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Red Relief Image Maps of the Ruinon Landslide, Northern Italy (2021-2022)

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Zenodo2023-01-27 更新2026-05-26 收录
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Red Relief Image Maps of the Ruinon Landslide, Northern Italy. The maps are from UAV surveys carried out above the landslide on the following dates: 06 July 2021 29 October 2021 02 May 2022 05 July 2022 05 October 2022 29 October 2022 The maps are in WGS 84/ UTM zone 32N (EPSG:32632). They <strong>are not finely</strong> co-registered. The map production process details are discussed in <em>Yordanov, V.; Truong, Q.X.; Brovelli, M.A. Estimating Landslide Surface Displacement by Combining Low-Cost UAV Setup, Topographic Visualization and Computer Vision Techniques. Drones <strong>2023</strong>, 7, 85. https://doi.org/10.3390/drones7020085 </em> The maps are produced as part of the "Geoinformatics and Earth Observation for Landslide Monitoring" Italy-Vietnam. The work is partially funded by the Italian Ministry of Foreign Affairs and International Cooperation within the project “Geoinformatics and Earth Observation for Landslide Monitoring” CUP D19C21000480001 (Italian side) and partially funded by the Ministry of Science and Technology of Vietnam (MOST) (Vietnamese side) by the Bilateral Scientific Research project between Vietnam and Italy, code: NÐT/IT/21/14

意大利北部鲁伊农(Ruinon)滑坡红色晕渲影像图。该系列影像基于2021年7月6日、2021年10月29日、2022年5月2日、2022年7月5日、2022年10月5日及2022年10月29日在滑坡区域上空开展的无人机(Unmanned Aerial Vehicle, UAV)航测数据制作。影像采用WGS 84/UTM 32N坐标系(EPSG:32632)。本系列影像未进行精细配准。影像制作流程的详细说明参见论文:Yordanov, V.; Truong, Q.X.; Brovelli, M.A. 结合低成本无人机平台、地形可视化与计算机视觉技术估算滑坡地表位移. 《无人机》(Drones) 2023, 7, 85. https://doi.org/10.3390/drones7020085。本系列影像是"Geoinformatics and Earth Observation for Landslide Monitoring"意越合作项目的产出成果。本项目由意大利外交部与国际合作署资助(意方项目名称为"Geoinformatics and Earth Observation for Landslide Monitoring",CUP编号D19C21000480001),同时获越南科学与技术部(Ministry of Science and Technology of Vietnam, MOST)资助,作为越意双边科研项目(项目编号:NÐT/IT/21/14)的组成部分。

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2023-01-27
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