GIS Day 2013 at the University of Oklahoma, Nov 20th 2013
Invitation
If you use geospatial technologies (remote sensing, global positioning system and geographic information system) in your research or course projects, please enter a poster that showcases your research activities.
Enter to Win prizes!
Participation includes lunch, t-shirt and poster mounting!
Free Printing for first 10 entries
Eligibility
Undergraduate and graduate students at the University of Oklahoma are eligible to participate
Awards
Three best posters will be given in both the undergraduate and graduate categories.
First Prize:Chrome Book
Second Prize: $100 pre-paid debit card
Third Prize: $50 pre-paid debit card
One Student choice award by popular ballot will be given.
Winners will be announced and awards given at the GIS Day Expo.
Deadlines
Registration deadline: Monday, November 11th 2013
Poster submission deadline for free printing (first 10 entries): Thursday, November 14th, submit to Melissa Scott at mscott@ou.edu
How to participate
Complete and submit the registration form below.
Prepare your poster to show your research activities. The content of your poster can range from preliminary results to the ready-for-submission-to-journal results. Free printing is available for the first 10 entries.
Poster size is 48-inch in width and 36-inch in height.
Display your poster by 10:00am at the GIS Day Expo on 11/20/2103. Easels form board and adhesive materials will be provided to all participants on site
Attend your poster from 10:30am - 12:00pm (noon) to meet students and judges
Evaluation and Criteria
Entries will be evaluated by faculty judges from the GIS Day Expo committee.
Please provide the following information to complete your registration. A confirmed email will be sent to you after your poster registration is approved.
Technical Support
For technical questions on poster preparation and evaluation, please contact Dr. Keith Brewster (kbrews@gcn.ou.edu) who leads the Student Poster Contest.
For accommodations on the basis of disability contact Melissa Scott at mscott@ou.edu
Registration period ended or not open yet
Registered Posters
Graduate Student
Mapping paddy rice using multi-temporal Landsat imagery in the Sanjiang Plain, Northeast China Jin, Cui
University of Oklahoma
Modeling Seasonal Dynamics and Spatial Pattern of Seasonal Influenza at the Global Scale Tang, Shiyun
University of Oklahoma
Modeling brome grass infestations in southwest Oklahoma using logistic regression Yan, Dong
University of Oklahoma
A GIS Approach to Analyze Accessibility to the Cities in West Africa Adhikari, Pradeep
University of Oklahoma
A CONUS-wide analysis of flash flooding: simulations, warnings, and observations Clark, Race
University of Oklahoma
Mapping natural wetlands in Panjin , Northeast China, using multipl-temporal Landsat 8 images Yuting, Zhou
Earth Observation and Modeling Facility
Land surface phenology and bird migration Batbayar, Nyambayar
University of Oklahoma
Mapping paddy rice agriculture in Yangzi river of China using multi-temporal OLI images Wang, Jie
Earth Observation and Modeling Facility
A Suite of GIS-based Tools for Siting Low Impact Development in an Urban Watershed Martin-Mikle, Chelsea
University of Oklahoma
Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs. Kaligirwa, Nathalie
University of Oklahoma
Warm vs. Cold Holiday Crime Analysis in Houston, Texas Holmes, Sean
University of Oklahoma
Exploring Vulnerabilities in the September 2013 Colorado Front Range Flood Fagan, Emma
University of Oklahoma
Mapping the Arab Spring through Late-Night Humor Heitmeier, Brooks
University of Oklahoma
Locating Potential Micro Hydropower Sites on Lake Thunderbird Watershed through InVEST Reservoir Hydropower Model & Map Algebra Guo, Lei
University of Oklahoma
Stream channel burial in a mixed land-use watershed: A case study of the Lake Thunderbird watershed in central Oklahoma Wilgruber, Nick
University of Oklahoma
Vulnerability assessment of potential sea level rise on Nile Delta Egypt Hasan, Emad
University of Oklahoma
A DATA FUSION APPROACH TO CHARACTERIZE FOREST DISTURBANCES: A CASE STUDY IN SOUTHEAST OKLAHOMA 2000-2011 TRAN, TRUNG
University of Oklahoma
A Cloud-based Global Flood Disaster Community Cyber-infrastructure (CyberFlood) Wan, Zhanming
HyDROS
Mapping mid-latitude Africa based on photos from 'Geo-Referenced Field Photo Library' Lee, Chanmi
University of Oklahoma
Landsat and MODIS Fusion for Disturbance Analysis in New Zealand Owsley, Braden
University of Oklahoma
Mapping paddy rice using multi-temporal Landsat imagery in the Sanjiang Plain, Northeast China
Author
Jin, Cui
Institution (department)
University of Oklahoma (Graduate College)
Preview:
Preview not available
Abstract:
