Geography Commons^™

17O-Excess In Tropical Cyclones Reflects Local Rain Re-Evaporation More Than Moisture Source Conditions, Chijun Sun, Timothy Shanahan, Shaoneng He, Adriana Bailey, Jesse Nusbaumer, Jun Hu, Aubrey Hillman, Erika Ornouski, Jacob Warner, Kristine Delong

Faculty Publications

17O-excess is a relatively new water isotope parameter that could potentially provide useful information about the hydrological cycle. Previous works focusing on 17O-excess in polar regions suggest that it primarily tracks moisture source relative humidity, but little is known about how to interpret 17O-excess data in lower latitudes. Here we present quasi-hourly triple oxygen isotope data of precipitation collected from two tropical cyclones in Texas and Louisiana in 2020 to understand the impacts of environmental and meteorological processes on the 17O-excess of low-to mid-latitude precipitation. We find that at both hourly timescales and the event scale, 17O-excess is strongly correlated …

Effects Of Social Media Use Disparities On Community Resilience To Disasters, Kejin Wang

LSU Doctoral Dissertations

With the rapid development of social media, many researchers chose to use social media data to conduct studies of disaster resilience. This dissertation addresses three fundamental challenges related to social media use and disaster resilience analysis including: how the spatial analysis scale affects the results of social media use disparity and its impacts on disaster resilience; how different vulnerability and resilience measurement methods can generate very different results; and how social media use disparity can be identified to help improve the fairness of AI-based emergency rescue model development. Therefore, the first part of the dissertation measured the relationships between disparities …

Pal-Bert: An Improved Question Answering Model, Wenfeng Zheng, Siyu Lu, Zhuohang Cai, Ruiyang Wang, Lei Wang, Lirong Yin

Faculty Publications

In the field of natural language processing (NLP), there have been various pre-training language models in recent years, with question answering systems gaining significant attention. However, as algorithms, data, and computing power advance, the issue of increasingly larger models and a growing number of parameters has surfaced. Consequently, model training has become more costly and less efficient. To enhance the efficiency and accuracy of the training process while reducing the model volume, this paper proposes a first-order pruning model PAL-BERT based on the ALBERT model according to the characteristics of question-answering (QA) system and language model. Firstly, a first-order network …

Gendered Perceptions And Socio-Economic And Spatial Determinants Of Fear Of Crime: An Empirical Analysis In Szczecin, Poland, Natalia Sypion, Arkadiusz Kołodziej, Michael Leitner, Marek Dutkowski

Faculty Publications

The study of the fear of crime phenomenon provides a socially and politically important research question. Many studies show that gender differentiates the fear of crime, which is why we examine this phenomenon in a spatial perspective. The female versus male perspective of feelings of safety in residential areas were significantly different. The research was carried out using the CAWI technique in the city of Szczecin, in Poland (n=346). The research also examined which factors influenced the fear of crime the most: darkness, socio-economic characteristics, type of violations, number of registered crimes, or the assessment of police work. The research …

Geospatial Analytics Extension For Knime, Lingbo Liu, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Carsten Haubold, Weihe Wendy Guan, Shuming Bao, Fahui Wang

Faculty Publications

The Geospatial Analytics Extension for KNIME (GAEK) is an innovative tool designed to integrate visual programming with geospatial analytics, streamlining GIS education and research in social sciences. GAEK simplifies access for users with an intuitive, visual interface for complex spatial analysis tasks and contributes to the organization of the GIS Knowledge Tree through its geospatial analytics nodes. This paper discusses GAEK's architecture, functionalities, and its transformative impact on GIS applications. While GAEK significantly enhances user experience and research reproducibility, future updates aim to expand its functionality and optimize its bundled environment.

