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Articles 91 - 120 of 226
Full-Text Articles in Geography
Synoptic Atmospheric Circulation Patterns Associated With Deep Persistent Slab Avalanches In The Western United States, Andrew R. Schauer, Jordy Hendrikx, Karl W. Birkeland, Cary J. Mock
Synoptic Atmospheric Circulation Patterns Associated With Deep Persistent Slab Avalanches In The Western United States, Andrew R. Schauer, Jordy Hendrikx, Karl W. Birkeland, Cary J. Mock
Faculty Publications
Deep persistent slab avalanches are capable of destroying infrastructure and are usually unsurvivable for those who are caught. Formation of a snowpack conducive to deep persistent slab avalanches is typically driven by meteorological conditions occurring in the beginning weeks to months of the winter season, and yet the avalanche event may not occur for several weeks to months later. While predicting the exact timing of the release of deep persistent slab avalanches is difficult, onset of avalanche activity is commonly preceded by rapid warming, heavy precipitation, or high winds. This work investigates the synoptic drivers of deep persistent slab avalanches …
Urban-Rural Differences In Covid-19 Exposures And Outcomes In The South: A Preliminary Analysis Of South Carolina, Qian Huang, Sarah Jackson, Sahar Derakhshan, Logan Lee, Erika Pham, Amber Jackson, Susan L. Cutter
Urban-Rural Differences In Covid-19 Exposures And Outcomes In The South: A Preliminary Analysis Of South Carolina, Qian Huang, Sarah Jackson, Sahar Derakhshan, Logan Lee, Erika Pham, Amber Jackson, Susan L. Cutter
Faculty Publications
As the COVID-19 pandemic moved beyond the initial heavily impacted and urbanized Northeast region of the United States, hotspots of cases in other urban areas ensued across the country in early 2020. In South Carolina, the spatial and temporal patterns were different, initially concentrating in small towns within metro counties, then diffusing to centralized urban areas and rural areas. When mitigation restrictions were relaxed, hotspots reappeared in the major cities. This paper examines the county-scale spatial and temporal patterns of confirmed cases of COVID-19 for South Carolina from March 1st—September 5th, 2020. We first describe the initial diffusion of the …
An Evaluation Of The Performance Of The Twentieth Century Reanalysis Version 3, L. C. Slivinski, G. P. Compo, P. D. Sardeshmukh, J. S. Whitaker, C. Mccoll, R. J. Allan, P. Brohan, X. Yin, C. A. Smith, L. J. Spencer, R. S. Vose, M. Rohrer, R. P. Conroy, D. C. Schuster, J. J. Kennedy, L. Ashcroft, S. Brönnimann, M. Brunet, D. Camuffo, R. Cornes, T. A. Cram, F. Domínguez-Castro, J. E. Freeman, J. Gergis, E. Hawkins, P. D. Jones, H. Kubota, T. C. Lee, A, M. Lorrey, J. Luterbacher, Cary J. Mock, R. K. Przybylak, C. Pudmenzky, V. C. Slonosky, B. Tinz, B. Trewin, X. L. Wang, C. Wilkinson, K. Wood, P. Wyszyński
An Evaluation Of The Performance Of The Twentieth Century Reanalysis Version 3, L. C. Slivinski, G. P. Compo, P. D. Sardeshmukh, J. S. Whitaker, C. Mccoll, R. J. Allan, P. Brohan, X. Yin, C. A. Smith, L. J. Spencer, R. S. Vose, M. Rohrer, R. P. Conroy, D. C. Schuster, J. J. Kennedy, L. Ashcroft, S. Brönnimann, M. Brunet, D. Camuffo, R. Cornes, T. A. Cram, F. Domínguez-Castro, J. E. Freeman, J. Gergis, E. Hawkins, P. D. Jones, H. Kubota, T. C. Lee, A, M. Lorrey, J. Luterbacher, Cary J. Mock, R. K. Przybylak, C. Pudmenzky, V. C. Slonosky, B. Tinz, B. Trewin, X. L. Wang, C. Wilkinson, K. Wood, P. Wyszyński
Faculty Publications
The performance of a new historical reanalysis, the NOAA–CIRES–DOE Twentieth Century Reanalysis version 3 (20CRv3), is evaluated via comparisons with other reanalyses and independent observations. This dataset provides global, 3-hourly estimates of the atmosphere from 1806 to 2015 by assimilating only surface pressure observations and prescribing sea surface temperature, sea ice concentration, and radiative forcings. Comparisons with independent observations, other reanalyses, and satellite products suggest that 20CRv3 can reliably produce atmospheric estimates on scales ranging from weather events to long-term climatic trends. Not only does 20CRv3 recreate a ‘‘best estimate’’ of the weather, including extreme events, it also provides an …
Application Of The Saffir-Simpson Hurricane Wind Scale To Assess Sand Dune Response To Tropical Storms, Jean Taylor Ellis, Michelle E. Harris, Mayra A. Román-Rivera, J. Brianna Ferguson, Peter A. Tereszkiewicz, Sean P. Mcgill
Application Of The Saffir-Simpson Hurricane Wind Scale To Assess Sand Dune Response To Tropical Storms, Jean Taylor Ellis, Michelle E. Harris, Mayra A. Román-Rivera, J. Brianna Ferguson, Peter A. Tereszkiewicz, Sean P. Mcgill