The phenology-based algorithms have been widely applied to map the large-scale rice planting area by identifying the unique field flooding and seedling transplanting phases with the multi-temporal MODIS vegetation indices. However, to date, the region-scale paddy rice maps at a fine resolution with a reliable accuracy, were still not available. In this study, we developed our approach with the multi-temporal Landsat imagery for the region-scale rice mapping in the Sanjiang Plain - a region of significant irrigated rice agriculture in China. This approach integrated the unique rice phenological and physiological features respectively in the field flooding and seedling transplanting phase (in late-May to mid-June) and the rice ripening phase (in late-August to late-September) for rice identification, which were delineated by Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Land Surface Water Index (LSWI) from a total of 19 Landsat imagery in 2010-2012. Our result was validated with field investigation data, the rice layer of National Land Cover Dataset (NLCD) at the scale of 100,000, and county-level rice area statistical data. The results showed that (1) the temporal profiles of LSWILandsat and EVILandsat were more sensitive to signal the pixels under the field flooding and seedling transplanting than LSWIMODIS and EVIMODIS did due to the Landsat’s finer spatial resolution, thus, the MODIS phenology-based algorithm was deployed to the Landsat imagery during the flooding/transplanting periods; (2) paddy rice had the distinguishable physiological features on water status, greenness status, and the difference between water and status from other land types during the rice ripening phase, which were represented by LSWILandsat, NDVILandsat, and (NDVILandsat + EVILandsat)/2-LSWILandsat, respectively; thus, the rule-based decision trees were developed for mapping the ripening rice fields; (3) the resultant 30 m Landsat paddy rice map in the Sanjiang Plain had a reasonably high and reliable accuracy (the user and producer accuracies were 89% and 87%, respectively). This methodology has great potential to improve mapping of single-cropped irrigated paddy rice in the North Asia. However, further investigation should be investigated when mapping the complex rice growing ecosystems in South or Southeast Asia.
Modeling Seasonal Dynamics and Spatial Pattern of Seasonal Influenza at the Global Scale
Author
Tang, Shiyun
Institution (department)
University of Oklahoma (Mathematics)
Preview:
Preview not available
Abstract:
Based on the hypothesis that climate – influenza virus – human interactions determine the seasonal dynamics of influenza transmissions in a year at various geographical regions, we created three response functions, for air temperature, relative humidity and human susceptibility, to describe risk factors in human influenza. With these risk factors, we are able to simulate the dynamics of seasonal influenza with a mathematical epidemiological model (SEIRS). For single city case, we reproduced the phenomena that annual influenza activity shows one winter peak in temperate regions (Beijing) and two peaks (winter – and summer peaks) in subtropical regions (Hong Kong). For global scale simulation, we used satellite data to depict the spatial pattern of seasonal influenza. Our work will help to explore a possible mechanism for the global circulation of the influenza and to better understand the circulation over the globe.
Modeling brome grass infestations in southwest Oklahoma using logistic regression
Author
Yan, Dong
Institution (department)
University of Oklahoma (Geography and environmental Sustainability)
Preview:
Preview not available
Abstract:
The extensive infestation of brome grasses (Cheatgrass, Rye brome and Japanese brome) in southwest Oklahoma imposes negative impacts on local economy and ecosystem in terms of decreasing crop and forage production and increasing fire risk. Previously proposed methodologies on brome grass detection are found ill-suitable for southwest Oklahoma as a result of similar responses of background vegetation to inter-annual variability of rainfall.
In this study, we aim to model brome grass infestations using logistic regression by using spectral information retrieved from multi-temporal Landsat imageries, topographic information provided by ASTER DEM and soil property data obtained from the Gridded Soil Survey Geographic (gSSURGO) Database. Field identified brome grass infestation will be used to train and validate the logistic regression model.
A GIS Approach to Analyze Accessibility to the Cities in West Africa
Author
Adhikari, Pradeep
Institution (department)
University of Oklahoma (Geography and Environmental Sustainability)
Preview:
Preview not available
Abstract:
Many settlements around the world and in particular in the developing countries suffer due to lack of basic services like health care and education. Such suffering is mainly due to poor or no year around access to the services provided by the states. Urban centers are better served than places away from the urban centers. In this study a GIS approach with road network information and remote sensing data is used to study the accessibility to the cities of West Africa. It is found that it takes a little over two and half days (63 hrs.) from the remotest area in the region to reach the nearest city with a population of at least 1,000. The created accessibility maps are used to better understand the distance between agricultural areas and markets.
