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SUMMARY:Geospatial Analytics Dissertation Defense: Deja Perkins
DESCRIPTION:Defense Presentation Title: The Geography of Participation: A Geospatial Analysis of Socio-spatial Gaps in US Participatory Science \nAdvisor: Dr. Caren Cooper\, faculty fellow and professor in the Department of Forestry and Environmental Resources \nAbstract: Popular participatory science projects generate big data that advances scientific research\, informs natural resource management and policy\, and produces outcomes benefiting participants. Hundreds of thousands of volunteers share geo-referenced observations near their homes and frequented locations. The geographic information attached to every observation reveals patterns of participation —where and how often people collect environmental data. However\, by allowing volunteers to choose when and where to collect data\, large-scale projects can introduce spatial and temporal biases.  This dissertation assesses demographics\, place\, and location to emphasize the importance of representation for geographic evenness in data produced through volunteer monitoring. By identifying predictors of spatial gaps and barriers to participation\, this dissertation produces insights to enhance data collection\, broaden environmental knowledge\, and democratize science.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-deja-perkins/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
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SUMMARY:Geospatial Analytics Dissertation Defense: Varun Tiwari
DESCRIPTION:Defense Presentation Title: Advancing Climate-Resilient Agriculture and Disaster Management: Applications of Remote Sensing and Machine Learning in Data-Scarce Bangladesh \nAdvisor: Dr. Mirela Tulbure\, faculty fellow and professor in the Department of Forestry and Environmental Resources \nAbstract: Timely\, accurate\, and high-resolution flood maps are essential for estimating the impact of flooding on agriculture and infrastructure. In Bangladesh\, where rice is critical to food security and economic stability\, flooding has threatened rice production and livelihoods and caused economic loss. Accurate and reliable information on flooding and rice production in Bangladesh could help understand the nexus between flooding and agriculture and could be useful for mitigating those challenges. \nWhile limited studies have explored the nexus between floods and agriculture in Bangladesh\, there is often a lack of spatial consistency\, systematic validation\, and proper uncertainty quantification. Additionally\, the effectiveness and suitability of data-driven models in tackling these challenges in data-scarce regions have yet to be fully explored. \nThis dissertation leverages Earth observation data and machine learning models to (1) develop an automated framework for in-season rice area mapping\, (2) quantify and predict rice yields and trends\, and (3) quantify flooding and its impact on rice. This dissertation supports climate-resilient agriculture and disaster management\, providing critical understanding for policymakers and stakeholders in Bangladesh.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-varun-tiwari/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
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