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Hydro-geomorphologic models and remote sensing in drought-prone regions: the example of the Mulargia basin in Sardinia

机译:干旱易发地区的水力 - 地貌模型和遥感:撒丁岛塑造盆地盆地的例子

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The Mulargia river basin is located in central Sardinia (Italy) and is characterized by the presence of geomorphologically active processes and human activities whose overall effect results in a environmental impact on superficial water quality, in the framework of a drought-prone region. On this subject, a large multidisciplinary project is in progress in which the elaboration of remotely sensed images constitutes an important part, allowing the seasonal land-use evolution to be understood. The presence and movement of organic materials may also be studied. These data have been combined with those derived from ground truth and ground survey campaigns concerning geology and geomorphology. Furthermore, rainfall simulations have been carried out in order to evaluate the principal parameters involved in the soil erosion processes. On these data an hydrologic model has been applied based on a DTM of the whole area, providing information on the spatial prevalence of the different erosion processes. Then, in order to reasonably assess the vegetation cover effect on landscape evolution, a set of classified data concerning the latter have been extracted from Landsat TM imagery and subsequently fed into the model. Results show a clear improvement in the model forecasting concerning soil erosion hazardous areas.
机译:Mulargia River Basin位于撒丁岛市中心(意大利),其特点是存在在地貌上活跃的过程和人类活动,其整体效果导致在干旱易于地区的骨架上对浅表水质的环境影响。在这个问题上,大型多学科项目正在进行中,其中遥感图像的制定构成重要部分,允许理解季节性土地使用的进化。还可以研究有机材料的存在和运动。这些数据与来自地质和地貌的地面真理和地面调查活动的人结合了。此外,已经进行了降雨模拟,以评估土壤侵蚀过程中涉及的主要参数。在这些数据上,基于整个区域的DTM应用了一种水文模型,提供有关不同侵蚀过程的空间患病率的信息。然后,为了合理地评估植被覆盖对景观演变的影响,已经从Landsat TM图像中提取了一组关于后者的分类数据,随后进入模型。结果表明,涉及土壤侵蚀危险区域的模型预测的清晰改善。

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