Davide Canone
University of Turin
32 Papers
127 Citations
Davide Canone is an academic researcher from University of Turin. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 9, co-authored 17 publications.
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Papers
Estimation of Surface Characteristics Using GNSS LH-Reflected Signals: Land Versus Water
TL;DR: The feasibility of obtaining surface characteristics from the power ratio of left-hand (LH) reflected signal-to-noise ratio (SNR) over direct right- hand (RH) overDirect right-hand(RH) is investigated and shows good correlation with the types of underlying terrain.
Hillslope Vineyard Rainfall-Runoff Measurements in Relation to Soil Infiltration and Water Content
Marcella Biddoccu,Marcella Biddoccu,Stefano Ferraris,Eugenio Cavallo,Francesca Opsi,Maurizio Previati,Davide Canone +6 more
TL;DR: In this article, a long time series of rainfall-runoff data measured by the IMAMOTER-CNR-Torino was analyzed in order to quantify the soil management effects in the Regione Piemonte experimental vineyards “Tenuta Cannona”.
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Soil water dynamics at a midlatitude test site: Field measurements and box modeling approaches
Mara Baudena,Ivan Bevilacqua,Davide Canone,Stefano Ferraris,Maurizio Previati,Antonello Provenzale +5 more
TL;DR: In this article, the authors test the ability of three box models (Milly, 1993, Kim et al., 1996, Laio et al. 2001b) to describe soil moisture dynamics in a regularly monitored experimental site in northwestern Italy.
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Evaluation of soil water storage efficiency for rainfall harvesting on hillslope micro-basins built using time domain reflectometry measurements.
TL;DR: The results of an experimental survey for the comparison of soil water content for both inside and outside the micro-basins are analyzed in this paper, where the time domain reflectometry technique is used to measure soil moisture in 15 sets of soil profiles (inside and outside) at three different depths.
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Interpretation of water retention field measurements in relation to hysteresis phenomena
TL;DR: In this article, the authors used a hysteresis model to interpret water retention field data in the same data set, and showed that consistent and reliable estimates of soil retention parameters can be obtained.
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