An Examination Of Homo Naledi Early Juveniles Recovered From The Rising Star Cave System, South Africa, Juliet K. Brophy, Debra R. Bolter, Marina Elliott, John Hawks, Lee R. Berger

Faculty Publications

Background: Six Homo naledi early juveniles were recovered from U.W. 101 (Dinaledi Chamber), U.W. 102 (Lesedi Chamber), and U.W. 110 in the Rising Star cave system. Aim: This paper develops the information for the H. naledi early juvenile life stage, as defined by a combination of deciduous and permanent dentition, and the eruption of the first permanent molar. Subjects and methods: The growing number of young individuals recovered from the Rising Star cave system allows us to gain a better understanding of their variation, or lack thereof, and provides a basis to estimate broad ranges for age at death of …

Human–Environment Interactions At Ta’Ab Nuk Na, A Submerged Maya Salt Works Site In Belize, Cheryl M. Foster, Heather Mckillop, E. Cory Sills

Faculty Publications

Sea-level rise and settlement are investigated at Ta’ab Nuk Na, an ancient Maya salt works in Belize, by examining samples from wooden posts and marine sediment. The samples included Post 145 of Building B and the Nunavut beam, along with marine sediment columns cut from beside both wooden posts. The sediment columns were sampled at 2 cm intervals. Loss-on ignition confirmed the presence of organic material. Identifying the organic content involved removing nonorganic material from the sediment and sorting the organic material under magnification. This procedure established that most of the organic material was red mangrove (Rhizophora mangle). Red mangroves …

Flooded Mangrove Landscapes Hide Ancient Maya Coastal Sites In Belize, Heather I. Mckillop

Faculty Publications

Evidence of ancient Maya exploitation of salt, other marine resources, settlement, and sea trade is hidden in flooded mangrove landscapes on the cays, mainland, and in shallow offshore locations on the south coast of Belize. This article includes a discussion of the coastal economy from the Middle Preclassic through the Postclassic periods (600 B.C.–A.D. 1500). Data from sites discovered and excavated since 1982 in the coastal area of the Port Honduras and Paynes Creek National Park support a model of coastal reliance on marine resources and tree crops. The need for a regular supply of coastal salt to inland cities …

Dpal-Bert: A Faster And Lighter Question Answering Model, Lirong Yin, Lei Wang, Zhuohang Cai, Siyu Lu, Ruiyang Wang, Ahmed Alsanad, Salman A. Alqahtani, Xiaobing Chen, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Recent advancements in natural language processing have given rise to numerous pre-training language models in question-answering systems. However, with the constant evolution of algorithms, data, and computing power, the increasing size and complexity of these models have led to increased training costs and reduced efficiency. This study aims to minimize the inference time of such models while maintaining computational performance. It also proposes a novel Distillation model for PAL-BERT (DPAL-BERT), specifically, employs knowledge distillation, using the PAL-BERT model as the teacher model to train two student models: DPAL-BERT-Bi and DPAL-BERT-C. This research enhances the dataset through techniques such as masking, …

Convolution-Transformer For Image Feature Extraction, Lirong Yin, Lei Wang, Siyu Lu, Ruiyang Wang, Youshuai Yang, Bo Yang, Shan Liu, Ahmed Alsanad, Salman A. Alqahtani, Zhengtong Yin, Xiaolu Li, Xiaobing Chen, Wenfeng Zheng

Faculty Publications

This study addresses the limitations of Transformer models in image feature extraction, particularly their lack of inductive bias for visual structures. Compared to Convolutional Neural Networks (CNNs), the Transformers are more sensitive to different hyperparameters of optimizers, which leads to a lack of stability and slow convergence. To tackle these challenges, we propose the Convolution-based Efficient Transformer Image Feature Extraction Network (CEFormer) as an enhancement of the Transformer architecture. Our model incorporates E-Attention, depthwise separable convolution, and dilated convolution to introduce crucial inductive biases, such as translation invariance, locality, and scale invariance, into the Transformer framework. Additionally, we implement a …

Afbnet: A Lightweight Adaptive Feature Fusion Module For Super-Resolution Algorithms, Lirong Yin, Lei Wang, Siyu Lu, Ruiyang Wang, Haitao Ren, Ahmed Alsanad, Salman A. Alqahtani, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng

