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IMAGE-BASED TECHNIQUES: THE FUTURE






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    Meeting
    Poster: GPR based root and SOC imaging
    Global Symposium on Soil Organic Carbon, Rome, Italy, 21-23 March 2017
    2017
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    LIDAR image–based fuel construction in a computational fluid dynamics simulation domain
    XV World Forestry Congress, 2-6 May 2022
    2022
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    LiDAR image-based vegetation fuel construction in a computational fluid dynamic (CFD) simulation domain was investigated. Using LiDAR images to convey fuel information to CFD would improve the accuracy of wildfire spread prediction. The obtained vegetation information using LiDAR appears as point signals in LiDAR images, and the point signals were dispatched to nodes using the K-D tree algorithm. Then, each node is transferred to the meshing algorithm along with the number of signals and location information. In a CFD domain, 3-dimension vegetation fuel information is reconstructed, and fuel mass is estimated by using the number of signals within each mesh. It appears that utilizing LiDAR images to obtain fuel information improves the accuracy in fuel shapes and mass distribution compared to the conventional way that assigns pre-determined shape and mass distribution for each vegetation. It is expected that the outcomes of this research would improve the liability of CFD-based wildfire prediction. Keywords: Sustainable forest management, Research, Climate change ID: 3617419
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    Document
    Analyzing the occurrence trend of sediment-related disasters and post-disaster recovery cases in mountain regions in North Korea based on a literature review and satellite image observations
    XV World Forestry Congress, 2-6 May 2022
    2022
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    This study investigated spatiotemporal trends of sediment-related disasters in North Korea from 1960 to 2019 and post-disaster recovery cases based on a literature review and satellite images. Results showed that occurrence status of sediment-related disasters was initially externally reported in 1995 (during the Kim Jongil era); their main triggering factor was heavy summer rainfall. Furthermore, forest degradation rate was positively correlated with population density (R2 = 0.4347, p = 0.02) and occurrence number of sediment-related disasters was relatively high on the west coast region, where both variables showed high values. This indicates that human activity was a major cause of forest degradation and thus, significantly affected sediment-related disasters in mountain regions. Finally, sediment- related disasters due to shallow landslides, debris flow, and slow-moving landslides were observed in undisturbed forest regions and human-impacted forest regions, including terraced fields, opencast mines, forest roads, and post-wildfire areas, via satellite image analysis. These disaster-hit areas remained mostly abandoned without any recovery works, whereas hillside erosion control work (e.g., treeplanting with terracing) or torrent erosion control work (e.g., check dam, debris flow guide bank) were implemented in certain areas. These findings can provide reference information to expand inter-Korean exchange and cooperation in forest rehabilitation and erosion control works of North Korea. Keywords: Climate change, Deforestation and forest degradation, Sustainable forest management, Monitoring and data collection, Research ID: 3616353

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