A CONUS-wide analysis of flash flooding: simulations, warnings, and observations
Author
Clark, Race
Institution (department)
University of Oklahoma (Meteorology)
Preview:
Preview not available
Abstract:
This study examines the frequency of occurrence of flash flooding events across the conterminous United States (CONUS). Observations of flash flooding events from the National Weather Service’s (NWS) Storm Data publication are compared to flash flood warnings and situations where precipitation exceeds flash flood guidance (FFG). A regional maximum of flash flooding activity is observed in the mid and lower Mississippi River valleys. Flash flooding events are shown to be less common in the northern plains, the western US, and in the southeastern US. The correlation between Storm Data observed flooding and flash flood warnings is stronger than the correlation between Storm Data observed flooding and areas of high FFG.
Mapping natural wetlands in Panjin , Northeast China, using multipl-temporal Landsat 8 images
Author
Yuting, Zhou
Institution (department)
Earth Observation and Modeling Facility ( Department of Microbiology and Plant Biology)
Preview:
Preview not available
Abstract:
Wetlands are called the kidney of nature for abundant resources, special ecosystem structure and function. They play important roles in water purification, flood control, and shoreline stability. Wetlands serve as home to a wide range of plant and animal life. They are also very beautiful scenery for people’s trip. But the distribution of wetlands are threatened by both global climate change and land use change by human beings. In Panjin, Northeastern China, some natural wetlands were changed to oil well or paddy rice, the main artificial wetlands in this area. It is important to know the distribution and dynamics of natural wetlands in Panjin. In this study, we tried to map natural wetlands in Panjin, using multi-temporal Landsat 8 images.
Land surface phenology and bird migration
Author
Batbayar, Nyambayar
Institution (department)
University of Oklahoma (Microbiology and Plant Biology)
Preview:
Preview not available
Abstract:
We assessed bar-headed geese migration using satellite telemetry and MODIS land surface phenology data, such as normalized difference vegetation index, snow cover, and land surface temperature. These satellite derived products were used to understand migration timing, duration, and distribution of stopover and staging sites.
Mapping paddy rice agriculture in Yangzi river of China using multi-temporal OLI images
Author
Wang, Jie
Institution (department)
Earth Observation and Modeling Facility (Department of Microbiology and Plant Biology)
Preview:
Preview not available
Abstract:
This paper developed a new method to produce paddy rice mapping using multi-temporal landsat 8 images. As well as employing phenology characteristics of crops in research area, all imageries acquired by Landsat 8 were innovatively applied into the paddy rice mapping. Unlike traditional mapping efforts mainly choosing good quality images with less cloud coverage, this method took advantage of imagery information fully. This paper using a time series of Landsat 8 imagery-derived vegetation indices identified the flooding and transplanting period of paddy rice fields, which are characterized by an unique mixture of surface water and rice seedlings. The paddy rice map in this paper was mainly verified by in-situ cropland photos, which were taken in the late of July and early August in this year. These results demonstrated the potential of this new algorithm to generate high spatial paddy rice agriculture mapping using Landsat 8 imageries.
A Suite of GIS-based Tools for Siting Low Impact Development in an Urban Watershed
Author
Martin-Mikle, Chelsea
Institution (department)
University of Oklahoma (Department of Geography and Environmental Sustainability)
Preview:
Preview not available
Abstract:
Low impact development (LID) -- a comprehensive land use planning and design approach with the goal of mitigating development impacts to hydrologic/nutrient cycles and ecosystems -- is increasingly being touted as an effective approach to lessen runoff and pollutant loadings. Examples of LID include rain barrels, green roofs, porous pavement, grassed swales, rain gardens, detention/retention ponds and riparian buffers. Broad-scale decision support tools for siting LIDs have been developed for agricultural watersheds, but are rare for urban watersheds, largely due to greater land use complexity and lack of necessary high-resolution geospatial data. Here, we introduce a suite of GIS-based tools to assist city planners and water quality managers in effectively siting LID in urban watersheds.
Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs.
Author
Kaligirwa, Nathalie
Institution (department)
University of Oklahoma (Computer Science)
Preview:
Preview not available
Abstract:
The poster will show the techniques used for parallel quadtree coding of large-scale raster geospatial data on multicore CPUs and GPGPUs. Specifically, the poster will show the work done so far on the parallel encoding process.