Faculty Publications

At present, super-resolution algorithms are employed to tackle the challenge of low image resolution, but it is difficult to extract differentiated feature details based on various inputs, resulting in poor generalization ability. Given this situation, this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block (AFB) for feature extraction. This module mainly comprises dynamic convolution, attention mechanism, and pixel-based gating mechanism. Combined with dynamic convolution with scale information, the network can extract more differentiated feature information. The introduction of a channel spatial attention mechanism combined with …

African Bovid Tribe Classification Using Transfer Learning And Computer Vision, Manuel Domínguez-Rodrigo, Juliet Brophy, Gregory J. Mathews, Marcos Pizarro-Monzo, Enrique Baquedano

Faculty Publications

Objective analytical identification methods are still a minority in the praxis of paleobiological sciences. Subjective interpretation of fossils and their modifications remains a nonreplicable expert endeavor. Identification of African bovids is a crucial element in the reconstruction of paleo-landscapes, ungulate paleoecology, and, eventually, hominin adaptation and ecosystemic reconstruction. Recent analytical efforts drawing on Fourier functional analysis and discrimination methods applied to occlusal surfaces of teeth have provided a highly accurate framework to correctly classify African bovid tribes and taxa. Artificial intelligence tools, like computer vision, have also shown their potential to be objectively more accurate in the identification of taphonomic …

Multiscale Analysis Of Spatial Accessibility To Acute Hospitals In Carinthia, Austria, Changzhen Wang, Michael Leitner, Gernot Paulus

Faculty Publications

Health care accessibility studies are well established in the US but lacking in Austria, even though both experience high costs and have hospital care as the largest contributor to health care spending. This study aims to examine multiscale spatial accessibility to acute hospitals in Carinthia, Austria. Using the most recent data at census block and 250 meter grid levels, we refine proximity and generalized two-step floating catchment area (G2SFCA) methods while accounting for the modifiable areal unit problem (MAUP) and edge effects. For census blocks and 250 meter grids, the mean travel times to the nearest acute hospitals are 16 …

Spatial And Wavelet Analysis Of Precipitation And River Discharge During Operation Of The Three Gorges Dam, China, Lirong Yin, Lei Wang, Barry D. Keim, Kory Konsoer, Zhengtong Yin, Mingzhe Liu, Wenfeng Zheng

Faculty Publications

The Three Gorges Dam and Reservoir on the Yangtze River is one of the world's largest dams. After the dam's construction in 1997, the reservoir started filling up, expanding to a size of over 600 km2. Therefore, its possible influence on maintaining the size and water level of this waterbody is significant and concerning. This research utilized wavelet coherence analysis to examine the temporal correlation and phase coherence among various datasets, including dam injection (1998–2018) and discharge (2003–2018) data, ground station precipitation data along the Yangtze River (1998–2020), and river discharge raster maps 1998–2018. The analysis revealed a strong coherence …

Deficiency Of Healthcare Accessibility Of Elderly People Exposed To Future Extreme Coastal Floods: A Case Study Of Shanghai, China, Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang

Faculty Publications

Socioeconomic development, subsidence, and climate change have led to high flood risks in coastal cities, making the vulnerable, especially elderly people, more prone to floods. However, we mostly do not know how the accessibility of life-saving public resources for the elderly population will change under future scenarios. Using Shanghai as a case, this study introduced a new analytical framework to fill this gap. We integrated for the first time models of coastal flooding, local population growth, and medical resource supply-demand estimation. The results show that under an extreme scenario of coastal flooding in the year 2050, in the absence of …

U-Net-Lstm: Time Series-Enhanced Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Change detection of natural lake boundaries is one of the important tasks in remote sensing image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons in each layer can only be propagated to the upper layer, and the processing of samples is independent at each moment. However, for time-series data with transferability, the learned change information needs to be recorded and utilized. To solve the above problems, we propose a lake boundary change prediction model combining U-Net and LSTM. The ensemble of LSTMs helps to improve the overall accuracy and robustness of the model by capturing …

