TO
Member Since 2005
Thomas Oommen
Professor and Chair, University of Mississippi Main Campus
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Enhanced Flood Mapping from SAR Imagery: Integrating Traditional Thresholding and DEM in Earth Engine
RECENT ADVANCES IN REMOTE SENSING AND MODELING OF FLOOD INUNDATION III POSTER
hydrology | 13 december 2024
Navin Tony Thalakkottukara, Jobin Thomas, Thomas O...
Flooding is one of the major geohazards, causing substantial economic damage and loss of life. Reliable estimates of flood inundation extent and depth...
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Investigation of Changes in Extreme Rainfall Characteristics in the US Great Lakes Region Amid Climate Warming and Its Impact on Flood Risk
CHANGING CLIMATE: ASSOCIATED NATURAL HAZARDS AND IMPACTS I POSTER
natural hazards | 11 december 2024
Jobin Thomas, Miraj B. Kayastha, Thomas Oommen, Pe...
The Great Lakes Region of the United States is a critical ecoregion supporting the largest freshwater system in the world. Over recent decades, the re...
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Identification of Soil Texture Utilizing Soil Spectra and Machine Learning
ADVANCEMENTS IN REMOTE SENSING AND ARTIFICIAL INTELLIGENCE FOR SOIL HEALTH MONITORING AND CLIMATE-SMART AGRICULTURE I POSTER
global environmental change | 10 december 2024
Anush Kumar Kasaragod, Jobin Thomas, Thomas Oommen...
The variability of soil texture, a pivotal soil physical property, has implications in many scientific and engineering applications, including but not...
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Effectiveness of Utilizing Satellite Hyperspectral Data, Machine Learning and International Soil Moisture Network for Soil Moisture Prediction
REMOTE SENSING OF SOIL PROCESSES POSTER
hydrology | 14 december 2023
Anush Kumar Kasaragod, Thomas Oommen, Sidike Pahed...
Soil moisture is an important parameter for a wide variety of applications. Terrain characterization for off road mobility is one such application pri...
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Machine Learning Techniques to Delineate Flooding from Radar Imageries
RECENT ADVANCES IN REMOTE SENSING AND MODELING OF FLOOD INUNDATION I POSTER
hydrology | 13 december 2023
Navin Tony Thalakkottukara, Thomas Oommen
Machine learning (ML) is a fast-growing and widely used technique in almost all aspects of the science field. These techniques help to find hidden pat...
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Satellite-Derived Soil Saturation Provides Clues on Potential Embankment Failure: Insights from Edenville Dam (Michigan) Failure Analysis
EARTH OBSERVATIONS FOR MONITORING AND ASSESSMENT OF RISK AND RESILIENCE OF COMMUNITIES AND INFRASTRUCTURE II POSTER
natural hazards | 13 december 2023
Jobin Thomas, Ryan Klida, Thomas Oommen, Sajinkuma...
The Edenville Dam, an earthen embankment in Midland, Michigan, USA failed on 19 May 2020, triggered by three days of heavy rainfall (3.83 inches) resu...
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Characterizing Debris Flow Run-out and Path Selection in Landslide-Susceptible Zones using RAMMS Simulation
BREAKING BARRIERS IN SEDIMENT TRANSPORT RESEARCH ACROSS SCIENCE AND ENGINEERING III ORAL
earth and planetary surface processes | 11 december 2023
Thomas Oommen, RAJANEESH A, Sajinkumar K.S., Nikhi...
Debris flows, resulting from the downslope movement of earth materials under gravity, can significantly impact human populations and infrastructure, l...
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Multi-resolution Multi-sensor Fusion of Remote Sensing Data to investigate Rock Slope Instabilities
APPLICATIONS OF AI/ML USING REMOTE SENSING, SOCIAL SENSING, AND MODEL DATA TO STUDY HAZARD I ORAL
natural hazards | 15 december 2022
Marta Zocchi, Anush Kumar Kasaragod, Thomas Oommen...
The detailed characterization of rock slopes along highway corridors affected by slope instabilities is vital for mitigation design and hazard reducti...
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