Faculty Publications
Over one-third of the Earth’s population resides or works within 200 km of the coast. The increasing threat of coastal hazards with predicted climate change will impact many global citizens. Coastal dune systems serve as a natural first line of defense against rising sea levels and coastal storms. This study investigated the volumetric changes of two dune systems on Isle of Palms, South Carolina, USA prior to and following Hurricanes Irma (2017) and Florence (2018), which impacted the island as tropical storms with different characteristics. Irma had relatively high significant wave heights and precipitation, resulting in an average 39% volumetric …
Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
Faculty Publications
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …
Spatio-Temporal Modeling Of Earthquake Recovery, Sahar Derakhshan
Spatio-Temporal Modeling Of Earthquake Recovery, Sahar Derakhshan
Theses and Dissertations
The recovery process after a major disaster or disruption, is impacted by the inequality of risk prior to and post event. In the past decades there has been few efforts to model the recovery process and the focus is mainly on staged models (i.e. emergency, restoration, and reconstruction). The overarching research question asks how a non-stage-like model could apply to the recovery process. This study poses three broad questions: 1) what are the indicators suitable for monitoring the recovery process; 2) what are the driving factors of differential recovery trends; and 3) what are the predicted development trajectories for communities …
Immigrant Belonging In Belgium: Laws, Localities, And Living Together, Samuel P. Nielson
Immigrant Belonging In Belgium: Laws, Localities, And Living Together, Samuel P. Nielson
Theses and Dissertations
Nationalism is rising in Europe and the world. Much of it responds to massive migration, with nationalistic Europeans vocalizing their belief that immigrants do not “belong” in their countries. Many states respond to this influx of people and rising antiimmigrant sentiment by creating laws demanding immigrant “integration.” Yet a clear understanding of what defines “integration” remains elusive. So too does an understanding of how laws aimed at immigrant integration influence relationships between immigrants and local citizens, institutions, and spaces. This research addresses both of these points in Belgium, a politically and culturally fractured country that serves as a microcosm of …
A 100 M Population Grid In The Conus By Disaggregating Census Data With Open-Source Microsoft Building Footprints, Xiao Huang, Cuizhen Wang, Zhenlong Li, Huan Ning
A 100 M Population Grid In The Conus By Disaggregating Census Data With Open-Source Microsoft Building Footprints, Xiao Huang, Cuizhen Wang, Zhenlong Li, Huan Ning
Faculty Publications
In the Big Data era, Earth observation is becoming a complex process integrating physical and social sectors. This study presents an approach to generating a 100 m population grid in the Contiguous United States (CONUS) by disaggregating the US census records using 125 million of building footprints released by Microsoft in 2018. Land-use data from the OpenStreetMap (OSM), a crowdsourcing platform, was applied to trim original footprints by removing the non-residential buildings. After trimming, several metrics of building measurements such as building size and building count in a census tract were used as weighting scenarios, with which a dasymetric model …
Remote Sensing And Social Sensing For Improved Flood Awareness And Exposure Analysis In The Big Data Era, Xiao Huang
Remote Sensing And Social Sensing For Improved Flood Awareness And Exposure Analysis In The Big Data Era, Xiao Huang
Theses and Dissertations
Floods are among the most devastating hazards on Earth, posing great threats to a large amount of population in the world. As the severity and frequency of flood events have noticeably increased, there is a growing need to improve the flood awareness and exposure analysis to assist flood mitigation. Fortunately, the Era of Big Data has fostered many innovative spatial data sources as well as spatial data analytics. This dissertation advances the existing flood monitoring studies by obtaining enhanced flood awareness via the development of a data fusion enable and deep learning supported flood monitoring framework that systematically integrates remotely …
Race And Urban Development Of Arsenal Hill, Sc, Samira Nematollahi
Race And Urban Development Of Arsenal Hill, Sc, Samira Nematollahi
Senior Theses
