literary Division (5), which consists of 28 students and which the researcher taught, was chosen. The data used was analyzed through the T-test to process the …

Remote Sensing-Based Assessment Of Evapotranspiration Patterns In A Unesco World Heritage Site Under Increasing Water Competition, Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacias-Orueta

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In water-scarce regions, natural ecosystems and agriculture increasingly compete for limited water resources, intensifying stress during periods of drought. To assess these competing demands, we applied a modified PT-JPL model that incorporates the thermal inertial approach as a substitute for relative humidity (RH) in estimating soil evaporation—a method that significantly outperforms the original PT-JPL formulation in Mediterranean semi-arid irrigated areas. This remote sensing framework enabled us to quantify spatial and temporal variations in water use across both natural and agricultural systems within the UNESCO World Heritage site of Doñana. Our analysis revealed an increasing evapotranspiration (ET) trend in intensified agricultural …

The Impact Of Agricultural Land Conversion On The Economy And Space Utilization In Jatimulyo And Way Huwi Villages, South Lampung Regency, Lampung Province, Yudha Rahman, Adnin Musadri Asbi, Annisa Maharani, Khalid Ahmad Ramadhan

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

No abstract provided.

Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Kabe Aberle, Nadia Kako, Kateri Mcrae, Brooke Agulnek, Sky Palmon, Yasmine Ramirez, Francisca Aguirre Beltran, Ashley Juarez, Bridget Kim, Tessa Appel, Sterling Kerr, Spencer Ingley, Gabe Meyer, Robin Tinghitella, Dale Broder, Lily Baeza, Chloe Beers, Julia Coakley, Whitney Kelsey, Sydney Gainforth, Gabi Wing, Audrey Martin, Aaliyah Amore Berry, Brooke Watley, Kiruthika Venkatesan, Rachel Bienstock, Annabella Brotherston, Madison Bryant, Mia Burgener, Emma P. Lieb, Rachel A. Johnson, Jennifer L. Hoffman, Kania Campbell, Kiena Campbell, Courtney Cassidy, Sage Krzyzkowski, Maddox Jones, Skylar Abookire, Luke Hawkins, Sunnah Yoon, Andrea Chu, Yan Qin, Nyah Cubbison, Brian Gearity, Daniel Mcintosh, Mariely Cruz, Edward Garrido, Grady Dionne, Nicole Doris, Lyndsie Salvagio, Ann-Charlotte Granholm-Bentley, Anna Dymov, Hannah Eckert, Gabrielle Welsh, Erica Larson, Charlie Ernst, Anna Zhou, Sarah Watamura, Larissa Fedorovich-Klein, Georgie Fields, Kimberly A. Guevara, Aven Mccall, Ben Peltier, Feruz Yahia, Patrick Flores, Jadyn Floyd, Sophia Forcier, J. Von R. Monteza, Peter Sokol-Hessner, Gwendolyn Geiger, Scott Nichols, Camryn Gunter, Kendal Hengst, Charlie Bednarz, Issy Garside, Addison Baker, Rachel Mina, Brooke Hermanson, Amanda Klingler, William Highfill, Sydney Jaques, Kerstin Lewey, Allison Grossery, Daniel Linseman, Ethan Lim, Jagger Livengood, Owen Mantelli, Gabby Pappas, Abby Mcdonald, Madeleine Dierking, Eve Miller, Emma Loeber, Anna Marlow, Michael Kerwin, Ella Mathews, Hillary Hamann, Khadija Mohamed, Vivian Nguyen, Gabri Notov, Ifunayachi Ogbonna-Ukuku, Sunil Kumar, Charles Baysah, Sarah Olson, Don Sullivan, Anna Paradiso, Jay Parrish, Mira Pronobis, Alisha Pravasi, Kerstin Haring, Diego Ramirez, Christopher Reardon, Juliana Ramirez, Casey Doherty, Ella Kestner, Teagan Weindel, Cate Billings, Pablo Torre-Walter, Lucy Rand, Samantha Reynolds, Mark Siemens, Khadeeja Rashid, Laine Satterlee, Piper Heilbronner, Lily Pound, Ben Whitehurst, Anna Respet, Lizzie Lesoing, Sydney Hertel, Aya Saad-Masri, Brooke Ballenger, Max Proske, Hannah Rosenberg, Ellia Nakahara, Sophia Espinoza, Ivan Woolhouse, Simon Ruland, Gorkem Er, Timothy Sweeny, Melaku Saketa, Michela Schenk, Maren Lynch, Madi Hamm, Grace Schroeder, Michelle Rozenman, Rana Seif, Jackson Hall, Marisela Simental, Daniel Paredes, Aaron Mena, Preston Spaan, Evelyn Stovin, David Andrew Swartz, Anh Tran, Daniel Pittman, Luke Farchione, Emily Boyer, Ukari Verner, Lacey Conrad, Jonathan Velotta, James Weiner, Jagger Gossett, Noah Sherry, Sam Proud, Ben Block, Avi Narayana, Zoey Weiss, Alyssa Wilson, Gabrielle Walsh, David Zonana, Keely Wright, Kena Riveria, Lillybelle Deer, Jena Doom, Elysia Davis, Isabelle Yaremenko, Caitlyn Young

DU Undergraduate Research Journal Archive

Abstracts from the DU Undergraduate Research Showcase.

A Novel Approach To Increase Accuracy In Remotely Sensed Evapotranspiration Through Basin Water Balance And Flux Tower Constraints, Kul Khand, Gabriel B. Senay, Mackenzie Friedrichs, Koong Yi, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Arman Ahmadi, Housen Chu, Stephen Good, Kanishka Mallick, Justine Missik, Jacob A. Nelson, David E. Reed, Tianxin Wang, Xiangming Xiao

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Remote sensing-derived evapotranspiration (RSET) products capture the spatiotemporal variations of evapotranspiration (ET) from field to basin scales with unprecedented details. However, their accuracy varies across RSET estimation methods and diverse hydroclimate regions. While ET modeling efforts to account for biophysical processes and controlling parameters have made good progress in recent years, a parallel approach of integrating in-situ ET with RSET could reduce biases in RSET products. Basin water balance ET (WBET) and flux tower ET are widely applied to evaluate RSET accuracy, yet such ET measurements are rarely used for RSET bias corrections, especially for large area applications. To address …