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

机译:干旱多发地区的水文地貌模型和遥感:以撒丁岛的穆拉贾盆地为例

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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流域位于撒丁岛(意大利)中部,其特征是存在地貌活跃过程和人类活动,在干旱多发地区,该活动和人类活动的整体影响对表层水质产生环境影响。在这个问题上,正在进行一个大型的多学科项目,其中遥感图像的构成是重要的部分,这使得人们可以了解季节性土地用途的演变。也可以研究有机材料的存在和运动。这些数据已与从地面真实情况和有关地质和地貌的地面勘测活动中获得的数据相结合。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,已基于整个区域的DTM应用了水文模型,从而提供了有关不同侵蚀过程的空间流行程度的信息。然后,为了合理地评估植被覆盖对景观演变的影响,已从Landsat TM影像中提取了有关后者的分类数据集,然后将其输入模型中。结果表明,在有关土壤侵蚀危险区域的模型预测中,有明显的改进。

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