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Travis Rameden Tipton's research focuses on landslide susceptibility and dynamics, particularly in the Greer's Ferry Lake region of Arkansas. He has investigated the efficacy of various methodologies for identifying and assessing landslides, including the Streamlined Landslide Identification Protocol (SLIP) and density analysis. His work has also explored the application of machine learning techniques, such as Random Forest, for modeling shallow landslide susceptibility. Tipton's research contributes to understanding the factors influencing landslide occurrence and to developing tools for more accurate landslide inventory creation and susceptibility mapping. He has co-authored three publications on these topics, with his most recent work published in 2025.
Metrics
- Publications: 3
Selected Publications
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A DYNAMIC APPROACH TO MODELING SHALLOW LANDSLIDES SUSCEPTIBILITY THROUGH RANDOM FOREST IN GREER'S FERRY LAKE, AR (2025)
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ASSESSING LANDSLIDE DYNAMICS: THE EFFICACY OF STREAMLINED LANDSLIDE IDENTIFICATION PROTOCOL (SLIP) AND DENSITY ANALYSIS IN GREER’S FERRY LAKE, ARKANSAS (2024)
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THE STREAMLINED LANDSLIDE IDENTIFICATION PROTOCOL (SLIP) EFFICIENCY IN CREATING LANDSLIDE INVENTORIES WITH 1-M LIDAR: CASE STUDY GREER’S FERRY LAKE, ARKANSAS (2023)
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- ASSESSING LANDSLIDE DYNAMICS: THE EFFICACY OF STREAMLINED LANDSLIDE IDENTIFICATION PROTOCOL (SLIP) AND DENSITY ANALYSIS IN GREER’S FERRY LAKE, ARKANSAS
- A DYNAMIC APPROACH TO MODELING SHALLOW LANDSLIDES SUSCEPTIBILITY THROUGH RANDOM FOREST IN GREER'S FERRY LAKE, AR
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