Providing Risk Of The Environment’S Changing Climate Threats For Galleries, Libraries, Archives, & Museums (Protecct-Glam) Data File, Edward Benoit Iii, Jill Trepanier, Jennifer Vanos, Haley Moore, Kaitlyn Bailey, Emily Fisher, Annie Waddell, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa Mcconnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner, Jane Fiegel, Amanda Lima, Elizabeth Rininger, Caroline Melinger, Deborah Metz-Andrews, Meryl Roepke, Karen Isaac, Mallory Collins

School of Information Studies Datasets

The data file was created as part of the IMLS-funded project, PROTECCT-GLAM: Risk of The Environment’s Changing Climate Threats for Galleries, Libraries, Archives, and Museums in an effort to gather the identities and georeferences of all galleries, libraries, archives, and museums located within the United States.

The data file includes 22,388 archives, 21,189 libraries, and 29,781 museums.

Yolov4_Cspbi: Enhanced Land Target Detection Model, Lirong Yin, Lei Wang, Jianqiang Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Shan Liu, Wenfeng Zheng

Faculty Publications

The identification of small land targets in remote sensing imagery has emerged as a significant research objective. Despite significant advancements in object detection strategies based on deep learning for visible remote sensing images, the performance of detecting a small and densely distributed number of small targets remains suboptimal. To address this issue, this study introduces an improved model named YOLOV4_CPSBi, based on the YOLOV4 architecture, specifically designed to enhance the detection capability of small land targets in remote sensing imagery. The proposed model enhances the traditional CSPNet by redefining its channel partitioning and integrating this enhanced structure into the neck …

A Systematic Review On The Ecosystem Services Provided By Green Infrastructure, Daniel Jato-Espino, Fabio Capra-Ribeiro, Vanessa Moscardó, Leticia Bartolome Del Pino, Fernando Mayor-Vitoria, Laura Gallardo, Patricia Carracedo, Kristin Dietrich

Faculty Publications

Urbanization and climate change are endangering the sustainability of public spaces through increased land artificialization, ecological fragmentation, reduced resource availability, and limited accessibility to natural and seminatural areas. Properly managing Green Infrastructure (GI) can contribute to mitigating these challenges by delivering multiple provisioning, regulating, supporting and cultural Ecosystem Services (ES). This would facilitate the implementation of strategically planned GI networks in cities for urban regeneration purposes. In this context, this study developed a systematic review on the ES provided by GI using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The analysis of 199 eligible articles indicated …

U-Net-Stn: A Novel End-To-End Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Zhengtong Yin, Xuan Liu, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Detecting changes in land cover is a critical task in remote sensing image interpretation, with particular significance placed on accurately determining the boundaries of lakes. Lake boundaries are closely tied to land resources, and any alterations can have substantial implications for the surrounding environment and ecosystem. This paper introduces an innovative end-to-end model that combines U-Net and spatial transformation network (STN) to predict changes in lake boundaries and investigate the evolution of the Lake Urmia boundary. The proposed approach involves pre-processing annual panoramic remote sensing images of Lake Urmia, obtained from 1996 to 2014 through Google Earth Pro Version 7.3 …

Object-Oriented Remote Sensing Approaches For The Detection Of Terrestrial Impact Craters As A Reconnaissance Survey, Habimana Emmanuel, Jaehyung Yu, Lei Wang, Sung Hi Choi, Digne Edmond Rwabuhungu Rwatangabo

Faculty Publications

The purpose of this study is to employ a remote sensing reconnaissance survey based on optimal segmentation parameters and an object-oriented random forest approach to the identification of possible terrestrial impact craters from the global 30-m resolution SRTM DEM. A dataset consisting of 94 confirmed and well-preserved terrestrial impact craters, 104 volcanic calderas, and 124 valleys were extracted from real-world surface features. For craters with different sizes, eight optimal scale parameters from 80 to 3000 have been identified using multi-resolution segmentation, where the scale parameters have a positive correlation (R2 = 0.78) with the diameters of craters. The object-oriented random …