This thesis is a study on the Columbia neighborhood Arsenal Hill. It is one of the oldest neighborhoods in Columbia, but most of the neighborhood’s history is largely erased. In this paper, I studied the progression of change in Arsenal Hill with the goal of assessing who wielded power and to what extent race played a role in the neighborhood’s development. I find that race was the fundamental mover of change and that all other decisions and factors revolved around it. The initial decline of the neighborhood stemmed from its racial heterogeneity which then progressed into developers seeing Arsenal Hill …
Remote Sensing Derived Indices For Tracking Urban Land Surface Change In Case Of Earthquake Recovery, Sahar Derakhshan, Susan Lynn Cutter, Cuizhen Wang
Remote Sensing Derived Indices For Tracking Urban Land Surface Change In Case Of Earthquake Recovery, Sahar Derakhshan, Susan Lynn Cutter, Cuizhen Wang
Faculty Publications
The study of post-disaster recovery requires an understanding of the reconstruction process and growth trend of the impacted regions. In case of earthquakes, while remote sensing has been applied for response and damage assessment, its application has not been investigated thoroughly for monitoring the recovery dynamics in spatially and temporally explicit dimensions. The need and necessity for tracking the change in the built-environment through time is essential for post-disaster recovery modeling, and remote sensing is particularly useful for obtaining this information when other sources of data are scarce or unavailable. Additionally, the longitudinal study of repeated observations over time in …
Modeling Quality Of Urban Life Using A Geospatial Approach, Helena Merschdorf, Michael E. Hodgson, Thomas Blaschke
Modeling Quality Of Urban Life Using A Geospatial Approach, Helena Merschdorf, Michael E. Hodgson, Thomas Blaschke
Faculty Publications
The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected objective variables representing urban characteristics based on literature and used principal components analysis to develop uncorrelated components. These components served as the independent variables in a multiple linear regression analysis. The subjective, dependent …
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Zhenlong Li Huan Ning, Michael E. Hodgson, Cuizhen Wang
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Zhenlong Li Huan Ning, Michael E. Hodgson, Cuizhen Wang
Faculty Publications
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and aWebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that …
Flooding And Industrial Swine Farming In North Carolina: Implications Of Natech Hazards On The Assessment Of Environmental Justice, Jacob Ramthun
Flooding And Industrial Swine Farming In North Carolina: Implications Of Natech Hazards On The Assessment Of Environmental Justice, Jacob Ramthun
Theses and Dissertations
“Natech” events, in which natural hazards trigger anthropogenic hazards, are becoming increasingly common. Methodologies for measuring the impact of natech events on environmental justice assessments are lacking, particularly in rural scenarios. This study used additive, multiplicative, and z-score threshold methods of combining the density of industrial swine farms in eastern North Carolina and the presence of flood risk to determine whether or not natech risk exhibits emergent socioeconomic indicators and whether areas of high natech constitute environmental injustice. The multiplicative and z-score threshold methods generated variables representing natech risk to compare to socioeconomic indicators, as well as statistically significant hotspots. …
A Gis-Based Risk Assessment For Fire Departments: Case Study Of Richland County, Sc, Tracy Whelen
A Gis-Based Risk Assessment For Fire Departments: Case Study Of Richland County, Sc, Tracy Whelen
Theses and Dissertations
Risk assessments enable fire departments to be better prepared for future incidents and to engage in more effective prevention activities. A combination of physical, demographic, and behavioral risk factors combined form a community’s level of risk. This research shows how spatial and nonspatial statistical methods can be used within a GIS framework to create such a risk assessment, with the Columbia-Richland Fire Department in Richland County, SC being used as a case study. Hot spot analysis and thematic mapping of incident rates were used to assess the first research question – what is the spatial variability of structure fires, carbon …
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Huan Ning, Zhenlong Li, Michael E. Hodgson, Cuizhen Wang
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Huan Ning, Zhenlong Li, Michael E. Hodgson, Cuizhen Wang
Faculty Publications
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way …
Chronic Kidney Disease From Non-Traditional Causes Throughout Central America, Abigail K. Watson
