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REMOTE SENSING AND GIS TECHNOLOGIES AS TOOLS TO SUPPORT SUSTAINABLE MANAGEMENT OF AREAS DEVASTATED BY LANDSLIDES

机译:遥感和GIS技术作为支持滑坡地区可持续管理的工具

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IKONOS panchromatic images from a single year were used to characterise the effects of an extreme rainstorm event on six mountain catchment areas in Venezuela. Image registrations were accomplished using topographic base maps at 1 : 5000 scale giving a mapping accuracy between 37 and 40m. It was used an 8-bit channel for correction, rectification, filteration and tone enhancements. Landsliding was discerned in the affected watersheds using morphometric criteria, including the shape of the slope failure and its position, exposure bedrock in the scar and deposition of debris down-slope. This study is restricted to the impact analysis of the distribution of landslide erosion scars and the depositional processes on the valley floor. Remote sensing data were combined into a geographic information system (GIS) with planimctric data, contour lines, hydrology and vegetation types to evaluate the distribution of the scars and their effects on the highly populated areas located on the alluvial fans. Hillslope mass wasting induced mass movements, logging and increased the mud and silt in floodwaters affecting settlement down-slope.
机译:使用一年中的IKONOS全色图像来表征极端暴雨事件对委内瑞拉六个山区集水区的影响。使用地形底图以1:5000的比例完成图像配准,从而获得37至40m的制图精度。它使用8位通道进行校正,整流,滤波和音调增强。使用形态计量学标准识别受灾流域的滑坡,包括边坡破坏的形状及其位置,疤痕中暴露的基岩和下坡碎屑的沉积。本研究仅限于对滑坡侵蚀痕迹分布和谷底沉积过程的影响分析。将遥感数据与平面信息,等高线,水文和植被类型组合到地理信息系统(GIS)中,以评估疤痕的分布及其对冲积扇上人口稠密地区的影响。坡体的大量浪费导致了群众运动,伐木并增加了洪水中的泥沙和淤泥,从而影响了沉降的下坡。

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