Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Gabriele Baroni"'
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3384 (2024)
Monitoring soil water content (SWC) is vital for various applications, particularly in agriculture. This study compares SWC estimated by means of SCATSAR-SWI remote sensing (RS) at different depths (T-values) with Cosmic Ray Neutron Sensing (CRNS) ac
Externí odkaz:
https://doaj.org/article/fc52f089f39a4ddcb5a335f5546c6ce0
Publikováno v:
Agricultural Water Management, Vol 296, Iss , Pp 108803- (2024)
Assessing alternative agricultural water management strategies requires long-term field trials or vast data collection for model calibration and simulation.This work aims to assess whether an uncalibrated agro-hydrological model using global input da
Externí odkaz:
https://doaj.org/article/4d813829e0784cb38974e598e11e354c
Autor:
Luís Romero Barbosa, Victor Hugo R. Coelho, Lena M. Scheiffele, Gabriele Baroni, Geraldo M. Ramos Filho, Suzana M. G. L. Montenegro, Cristiano das N. Almeida, Sascha E. Oswald
Publikováno v:
Vadose Zone Journal, Vol 20, Iss 4, Pp n/a-n/a (2021)
Abstract Although cosmic‐ray neutron sensing (CRNS) is probably the most promising noninvasive proximal soil moisture measurement technique at the field scale, its application for hydrological simulations remains underexplored in the literature so
Externí odkaz:
https://doaj.org/article/90932944bf8b4bbd81e5ba6377ea9a0b
Publikováno v:
Vadose Zone Journal, Vol 19, Iss 1, Pp n/a-n/a (2020)
Abstract In recent years, cosmic‐ray neutron sensing (CRNS) has shown a large potential among proximal sensing techniques to monitor soil moisture noninvasively, with high frequency and a large support volume (radius up to 240 m and sensing depth u
Externí odkaz:
https://doaj.org/article/d5f29ca319d34920953285e326682338
Autor:
Luca Stevanato, Gabriele Baroni, Yafit Cohen, Fontana Cristiano Lino, Simone Gatto, Marcello Lunardon, Francesco Marinello, Sandra Moretto, Luca Morselli
Publikováno v:
Agriculture, Vol 9, Iss 9, p 202 (2019)
A correct soil moisture estimation is a fundamental prerequisite for many applications: agriculture, meteorological forecast, flood and drought prediction, and, in general, water accounting and management. Traditional methods typically provide point-
Externí odkaz:
https://doaj.org/article/d80daaaee3a345a899bd83682a51871f
Publikováno v:
Journal of Agricultural Engineering, Vol 41, Iss 1, Pp 33-40 (2010)
Leaf area index (LAI) is a crucial variable in the modelling of many hydrological processes. Destructive sampling of LAI is extremely time-consuming, thus not suitable for monitoring temporal/spatial variations of the variable. In the last fifty year
Externí odkaz:
https://doaj.org/article/02fd81fcd6464b7c97576a4c8e4e48fc
Root-zone soil moisture is decisive in partitioning the water fluxes at the land surface, e.g. between evapotranspiration and groundwater recharge. Field-scale estimates of these time variant recharge rates can be derived from 1D soil hydrologic mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3d5811c1eefdb1d0499aa8f6467a38
https://doi.org/10.5194/egusphere-egu23-15330
https://doi.org/10.5194/egusphere-egu23-15330
Autor:
Sascha E. Oswald, Sebastian Rothermel, Gabriele Baroni, Anna Balenzano, Henrik Kjeldsen, Martin Schrön, Miroslav Zboril
One of the key environmental variables and essential climate variable is soil moisture, with its high relevance for applications such as agriculture, forestry, water management including hydrometeorological extreme events or hydrological modelling. Y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2f2b7e514fdb31adc87580ed243d39
https://doi.org/10.5194/egusphere-gc8-hydro-73
https://doi.org/10.5194/egusphere-gc8-hydro-73
Autor:
Gabriele Baroni, Stefano Gianessi, Riccardo Mazzoleni, Cinzia Alessandrini, Claudio Gandolfi, Orietta Cazzuli, Francesca Ragazzi, Stefano Ferraris, Davide Canone, Christian Ronchi, Roberto Cremonini, Secondo Barbero
Over the last decades, several new observation systems have been developed, tested, and implemented in dedicated experimental sites by research groups in many countries all around the World. The data collected at these high-level test sites have boos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d6a60da2abdaa9fb340cfa8649dd79
https://doi.org/10.5194/egusphere-gc8-hydro-36
https://doi.org/10.5194/egusphere-gc8-hydro-36
Autor:
Guido D'Urso, Oscar Rosario Belfiore, Antonio Coppola, Alessandro Comegna, Attilio Toscano, Gabriele Baroni, Simona Consoli, Daniela Vanella, Giuseppe Longo Minnolo, Matteo Ippolito, Dario De Caro, Alessandro Castagna, Claudio Gandolfi
Agriculture is the main source of pressure on water resources, so accurate estimates of irrigation demands play a key role in sustainable water management. The INCIPIT (INtegrated Computer modeling and monitoring for Irrigation Planning in Italy) pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ee8c5684304636367f5e5b7af5af35
https://doi.org/10.5194/egusphere-gc8-hydro-60
https://doi.org/10.5194/egusphere-gc8-hydro-60