Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Francesca Todisco"'
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:
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:
CATENA. 218:106542
In the paper, we tested and compared the potential of some standardized meteorological indices to identify agricultural drought impacts in central Italy. The indices considered are the Standardized Precipitation Index (SPI), the Standardized Precipit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7228c0b9cf53cc9b54c0b3de1c42d7b8
https://hdl.handle.net/11391/1497723
https://hdl.handle.net/11391/1497723
In the literature, numerous papers report comparative analyses of drought indices. In these types of studies, the similarity between drought indices is usually evaluated using the Pearson correlation coefficient, r, calculated between corresponding s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cdf6cfb9c7a5ba30c3b2c5fbefd87bc
http://hdl.handle.net/11391/1497722
http://hdl.handle.net/11391/1497722
Autor:
Lorenzo Vergni, Francesca Todisco
As many other natural hazards, the crop water stress has a typical multivariate nature, i.e., it is characterized by the contemporary presence of multiple characteristics correlated with each other (e.g., duration, severity, peak, areal extension, et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::378f18801a3bdb73a6b22135a62c8974
http://hdl.handle.net/11391/1532516
http://hdl.handle.net/11391/1532516
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030392987
The post-tillage dynamics of the surface soil saturated hydraulic conductivity, Ks, was studied at the Masse experimental station (central Italy, silty-clay-loam soil). A sequence of experiments was performed by rainfall simulation on two replicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::181e72f3632b6d66656648f52958cde2
https://hdl.handle.net/11391/1532514
https://hdl.handle.net/11391/1532514