Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ghizlane Aouade"'
Autor:
Jamal Ezzahar, Nadia Ouaadi, Mehrez Zribi, Jamal Elfarkh, Ghizlane Aouade, Said Khabba, Salah Er-Raki, Abdelghani Chehbouni, Lionel Jarlan
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 72 (2019)
The main objective of this work was to retrieve surface soil moisture (SSM) by using scattering models and a support vector machine (SVM) technique driven by backscattering coefficients obtained from Sentinel-1 satellite images acquired over bare agr
Externí odkaz:
https://doaj.org/article/0194cdad829f45a4a7ab1aa5da5500f9
Autor:
Ghizlane Aouade, Lionel Jarlan, Jamal Ezzahar, Salah Er-raki, Adrien Napoly, Abdelfattah Benkaddour, Said Khabba, Gilles Boulet, Sébastien Garrigues, Abdelghani Chehbouni, Aaron Boone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a14ea05db7c9d41f27485982092a18f1
https://doi.org/10.5194/hess-2019-532-supplement
https://doi.org/10.5194/hess-2019-532-supplement
Autor:
Nadia Ouaadi, Ghizlane Aouade, Mehrez Zribi, Salah Er-Raki, Said Khabba, Lionel Jarlan, Jamal Elfarkh, Abdelghani Chehbouni, Jamal Ezzahar
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2020, 12 (1), pp.72. ⟨10.3390/rs12010072⟩
Remote Sensing, 2020, 12 (1), pp.72. ⟨10.3390/rs12010072⟩
Remote Sensing; Volume 12; Issue 1; Pages: 72
Remote Sensing, Vol 12, Iss 1, p 72 (2019)
Remote Sensing, MDPI, 2020, 12 (1), pp.72. ⟨10.3390/rs12010072⟩
Remote Sensing, 2020, 12 (1), pp.72. ⟨10.3390/rs12010072⟩
Remote Sensing; Volume 12; Issue 1; Pages: 72
Remote Sensing, Vol 12, Iss 1, p 72 (2019)
The main objective of this work was to retrieve surface soil moisture (SSM) by using scattering models and a support vector machine (SVM) technique driven by backscattering coefficients obtained from Sentinel-1 satellite images acquired over bare agr
Autor:
Said Khabba, Jamal Ezzahar, Lionel Jarlan, Ghizlane Aouade, Salah Er-Raki, Abdelfattah Benkaddour, N. Amenzou
A good knowledge of the partitioning of evapotranspiration (ET) is particularly important for improving crop water productivity, especially in semi-arid regions where irrigated agriculture uses up to 85% of total available water. In this paper, stabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de9905d8e788b1f8d865567ca31be678
http://www.documentation.ird.fr/hor/fdi:010068242
http://www.documentation.ird.fr/hor/fdi:010068242
Autor:
Mohamed Kasbani, A. Tavernier, K. Boukhari, N. Amenzou, Alhousseine Diarra, Hassan Ibouh, Y. Hajhouji, A. Mokssit, Lionel Jarlan, A. Chakir, M. El Faïz, M. El Adnani, H. Marah, Bernard Mougenot, Vincent Simonneaux, M. H. Kharrou, Benoît Coudert, A. Abourida, Abdelfattah Benkaddour, A. El Mandour, Brahim Berjamy, Fatima Driouech, F. Raibi, Jonas Chirouze, Lahoucine Hanich, V. Le Dantec, Jamal Ezzahar, Bastien Richard, N. Filali, Amina Saaidi, Mehrez Zribi, Abdelghani Boudhar, Ghizlane Aouade, Olivier Merlin, Guillaume Bigeard, Younes Fakir, Jihad Toumi, Olivier Hagolle, Yves Tramblay, Pascal Fanise, Florence Habets, Gilles Boulet, Ahmed Marchane, A. El Fazziki, Nour-Eddine Laftouhi, Salwa Belaqziz, Camille Szczypta, M. Le Page, R. Escadafal, Laurent Drapeau, Yann Kerr, Marc Leblanc, H. Nassah, J. Abaoui, Simon Gascoin, Said Khabba, A. Naimi, Sylvain Mangiarotti, Salah Er-Raki
Publikováno v:
International Journal of Remote Sensing
International Journal of Remote Sensing, Taylor & Francis, 2015, 36 (19-20), pp.4879-4917. ⟨10.1080/01431161.2015.1093198⟩
International Journal of Remote Sensing, Taylor & Francis, 2015, ⟨10.1080/01431161.2015.1093198⟩
International Journal of Remote Sensing, Taylor & Francis, 2015, 36 (19-20), pp.4879-4917. ⟨10.1080/01431161.2015.1093198⟩
International Journal of Remote Sensing, Taylor & Francis, 2015, ⟨10.1080/01431161.2015.1093198⟩
Monitoring of water resources and a better understanding of the eco-hydrological processes governing their dynamics are necessary to anticipate and develop measures to adapt to climate and water-use changes. Focusing on this aim, a research project c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f244538a32ec027e1a5c81d6d88862b0
http://www.documentation.ird.fr/hor/fdi:010065451
http://www.documentation.ird.fr/hor/fdi:010065451
Autor:
Said Khabba, Olivier Merlin, A. Tavernier, Alhousseine Diarra, Ghizlane Aouade, Lionel Jarlan, Salah Er-Raki, M. Le Page, Jamal Ezzahar, Gilles Boulet
Publikováno v:
Agricultural Water Management
The main objective of this study was to evaluate the performance and the domain of validity of the two-source energy balance model (TSEB) for the monitoring of actual evapotranspiration ( ET a ) as a first step towards its use for irrigation planning