Chronic Kidney Disease From Non-Traditional Causes Throughout Central America, Abigail K. Watson
Senior Theses
Throughout many Central American countries, incidence of chronic kidney disease (CKD) has been on the rise. The disease mainly affects agricultural workers and differs from typical CKD. Patients in these countries often do not have preexisting conditions such as diabetes or hypertension known to be traditional causes of CKD. They also experience increased damage to the kidney tubules, rather than the glomeruli generally more heavily impacted. There has been speculation regarding the causes of CKDnT (chronic kidney disease of nontraditional causes), but no consensus has been reached. Two major hypotheses to explain the high prevalence among Central American sugarcane workers …
Innovative Approaches Using Multispectral Imagery To Detect Nearshore Bars And Elucidate Beach-Dune System Dynamics, Mayra A. Román-Rivera
Innovative Approaches Using Multispectral Imagery To Detect Nearshore Bars And Elucidate Beach-Dune System Dynamics, Mayra A. Román-Rivera
Theses and Dissertations
Nearshore bars naturally protect the coast against erosion by dissipating wave energy. They are significant reservoirs of sand, and thus, they may impact the response of beaches to different wave conditions. Nearshore bar position and morphologic variability also influences long- and short-term beach and dune stability. This study reveals how nearshore bars influence beach-dune dynamics using very high-resolution (VHR) imagery. A new low- cost identification approach for bar identification was applied by integrating VHR imagery. Future nearshore bar research will benefit from integrating the larger spatial scale provided by satellite sensors. A rule-based OBIA approach was successful in identifying and …
Understanding The Spatiotemporal Development Of Human Settlement In Hurricane-Prone Areas On The Us Atlantic And Gulf Coasts Using Nighttime Remote Sensing, Xiao Huang, Cuizhen Wang, Junyu Lu
Understanding The Spatiotemporal Development Of Human Settlement In Hurricane-Prone Areas On The Us Atlantic And Gulf Coasts Using Nighttime Remote Sensing, Xiao Huang, Cuizhen Wang, Junyu Lu
Faculty Publications
Hurricanes, as one of the most devastating natural hazards, have posed a great threat to people in coastal areas. A better understanding of the spatiotemporal dynamics of human settlement in hurricane-prone areas largely benefits sustainable development. This study uses the nighttime light (NTL) data from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) to examine human settlement development in areas with different levels of hurricane proneness from 1992 to 2013. The DMSP/OLS NTL data from six satellites were intercalibrated and desaturated with the Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) optical imagery to derive …
Shelf Inputs And Lateral Transport Of Mn, Co, And Ce In The Western North Pacific Ocean, Peter L. Morton, William M. Landing, Alan M. Shiller, Thomas D. Kelly, Michael Bizimis, John R. Donat, Eric H. De Carlo, Joseph Shacat
Shelf Inputs And Lateral Transport Of Mn, Co, And Ce In The Western North Pacific Ocean, Peter L. Morton, William M. Landing, Alan M. Shiller, Thomas D. Kelly, Michael Bizimis, John R. Donat, Eric H. De Carlo, Joseph Shacat
Faculty Publications
The margin of the western North Pacific Ocean releases redox-active elements like Mn, Co, and Ce into the water column to undergo further transformation through oxide formation, scavenging, and reductive dissolution. Near the margin, the upper ocean waters enriched in these elements are characterized by high dissolved oxygen, low salinity, and low temperature, and are a source of the North Pacific Intermediate Water. High dissolved concentrations are observed across the Western Subarctic Gyre, with a rapid decrease in concentrations away from the margin and across the subarctic-subtropical front. The particulate concentrations of Mn, Co, and Ce are also high in …
Evaluating The Efficacy Of Sand Fences On Dunes Impacted By Hurricanes, Michelle Harris
Evaluating The Efficacy Of Sand Fences On Dunes Impacted By Hurricanes, Michelle Harris
Theses and Dissertations
Erosion is present in over 90% of the world’s coastlines and poses a threat to infrastructure and natural systems. While the coastal zone is a morphologically dynamic environment, a range of engineering practices have evolved to stabilize it. Because the natural dune system serves as the first line of defense against storm activity and rising sea levels, it is often incorporated into restorative engineering practices. One popular and economical option is the utilization of sand fences. This option is readily available to homeowners and managers, with simple installation requirements. Typically measured for their ability to induce short-term dune growth, scant …
