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Giulia Sofia

Researcher at University of Connecticut

Publications -  61
Citations -  2079

Giulia Sofia is an academic researcher from University of Connecticut. The author has contributed to research in topics: Flood myth & Erosion. The author has an hindex of 22, co-authored 57 publications receiving 1696 citations. Previous affiliations of Giulia Sofia include University of Padua.

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Human topographic signatures and derived geomorphic processes across landscapes

TL;DR: A review of the recent literature on the role of humans as a geological agent in shaping the morphology of the landscape can be found in this article, where the authors explore different contexts that are significantly characterized by anthropogenic topographic signatures: landscapes affected by mining activities, road networks and agricultural practices.
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Geomorphic features extraction from high-resolution topography: landslide crowns and bank erosion

TL;DR: In this article, the authors used a high-resolution digital terrain model (DTMs) to detect the divergence/convergence of areas related to unchannelized/channelized processes with better detail than a coarse DTM.
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Vineyards in Terraced Landscapes: New Opportunities from Lidar Data

TL;DR: In this article, the authors used lidar elevation data for a hydro-geomorphological analysis of terraced vineyards and found that terraced fields are also served by agricultural roads that can have deep effects on water flows triggering surface erosion.
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Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards.

TL;DR: High-resolution topography derived from SfM revealed to be essential in the sediment connectivity analysis and, therefore, in the estimation of eroded materials, when comparing them to those derived from the rainfall simulation methodology.
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Flood dynamics in urbanised landscapes: 100 years of climate and humans’ interaction

TL;DR: This research shows that land management and planning should include the investigation of the location of the past and future social and economic drivers for development, as well as past and current climatic trends.