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X-WR-CALDESC:Events for Center for Geospatial Analytics
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CREATED:20260416T134347Z
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UID:10000280-1777899600-1777903200@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Rebecca Composto
DESCRIPTION:Title: Leveraging satellite imagery for urban flood mapping and damage assessment \nAdvisor: Dr. Mirela Tulbure\, faculty fellow and professor in the Department of Forestry and Environmental Resources \nAbstract: One-eighth of urban areas in the U.S. are at high risk of flooding due to human development and increasing precipitation. Flood maps of past events can help decision-makers recover from past events and prepare for future ones. Satellite imagery is a useful dataset for mapping past flood events; however\, its effectiveness and accuracy are rarely assessed in dense urban areas. This dissertation addresses this gap in urban flooding by (1) developing a satellite-based urban flood model\, (2) assessing satellite-based flood depth estimates\, and (3) calculating the correlation between satellite-based flood maps and building damage. More accurate methods for urban flood mapping will help emergency managers\, city planners\, and residents adjust to the rising risk of flooding.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-rebecca-composto/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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DTSTART;TZID=America/New_York:20260507T123000
DTEND;TZID=America/New_York:20260507T133000
DTSTAMP:20260426T035908
CREATED:20260114T220513Z
LAST-MODIFIED:20260114T220513Z
UID:10000276-1778157000-1778160600@cnr.ncsu.edu
SUMMARY:MGIST Digital Symposium
DESCRIPTION:The MGIST Digital Symposium is an opportunity for our graduating professional master’s students to present their Capstone projects to the geospatial community at NC State and beyond. This includes student peers\, alumni\, faculty and staff from across the university\, and our community and industry partners. This is a tremendous professional development and networking opportunity for our students. \nThe technology in Hunt Library will allow students to present digital posters of their Capstone projects on a large\, immersive projection screen in a social atmosphere with networking and open discussion. The event is capped off with an award to the winner of the poster competition! \nSchedule: To be announced.
URL:https://cnr.ncsu.edu/geospatial/event/mgist-digital-symposium-spring-2026/
LOCATION:Hunt Library Teaching & Visualization Lab\, 1070 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:Geospatial Forum
GEO:35.7692923;-78.6766382
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DTSTART;TZID=America/New_York:20260508T110000
DTEND;TZID=America/New_York:20260508T120000
DTSTAMP:20260426T035908
CREATED:20260417T150018Z
LAST-MODIFIED:20260417T150018Z
UID:10000281-1778238000-1778241600@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Felipe Sanchez
DESCRIPTION:Title: Geospatial distribution and dynamics of swine diseases in the United States \nAdvisors: Dr. Gustavo Machado\, faculty fellow and associate professor in the Department of Population Health and Pathobiology & Dr. Chris Jones\, faculty fellow and senior research scholar in the Center for Geospatial Analytics \nAbstract: This defense examines how geospatial modeling contributes to understanding swine disease distribution and transmission in the United States by integrating spatial epidemiology\, machine learning\, and population modeling. We first investigate the spatial and spatiotemporal dynamics of porcine reproductive and respiratory syndrome virus transmission to identify the environmental\, demographic\, and network-related factors associated with outbreak risk. We then develop a spatially explicit machine-learning framework using high-resolution aerial imagery to detect swine farms\, classify production types\, and estimate population sizes. Finally\, we use the Pest or Pathogen Spread (PoPS) model to simulate the spread of African swine fever virus under multiple movement restriction scenarios\, quantify the relative contribution of direct and indirect transmission pathways\, and evaluate how incomplete movement restrictions may undermine outbreak control efforts.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-felipe-sanchez/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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