Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ihab Jomaa"'
Autor:
Radoslaw Guzinski, Héctor Nieto, Rubén Ramo Sánchez, Juan Manuel Sánchez, Ihab Jomaa, Rim Zitouna-Chebbi, Olivier Roupsard, Ramón López-Urrea
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103587- (2023)
One of the primary applications of satellite Land Surface Temperature (LST) observations lies in their utilization for modeling of actual evapotranspiration (ET) in agricultural crops, with the primary goals of monitoring and enhancing irrigation pra
Externí odkaz:
https://doaj.org/article/ef62d336e7744d1082fe7d808c408164
Autor:
Alicia Lopez-Guerrero, Arantxa Cabello-Leblic, Elias Fereres, Domitille Vallee, Pasquale Steduto, Ihab Jomaa, Osama Owaneh, Itidel Alaya, Mahmoud Bsharat, Ayman Ibrahim, Kettani Abla, Alaa Mosad, Abdallah Omari, Rim Zitouna-Chebbi, Jose A. Jimenez-Berni
Publikováno v:
Agronomy, Vol 13, Iss 11, p 2756 (2023)
Determining evapotranspiration (ET) is essential for water accounting and for the management of irrigated agriculture from farm to region. We describe here a collaborative initiative aimed at establishing a prototype ET network in six countries of No
Externí odkaz:
https://doaj.org/article/330a861c242647c696bd70c094882076
Autor:
Marie Therese Abi Saab, Ihab Jomaa, Rima El Hage, Sleiman Skaf, Salim Fahed, Ziad Rizk, Randa Massaad, Dany Romanos, Yara Khairallah, Valerie Azzi, Rhend Sleiman, Roula Abi Saad, Celine Hajjar, Mohamed Houssemeddine Sellami, Rodolph Aziz, Rita Sfeir, Marie Helene Nassif, Javier Mateo-Sagasta
Publikováno v:
Water, Vol 14, Iss 9, p 1437 (2022)
The use of polluted water to irrigate is an increasing problem in the developing world. Lebanon is a case in point, with heavily polluted irrigation waters, particularly in the Litani River Basin. This study evaluated the potential health risks of ir
Externí odkaz:
https://doaj.org/article/37e078fcdc76485c88759d79110f6ad1
Autor:
Marie Therese Abi Saab, Razane El Alam, Ihab Jomaa, Sleiman Skaf, Salim Fahed, Rossella Albrizio, Mladen Todorovic
Publikováno v:
Agronomy, Vol 11, Iss 11, p 2265 (2021)
The coupling of remote sensing technology and crop growth models represents a promising approach to support crop yield prediction and irrigation management. In this study, five vegetation indices were derived from the Copernicus-Sentinel 2 satellite
Externí odkaz:
https://doaj.org/article/69c2272a3f2e4108a073db6d04013173
Autor:
Marie Therese Abi Saab, Mohamed Houssemeddine Sellami, Pasquale Giorio, Angelo Basile, Antonello Bonfante, Youssef Rouphael, Salim Fahed, Ihab Jomaa, Chafic Stephan, Rabih Kabalan, Randa Massaad, Mladen Todorovic, Rossella Albrizio
Publikováno v:
Agronomy, Vol 9, Iss 7, p 393 (2019)
Variable rainfall, water stress, and spring frost are the main challenges for cereal growers in the Mediterranean region. The potential of wheat and barley to adapt to contrasting weather conditions was investigated through the adoption of no-till, s
Externí odkaz:
https://doaj.org/article/336f77ba02d5454db9466a1dcf0fcc2b
Publikováno v:
Water, Vol 11, Iss 2, p 252 (2019)
The suitability of cloud-based irrigation technologies remains questionable due to limited information on their evaluation in the field. This study focussed on the on-field assessment of a smartphone irrigation scheduling tool—Bluleaf®—with resp
Externí odkaz:
https://doaj.org/article/378ea003355745b3bf08cbf31b752c99
Autor:
Nagham Tabaja, David Amouroux, Lamis Chalak, François Fourel, Emmanuel Tessier, Ihab Jomaa, Milad El Riachy, Ilham Bentaleb
Publikováno v:
Biogeosciences
Biogeosciences, 2023, 20, pp.619-633. ⟨10.5194/bg-20-619-2023⟩
eISSN
Biogeosciences, 2023, 20, pp.619-633. ⟨10.5194/bg-20-619-2023⟩
eISSN
This study investigates the seasonality of the mercury (Hg) concentration of olive tree foliage, an iconic tree of the Mediterranean basin. Hg concentrations of foliage, stems, soil surface, and litter were analyzed on a monthly basis in ancient oliv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cdf5bb46267178ee268914786376c23
https://doi.org/10.5194/egusphere-2022-174
https://doi.org/10.5194/egusphere-2022-174
Autor:
Nagham Tabaja, David Amouroux, Lamis Chalak, François Fourel, Emmanuel Tessier, Ihab Jomaa, Milad El Riachy, Ilham Bentaleb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f71ca2bbce4cd054ff5af141d0b8db
https://doi.org/10.5194/egusphere-2022-174-supplement
https://doi.org/10.5194/egusphere-2022-174-supplement
Publikováno v:
International Journal of River Basin Management. 21:37-51
Although Lebanon has the highest mean annual rainfall of all Middle Eastern countries, it is affected by water stress, negatively impacting agricultural food production, energy generation, and publ...
Autor:
Razane El Alam, Mladen Todorovic, Marie Therese Abi Saab, Ihab Jomaa, Salim Fahed, Sleiman Skaf, Rossella Albrizio
Publikováno v:
Agronomy, Vol 11, Iss 2265, p 2265 (2021)
Agronomy
Volume 11
Issue 11
Agronomy (Basel) 11 (2021). doi:10.3390/agronomy11112265
info:cnr-pdr/source/autori:Abi Saab M.T.; El Alam R.; Jomaa I.; Skaf S.; Fahed S.; Albrizio R.; Todorovic M./titolo:Coupling remote sensing data and aquacrop model for simulation of winter wheat growth under rainfed and irrigated conditions in a mediterranean environment/doi:10.3390%2Fagronomy11112265/rivista:Agronomy (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Agronomy
Volume 11
Issue 11
Agronomy (Basel) 11 (2021). doi:10.3390/agronomy11112265
info:cnr-pdr/source/autori:Abi Saab M.T.; El Alam R.; Jomaa I.; Skaf S.; Fahed S.; Albrizio R.; Todorovic M./titolo:Coupling remote sensing data and aquacrop model for simulation of winter wheat growth under rainfed and irrigated conditions in a mediterranean environment/doi:10.3390%2Fagronomy11112265/rivista:Agronomy (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
The coupling of remote sensing technology and crop growth models represents a promising approach to support crop yield prediction and irrigation management. In this study, five vegetation indices were derived from the Copernicus-Sentinel 2 satellite