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Storm damage in the Black Forest caused by the winter storm 'Lothar' – Part 1: Airborne damage assessment

机译:冬季风暴“Lothar”造成的黑森林风暴损伤 - 第1部分:空中损伤评估

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An airborne survey of the Black Forest as affected by the winter storm "Lothar" in 1999 is performed by means of a color line scanner (CLS) with a CCD sensor, whose data in a visible and a near-infrared channel provide the Normalized Difference Vegetation Index (NDVI) as a measure of the damage in previously intact forest areas. The camera data, height data from a digital evelation model (DEM), land use information, and soil data are georeferenced and processed in a geographic information system (GIS) to derive relationship of the damage pattern to the characteristics of the local orography and soil types. The data cover an area of 4900 km2, 2767 km2 of which were forested. The 363 detected storm damage areas with a minimum detection size of 1.5 ha amount to 0.8% of the total forest area. Visual inspections at certain sites prove that none of the larger damage areas are missed, but areas smaller than 1.5 ha cause the total damage area to be up to twice our result, i.e. ≈1.6% of the forest area. More than 50% of the detected damaged areas are smaller than 5 ha and most of them have a size ranging from 1.5 to 3.5 ha. Forests on slopes with an inclination angle between 10 and 15 degrees show the highest fraction of damaged forest, doubling those on plains and below 5 degrees inclination angle. Forests on northwestern slopes are more affected than those on southwestern and western slopes, which faced the wind during highest wind speed occurrence. In contrast to other studies, this paper shows, that in steep areas, lee slopes are more damaged than the luv slopes. As expected, wet to moist soils represent an unstable location for the trees. But also medium-dry to dry locations that were considered to be relatively stable exhibited a highly damaged forest fraction. This can be attributed to mostly saturated soil from previous rain.
机译:由1999年受到冬季风暴“Lothar”影响的黑森林的空气传播调查是通过带有CCD传感器的彩色线扫描仪(CLS)进行的,其数据在可见和近红外频道中提供归一化差异植被指数(NDVI)作为衡量先前完整的森林地区损坏的衡量标准。相机数据,来自数字evelation模型(DEM)的高度数据(DEM),土地利用信息和土壤数据是在地理信息系统(GIS)中加工的,以导出损伤模式与局部地形和土壤特性的关系类型。数据占地面积4900平方公里,其中2767 km2是森林的。 363检测到最小检测尺寸为1.5公顷的风暴损伤区域,占森林总面积的0.8%。某些网站的目视检查证明没有较大的损坏区域都未被遗漏,但小于1.5公顷的区域导致总损伤区域达到我们的结果,即森林区域的≈1.6%。 50多个检测到的受损区域小于5公顷,大部分的大小为1.5到3.5公顷。倾斜角度在10到15度之间的斜坡上的森林显示出损坏的森林的最高一部分,平原上的损坏和低于5度倾斜角度。西北坡上的森林比西南和西部斜坡更受影响,这在最高风速发生时面临风。与其他研究相比,本文表明,在陡峭的区域,李斜面比LUV斜坡更损坏。正如预期的那样,潮湿的土壤代表树木的不稳定位置。但也是中等干燥的干燥地点被认为是相对稳定的,表现出极高受损的森林级分。这可以归因于前雨的大多数饱和土壤。

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