Refining 2svca Method For Measuring Telehealth Accessibility Of Primary Care Physicians In Baton Rouge, Louisiana, Lingbo Liu, Jennifer Alford-Teaster, Tracy Onega, Fahui Wang

Faculty Publications

Equity in health care delivery is a longstanding concern of public health policy. Telehealth is considered an important way to level the playing field by broadening health services access and improving quality of care and health outcomes. This study refines the recently developed “2-Step Virtual Catchment Area (2SVCA) method” to assess the telehealth accessibility of primary care in the Baton Rouge Metropolitan Statistical Area, Louisiana. The result is compared to that of spatial accessibility via physical visits to care providers based on the popular 2-Step Floating Catchment Area (2SFCA) method. The study shows that both spatial and telehealth accessibilities decline …

Communicating Nature-Society Relationships In Coastal Louisiana: An Evaluation Of The Ecosystem Services Framework, Vanessa Van Heerden

LSU Doctoral Dissertations

The ecosystem services (ES) framework is a tool to communicate the value of natural environments to human well-being by monetizing services that natural environments provide to humans. The Louisiana Coastal Master Plan uses the ecosystem services provided by the Mississippi River Delta as rationale for why coastal Louisiana should be protected. Here, I am interested in determining how the ecosystem services framework is used to communicate nature-society relationships in coastal Louisiana. I conducted a meta-analysis and spatial analysis to understand the spatial relationships of ecosystem services in the wetlands of coastal Louisiana. I then conducted a survey of residents of …

Toward One Health: A Spatial Indicator System To Model The Facilitation Of The Spread Of Zoonotic Diseases, Daniel Jato-Espino, Fernando Mayor-Vitoria, Vanessa Moscardó, Fabio Capra-Ribeiro, Leticia Bartolome Del Pino

Faculty Publications

Recurrent outbreaks of zoonotic infectious diseases highlight the importance of considering the interconnections between human, animal, and environmental health in disease prevention and control. This has given rise to the concept of One Health, which recognizes the interconnectedness of between human and animal health within their ecosystems. As a contribution to the One Health approach, this study aims to develop an indicator system to model the facilitation of the spread of zoonotic diseases. Initially, a literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to identify relevant indicators related to One Health. The …

Contrasting Responses Of Atlantic And Pacific Tropical Cyclone Activity To Atlantic Multidecadal Variability, Huanping Huang, William D. Collins, Christina M. Patricola, Yohan Ruprich-Robert, Paul A. Ullrich, Alexander J. Baker

Faculty Publications

This research assesses the influences of Atlantic Multidecadal Variability (AMV) on global tropical cyclones (TCs) using two large ensembles of idealized global climate model simulations with opposite signs of AMV forcings superimposed (i.e., AMV+ and AMV–). We first detect TCs and then compare TC activity by basin in the two AMV experiments. We find contrasting responses of Atlantic and Pacific TC frequency to the AMV anomalies. Compared to AMV–, AMV+ significantly increases TC frequency in the North Atlantic, including those making landfalls. The increase is explained by warmer sea surface temperature, higher relative humidity, increased relative vorticity, and weaker vertical …

The Coralhydro2k Database: A Global, Actively Curated Compilation Of Coral Δ18o And Sr/Ca Proxy Records Of Tropical Ocean Hydrology And Temperature For The Common Era, Rachel M. Walter, Hussein R. Sayani, Thomas Felis, Kim M. Cobb, Nerilie J. Abram, Ariella K. Arzey, Alyssa R. Atwood, Logan D. Brenner, Émilie P. Dassié, Kristine L. Delong, Bethany Ellis, Julien Emile-Geay, Matthew J. Fischer, Nathalie F. Goodkin, Jessica A. Hargreaves, K. Halimeda Kilbourne, Hedwig Krawczyk, Nicholas P. Mckay, Andrea L. Moore, Sujata A. Murty, Maria Rosabelle Ong, Riovie D. Ramos, Emma V. Reed, Dhrubajyoti Samanta, Sara C. Sanchez, Jens Zinke

