Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Lorenzo Vergni"'
Autor:
Lorenzo Vergni, Grazia Tosi, Jennifer Bertuzzi, Giulia Rossi, Michela Farneselli, Giacomo Tosti, Francesco Tei, Alberto Agnelli, Francesca Todisco
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3817 (2024)
The BEST (Beerkan Estimation of Soil Transfer parameters) method was used to compare the hydraulic properties of the soils in two Long-term Agroecosystem Experiments (LTAEs) located at the FIELDLAB experimental site of the University of Perugia (cent
Externí odkaz:
https://doaj.org/article/4bad8b5d3e344b8e941460def1731d4a
Autor:
Lorenzo Vergni, Francesca Todisco
Publikováno v:
Water, Vol 15, Iss 12, p 2225 (2023)
Predicting the occurrence of erosive rain events and quantifying the corresponding soil loss is extremely useful in all applications where assessing phenomenon impacts is required. These problems, addressed in the literature at different spatial and
Externí odkaz:
https://doaj.org/article/1be06a42fa2f4226975d219b8284426d
Autor:
Lorenzo Vergni, Alessandra Vinci, Francesca Todisco, Francesco Saverio Santaga, Marco Vizzari
Publikováno v:
Journal of Agricultural Engineering, Vol 52, Iss 4 (2021)
This study evaluated the effectiveness of various remote sensing (RS) data (Sentinel-1, Sentinel-2, and Landsat 8) in the early recognition of irrigated areas in a densely cultivated area of central Italy. The study was based on crop data collected o
Externí odkaz:
https://doaj.org/article/9d6b82f12f29421789bf2fa752393522
Publikováno v:
Horticulturae, Vol 8, Iss 7, p 580 (2022)
The demand for nuts has prompted the need to identify additional zones for hazelnut cultivation in Italy. There is great interest in the Abruzzo Region, in the central–eastern part of the country. The relationships between climate and environmental
Externí odkaz:
https://doaj.org/article/fc382b7f60194f68aac11db654feac8c
Publikováno v:
Water, Vol 14, Iss 13, p 2081 (2022)
Satellite observations (Copernicus Sentinell-1) can supply antecedent soil moisture data, which helps to predict thresholds triggering runoff and runoff volume. In the paper, we developed a runoff correction factor to the USLE, using rainfall and sat
Externí odkaz:
https://doaj.org/article/174746d71412435593836c1b104f78cb
Publikováno v:
Atmosphere, Vol 12, Iss 6, p 657 (2021)
The erosive capacity of precipitation depends on its intensity, volume, and duration. The rainfall erosivity factor (R) of the Universal Soil Loss Equation (USLE) requires high frequency (subhourly) data. When these are not available, R can be estima
Externí odkaz:
https://doaj.org/article/88c9ed3e8f614c2089a25c9738d72aa3
Autor:
Todisco, Lorenzo Vergni, Francesca
Publikováno v:
Water; Volume 15; Issue 12; Pages: 2225
Predicting the occurrence of erosive rain events and quantifying the corresponding soil loss is extremely useful in all applications where assessing phenomenon impacts is required. These problems, addressed in the literature at different spatial and
Publikováno v:
CATENA. 218:106542
Publikováno v:
Atmosphere, Vol 12, Iss 657, p 657 (2021)
Atmosphere
Volume 12
Issue 6
Atmosphere
Volume 12
Issue 6
The erosive capacity of precipitation depends on its intensity, volume, and duration. The rainfall erosivity factor (R) of the Universal Soil Loss Equation (USLE) requires high frequency (subhourly) data. When these are not available, R can be estima