Don't Rock The Boat: An Analysis Of Boat Mitigation Prior To Hurricane Landfall, Jessica M. Brugh
Don't Rock The Boat: An Analysis Of Boat Mitigation Prior To Hurricane Landfall, Jessica M. Brugh
Theses and Dissertations
Tropical cyclones are one of the most destructive and costly natural hazards in the United States. Boat owners and marinas are uniquely impacted by these devastating events. Boats pose a substantial monetary loss to owners unable to evacuate or mitigate damage prior to hurricane landfall, and the time it takes to secure them may impact a household’s ability to evacuate in a timely manner. The purpose of this study is to examine the physical and social variables that influence an owner’s decision, as well as how this decision affects the household’s ability to evacuate and the timing of that evacuation. …
Urban Greenway Vegetative Communities And Environmental Drivers In The Southeastern United States, Erika Y. Chin
Urban Greenway Vegetative Communities And Environmental Drivers In The Southeastern United States, Erika Y. Chin
Theses and Dissertations
Greenways serve as parks or non-motorized transportation routes for urban residents, but as greenspaces they also have the potential to enhance habitat quality and availability. This dissertation examined two aspects of urban greenways: the motivations for establishing greenways and the structure of vegetative communities found within them. Analysis of greenways plans revealed that the provision of natural resources and societal benefits are not promoted equally. In general, social and recreational functions are prioritized in greenway designs, while environmental benefits and services are expected to be inherently and equally possessed by all greenspaces and greenways. Consequently, specific conservation actions (e.g. habitat …
Leveraging Geotagged Social Media To Monitor Spatial Behavior During Population Movements Triggered By Hurricanes, Yago Martín González
Leveraging Geotagged Social Media To Monitor Spatial Behavior During Population Movements Triggered By Hurricanes, Yago Martín González
Theses and Dissertations
In a world of increased mobility and interconnectedness, the study of spatial behavior becomes more relevant than ever. However, multiple researchers have highlighted that the understanding of these dynamic processes has reached a bottleneck derived from the rigidity of traditional spatial behavior inquiry methods and the unavailability of trustworthy and relevant information. These difficulties are even more prominent during emergencies and disasters as these events often create scenarios where spatial behavior does not follow regular and logical patterns and where conventional mobility datasets are often skewed or not existent. Thus, many scholars working within the spatial behavior sub-discipline are pursuing …
Assessing Natural And Mechanical Dune Performance In A Post-Hurricane Environment, Jean T. Ellis, Mayra Alejandra Roman-Rivera
Assessing Natural And Mechanical Dune Performance In A Post-Hurricane Environment, Jean T. Ellis, Mayra Alejandra Roman-Rivera
Faculty Publications
The purpose of this study is to document the geomorphic evolution of a mechanical dune over approximately one year following its installation and compare it to the recovery of a natural dune following the impact of Hurricane Matthew (2016). During the study period, the dunes’ integrity was tested by wave and wind events, including king tides, and a second hurricane (Irma, 2017), at the end of the study period. Prior to the impact of the second hurricane, the volumetric increase of the mechanical and natural dune was 32% and 75%, respectively, suggesting that scraping alone is not the optimal protection …
The Place In Displacement: Stories Of Loss From The Chan-75 Dam, Patrick Daniel Mckenzie
The Place In Displacement: Stories Of Loss From The Chan-75 Dam, Patrick Daniel Mckenzie
Senior Theses
In 2008, AES (a U.S.-based, Fortune 500 power company) began construction on the Chan-75 dam in Nance del Risco, Panama. This dam flooded and displaced four indigenous Ngobe communities. However, this displacement represents more than just a relocation of people; it represents a fracturing of families and communities. While some impacts of displacement are obvious, other aspects of day-to-day loss are often ignored. Changes in family relations and sense of control, for example, cannot possibly be compensated by a corporation. This thesis examines both the history of the Chan-75 dam and the impacts its construction has had on one family.