Faculty Publications

The response of the hydrological cycle to anthropogenic climate change, especially across the tropical oceans, remains poorly understood due to the scarcity of long instrumental temperature and hydrological records. Massive shallow-water corals are ideally suited to reconstructing past oceanic variability as they are widely distributed across the tropics, rapidly deposit calcium carbonate skeletons that continuously record ambient environmental conditions, and can be sampled at monthly to annual resolution. Climate reconstructions based on corals primarily use the stable oxygen isotope composition (δ18O), which acts as a proxy for sea surface temperature (SST), and the oxygen isotope composition of seawater (δ18Osw), a …

Cotton Blight Identification With Ground Framed Canopy Photo-Assisted Multispectral Uav Images, Changwei Wang, Yongchong Chen, Zhipei Xiao, Xianming Zeng, Shihao Tang, Fei Lin, Luxiang Zhang, Xuelian Meng, Shaoqun Liu

Faculty Publications

Cotton plays an essential role in global human life and economic development. However, diseases such as leaf blight pose a serious threat to cotton production. This study aims to advance the existing approach by identifying cotton blight infection and classifying its severity at a higher accuracy. We selected a cotton field in Shihezi, Xinjiang in China to acquire multispectral images with an unmanned airborne vehicle (UAV); then, fifty-three 50 cm by 50 cm ground framed plots were set with defined coordinates, and a photo of its cotton canopy was taken of each and converted to the L*a*b* color space as …

Study On The Thermospheric Density Distribution Pattern During Geomagnetic Activity, Lirong Yin, Lei Wang, Lijun Ge, Jiawei Tian, Zhengtong Yin, Mingzhe Liu, Wenfeng Zheng

Faculty Publications

The atmospheric density of the thermosphere is a fundamental parameter for spacecraft launch and orbit control. Under magnetic storm conditions, the thermospheric atmospheric density experiences significant fluctuations, which have a negative impact on spacecraft control. Exploring thermospheric density during geomagnetic storms can help to mitigate the effects of such events. Research on the inversion of accelerometer measurements for different satellites and the variations of atmospheric density under extreme conditions is still in its infancy. In this paper, the distribution of atmospheric density during three geomagnetic storms is investigated from the inversion results of the Swarm-C accelerometer. Three major geomagnetic storms …

Multidecadal Pre- And Post-Collapse Dynamics Of The Northern Larsen Ice Shelf, Shujie Wang, Hongxing Liu, Richard B. Alley, Kenneth Jezek, Patrick Alexander, Karen E. Alley, Zhengrui Huang, Lei Wang

Faculty Publications

Rapid retreat of Antarctic ice shelves in a warmer climate remains challenging to predict, contributing to uncertainties in projections of sea level rise. The collapse of the Larsen B Ice Shelf on the Antarctic Peninsula in 2002 was perhaps the most dramatic example of ice shelf retreat on record. Despite a general consensus that regional climate warming is associated with ice shelf collapse, knowledge of the precise details leading to and following collapse is limited. Here we examine a comprehensive set of satellite observations, modeling experiments, and climate reanalysis data to elucidate calving behavior, flow dynamics, and mechanical conditions of …

A Stable Isotopic Profile Of Atmospheric River Precipitation Impacting Northern California, Erika Clarise Ornouski

LSU Master's Theses

Atmospheric river (AR) storms are an integral part of California’s hydrologic cycle, providing 30–50% of the state’s annual precipitation. However, “too much of a good thing” can swell

rivers beyond capacity leading to widespread flooding, erosion, and environmental damage. Northern California’s steep topography coupled with its seasonal Sierra Nevada snowpack puts this region at risk for floods and extreme weather hazards that can be triggered by strong ARs. Identifying AR contributions in the water cycle is crucial for informing water resource and emergency management decisions Stable isotope analysis provides a means to understand the movement of precipitation based on fractionation …