Warm vs. Cold Holiday Crime Analysis in Houston, Texas
Author
Holmes, Sean
Institution (department)
University of Oklahoma (Geography)
Preview:
Preview not available
Abstract:
We all know temperature affects our mood, but does temperature affect crime? Houston, Texas is home to approximately 2.16 million people and is a "hotbed" for crime. This poster is an analysis of how the spatial distribution of crime changes depending on the time of year and the temperature. We analyzed Houston crime data from December 30, 2012-January 3, 2013 (New Years) and July 2,2013- July 6,2013 (July 4th weekend). This poster shows first where current police stations are and geo-coded points showing where certain crimes occurred, kernel density maps by crime with contour lines, how many crimes occurred within a 6 mile multiple ring buffer and where new sub-stations should be placed, a kernel density map showing a single crime over a 24 hour period, and the average temperature present during these crimes.
Exploring Vulnerabilities in the September 2013 Colorado Front Range Flood
Author
Fagan, Emma
Institution (department)
University of Oklahoma (Geography)
Preview:
Preview not available
Abstract:
From September 9 to September 16, 2013, the Front Range of Colorado experienced a devastating flooding event. This project performs a brief case study of the flooding event and explores vulnerability from both societal and environmental components. A geographic information system (GIS) was utilized to overlay multiple data layers and analyze the vulnerability of each census tract in Boulder County, Colorado. Using demographic information (population density, age, and income) and environmental information (total precipitation, land use land cover, elevation, floodplain, soil data, and river and lake placement) the author performed a vulnerability assessment for each census tract. The author will present key results of this ongoing research project.
Mapping the Arab Spring through Late-Night Humor
Author
Heitmeier, Brooks
Institution (department)
University of Oklahoma (Geography and Environmental Sustainability)
Preview:
Preview not available
Abstract:
Late-night comedians regularly include or refer to the day’s news in their opening monologues. In turn, mainstream news outlets embed clips of these monologues in their own broadcasts, granting late-night comedy a wider reach than its ratings imply. In examining a database consisting of 35,000 jokes in a twelve-year timespan, we find that late-night coverage of a recent and still-ongoing international event—the Arab Spring revolutions—has tended to involve specific countries for about as long as they remain highlighted in the mainstream media at large. In accordance with the burgeoning field of digital humanities, we present maps and graphs to display the longitudinal and spatial patterns of joke-telling as a preliminary look into how international events are addressed by this unique form of media.
Locating Potential Micro Hydropower Sites on Lake Thunderbird Watershed through InVEST Reservoir Hydropower Model & Map Algebra
Author
Guo, Lei
Institution (department)
University of Oklahoma (Regional and City Planning)
Preview:
Preview not available
Abstract:
Hydropower is energy that comes from the force of moving water. It has accounted for twenty percent of worldwide energy production. Micro hydropower systems are very flexible and can be deployed in a number of different environments. Compared to the large dam, microhydro systems pose minimum damage to surrounding natural environment. The objective of this research is using InVEST Reservoir Hydropower Model to investigate the geophysical feasibility of hydropower in Lake Thunderbird watershed and locate the potential sites for micro power system within the City of Norman.
Stream channel burial in a mixed land-use watershed: A case study of the Lake Thunderbird watershed in central Oklahoma
Author
Wilgruber, Nick
Institution (department)
University of Oklahoma (Geography and Environmental Sustainability)
Preview:
Preview not available
Abstract:
Accurate mapping of stream channel networks is important for hydrologic models, site planning/construction, stream ecosystem assessment, and water policy decisions. This presentation illustrates the evolution of the Lake Thunderbird watershed channel network in central Oklahoma since 1874. Public Land Survey System plats and watershed modeling allowed us to map the channel network in 1874, before any major development. We then used aerial photographs to construct 1942 and 1957 channel network maps, before major suburbanization, and a 2010 channel network map to complete the channel network timeline. The data illustrate the major changes associated with broad scale land use change such as suburbanization and agricultural land development. Drainage densities and channel lengths buried are presented for each period to illustrate channel network evolution. Physiographic influences on drainage densities are also characterized. Overall, channel density decreased steadily each year with the most drastic loss of stream channel length between 1975 and 2010.
Vulnerability assessment of potential sea level rise on Nile Delta Egypt
Author
Hasan, Emad
Institution (department)
University of Oklahoma (Center for spatial analysis)
Preview:
Preview not available
Abstract:
The objective of this work is to determine the percentage of the affected land, land cover types, and population due to the predicated sea level rise in Nile Delta Egypt. The Nile Delta is heavy cultivated region and habitats more than half of the Egyptian population. The expected global sea level rise will cause a huge impact on the Nile Delta region. A 0.3 meter rise in sea level is expected to occur by 2025, and after 100 years, it is expected to rise more than 1 meter. This will bring the more threats to more inland areas and inundate very large part of the delta, also turning the region into a salty wasteland.