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning And Crowdsourcing, Huan Ning
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning And Crowdsourcing, Huan Ning
Theses and Dissertations
This thesis aims to implement a prototype system to screen flooding photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision makers. This system is designed for the application to the real social media images, including several key functions: tweets downloading, image downloading, flooding photo detection, and human verification via a WebGIS application. In this study, a training dataset of 5,000 flooding photos was built based on an iterative method; a convolutional neural network (CNN) was then trained and applied to detect flooding photos. Also, …
Ammani Youth- Paradoxical Citizens On The Margins, Holly L. Smith
Ammani Youth- Paradoxical Citizens On The Margins, Holly L. Smith
Theses and Dissertations
Cities are complex social environments representing a convergence of many physical and human processes which influence how young people form their identities and plan for their futures. The role of urban environments on social processes has received substantial attention. However, significantly less attention has been focused on how urban youth are impacted specifically as political actors. Youth are particularly exposed to feeling the impacts of historical and on-going geopolitical issues in and surrounding their urban environments. Amman, Jordan is a compelling location to examine urban impacts on young political actors because of the clear geopolitical changes taking place in and …
Monitoring 40-Year Lake Area Changes Of The Qaidam Basin, Tibetan Plateau, Using Landsat Time Series, Huiying Li, Dehua Mao, Xiaoyan Li, Zongming Wang, Cuizhen Wang
Monitoring 40-Year Lake Area Changes Of The Qaidam Basin, Tibetan Plateau, Using Landsat Time Series, Huiying Li, Dehua Mao, Xiaoyan Li, Zongming Wang, Cuizhen Wang
Faculty Publications
Areal changes of high-altitude inland lakes on the Qaidam Basin (QB) of the Tibetan Plateau are reliable indicators of climate change and anthropogenic disturbance. Due to the physical difficulties to access, our knowledge of the spatial patterns and processes of climatic and human impacts on the Basin has been limited. Focusing on lake area changes, this study used long-term Landsat images to map the patterns of lakes and glaciers in 1977, 1990, 2000, and 2015, and to monitor the spatially explicit changes of lakes between 1977 and 2015. Results revealed that the total number of lakes (area > 0.5 km2 ) …
Mapping Soil Alkalinity And Salinity In Northern Songnen Plain, China With The Hj-1 Hyperspectral Imager Data And Partial Least Squares Regression, Lin Bai, Cuizhen Wang, Shuying Zang, Changshan Wu, Jinming Luo, Yuexiang Wu
Mapping Soil Alkalinity And Salinity In Northern Songnen Plain, China With The Hj-1 Hyperspectral Imager Data And Partial Least Squares Regression, Lin Bai, Cuizhen Wang, Shuying Zang, Changshan Wu, Jinming Luo, Yuexiang Wu
Faculty Publications
In arid and semi-arid regions, identifying and monitoring of soil alkalinity and salinity are in urgently need for preventing land degradation and maintaining ecological balances. In this study, physicochemical, statistical, and spectral analysis revealed that potential of hydrogen (pH) and electrical conductivity (EC) characterized the saline-alkali soils and were sensitive to the visible and near infrared (VIS-NIR) wavelengths. On the basis of soil pH, EC, and spectral data, the partial least squares regression (PLSR) models for estimating soil alkalinity and salinity were constructed. The R2 values for soil pH and EC models were 0.77 and 0.48, and the root …