A DATA FUSION APPROACH TO CHARACTERIZE FOREST DISTURBANCES: A CASE STUDY IN SOUTHEAST OKLAHOMA 2000-2011
Author
TRAN, TRUNG
Institution (department)
University of Oklahoma (Geography and Environmental Sustainability)
Preview:
Preview not available
Abstract:
Monitoring forest disturbances using remote sensing data with high spatial and temporal resolutions is an important requirement for revealing the relationship between forest disturbances and the dynamics of terrestrial carbon stock as well as ecosystem dynamics. Landsat and MODIS are the two most common imagery data sources for monitoring forest disturbances. Therefore, to have imagery data with high spatial and temporal resolutions, it is necessary to perform a data fusion algorithm to blend a Landsat imagery time-series with a MODIS time-series. The currently available fusion algorithm named Spatial Temporal Adaptive Algorithm for mapping Reflectance Change is tested and modified for a study area in southeast Oklahoma with high accuracy (73 percent). Additionally, mapping disturbance types at high spatial and temporal resolution is necessary to help forest managers and planners in developing informative forest management plans to balance the economic and ecological benefits of a forest ecosystem. Fire and clearcut timber harvesting have been the two most common disturbance agents occurring in the forests of southeast Oklahoma. This study, therefore, classifies disturbances into three classes (fire, harvest, and other) to better facilitate the understanding of disturbance dynamics. The classification results in a time-series of disturbance maps with high overall accuracy (76 percent).
A Cloud-based Global Flood Disaster Community Cyber-infrastructure (CyberFlood)
Author
Wan, Zhanming
Institution (department)
HyDROS (OU)
Preview:
Preview not available
Abstract:
Flood disasters have significant impact on the development of communities globally, often causing loss of life and property. It is increasingly important to create a globally shared flood cyber-infrastructure (cyberFlood) to collect, organize, and manage flood databases that visually provide useful information back to both authorities and the public in real-time. The community shared cyberFlood infrastructure described in this study uses cloud computing services and crowdsourcing data collection methods to provide location-based visualization, statistical analysis and graphing capabilities. It also involves public participation, allowing the public to submit their entries of flood events. This cyberFlood presents an opportunity to eventually modernize the existing paradigm used to collect, manage, analyze, and visualize water-related disasters (e.g. floods, landslide, and droughts).
Mapping mid-latitude Africa based on photos from 'Geo-Referenced Field Photo Library'
Author
Lee, Chanmi
Institution (department)
University of Oklahoma (Earth Observation and Modeling Group)
Preview:
Preview not available
Abstract:
Among a lot of photos from 'Geo-Referenced Field Photo Library,' photos taken from South Sudan, Democratic Republic of the Congo, and Uganda will be mapped and classified based on their land type category. Also, the map will be compared to remote sensing imagery.
Landsat and MODIS Fusion for Disturbance Analysis in New Zealand
Author
Owsley, Braden
Institution (department)
University of Oklahoma (DGES)
Preview:
Preview not available
Abstract:
Land management is a key driver of land change in many parts of the world. Activities such as livestock farming and timber production can have a dramatic impact on the environment and are often guided by local and regional policies. Evaluation of these impacts is particularly important in a country like New Zealand, where since 1991 political boundaries have largely coincided with environmental boundaries (catchments). In this study we look at the entire north island of New Zealand and identify disturbance trends at high spatial and temporal resolution using widely available remote sensing data, with the eventual goal of analyzing the effect of land management practices on local ecosystems.
Existing remote sensing capabilities are limited in the type of analysis they allow. Free access to the entire Landsat archive provides a valuable resource for analyzing land change across large areas and extended time periods. Landsat images, at 30m spatial resolution, provide a useful tool for monitoring small changes in land cover; however, the 16-day temporal cycle, which is often lengthened considerably by cloud cover, limits the observation of short term changes that can result from disturbance events. The revisit cycle of the MODIS sensors aboard Terra and Aqua provides a surface reflectance dataset at much higher temporal resolution, yet at 500m spatial resolution, it lacks the detail necessary to accurately track small changes in the landscape. A combination of the two products offers researchers the ideal tool for disturbance analysis.
Here we utilize both Landsat TM/ETM surface reflectance data and MODIS Nadir BRDF-adjusted reflectance (NBAR) covering the north island of New Zealand (13 Landsat path/rows) for the period 2000–2012. We calculate a disturbance index for both datasets based on normalized values of the Tasseled Cap transformation and then create a fused 8-day, 30m disturbance time series. We then investigate the time series to assess the subtle changes in the landscape caused by livestock grazing and the abrupt changes brought about by plantation forestry.
