Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zohra Lili Chabaâne"'
Autor:
Jamal Ezzahar, Abdelghani Chehbouni, Nadia Ouaadi, Mohammed Madiafi, Khabba Said, Salah Er-Raki, Ahmed Laamrani, Adnane Chakir, Zohra Lili Chabaane, Mehrez Zribi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2256-2271 (2024)
This work aims to assess the effectiveness of machine learning (ML) algorithms and semiempirical models for surface soil moisture (SSM) retrieval by exploring the Sentinel-1 backscatter and interferometric coherence data. First, three commonly used c
Externí odkaz:
https://doaj.org/article/d4b8fc80765e4678a4caa402ecb76d75
Autor:
Giuliano Ramat, Emanuele Santi, Simonetta Paloscia, Giacomo Fontanelli, Simone Pettinato, Leonardo Santurri, Najet Souissi, Emmanuel Da Ponte, Mohamed M. Abdel Wahab, Alaa A. Khalil, Yassmin H. Essa, Mohamed Ouessar, Hanen Dhaou, Abderrahman Sghaier, Amal Hachani, Zeineb Kassouk, Zohra Lili Chabaane
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTThis study focused on monitoring the water status of vegetation and soil by exploiting the synergy of optical and microwave satellite data with the aim of improving the knowledge of water cycle in cultivated lands in Egyptian Delta and Tunisi
Externí odkaz:
https://doaj.org/article/65c0d5bf7d974291b951c28b79f3fd2d
Autor:
Vetiya Dellaly, Aicha Chahbi Bellakanji, Hedia Chakroun, Sameh Saadi, Gilles Boulet, Mehrez Zribi, Zohra Lili Chabaane
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 491 (2024)
This article aims to estimate the water footprint (WF) of cereals—specifically, wheat and barley—in the Kairouan plain, located in central Tunisia. To achieve this objective, two components must be determined: actual evapotranspiration (ETa) and
Externí odkaz:
https://doaj.org/article/dd365f41fde548ef829fd6867a5d8045
Autor:
Manel Khlif, Maria José Escorihuela, Aicha Chahbi Bellakanji, Giovanni Paolini, Zohra Lili Chabaane
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4298 (2023)
This study aims to analyze the potential of different drought indices for identifying drought periods and predicting cereal yield in two semi-arid regions, Lleida in Catalonia and Kairouan in Tunisia, which have similar Mediterranean climates but dif
Externí odkaz:
https://doaj.org/article/03ac892e0f2647dd86fbad8021599f19
Autor:
Manel Khlif, Maria José Escorihuela, Aicha Chahbi Bellakanji, Giovanni Paolini, Zeineb Kassouk, Zohra Lili Chabaane
Publikováno v:
Agriculture, Vol 13, Iss 8, p 1633 (2023)
This study developed a multi-year classification model for winter cereal in a semi-arid region, the Kairouan area (Tunisia). A random forest classification model was constructed using Sentinel 2 (S2) vegetation indices for a reference agricultural se
Externí odkaz:
https://doaj.org/article/858b6ba1bec341fd9ad84b26164f74f6
Autor:
Nesrine Farhani, Julie Carreau, Zeineb Kassouk, Michel Le Page, Zohra Lili Chabaane, Gilles Boulet
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1813 (2022)
Surface water stress remote sensing indices can be very helpful to monitor the impact of drought on agro-ecosystems, and serve as early warning indicators to avoid further damages to the crop productivity. In this study, we compare indices from three
Externí odkaz:
https://doaj.org/article/fd11806607f447b5a2d4e02b6719ae5d
Autor:
Azza Gorrab, Mehrez Zribi, Nicolas Baghdadi, Bernard Mougenot, Pascal Fanise, Zohra Lili Chabaane
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10098-10116 (2015)
The aim of this paper is to propose a methodology combing multi-temporal X-band SAR images (TerraSAR-X) with continuous ground thetaprobe measurements, for the retrieval of surface soil moisture and texture at a high spatial resolution. Our analysis
Externí odkaz:
https://doaj.org/article/fe1ee40d09554d87a8e30b46cb2a257c
Autor:
Marouen Shabou, Bernard Mougenot, Zohra Lili Chabaane, Christian Walter, Gilles Boulet, Nadhira Ben Aissa, Mehrez Zribi
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 6059-6078 (2015)
Clay content (fraction < 2 µm) is one of the most important soil properties. It controls soil hydraulic properties like wilting point, field capacity and saturated hydraulic conductivity, which in turn control the various fluxes of water in the unsa
Externí odkaz:
https://doaj.org/article/ddcacecc813343f79b3f5f92355b16a0
Publikováno v:
Remote Sensing, Vol 7, Iss 1, Pp 747-766 (2015)
The aim of this paper is to analyze the potential of X-band SAR measurements (COSMO-SkyMed and TerraSAR-X) made over bare soils for the estimation of soil moisture and surface geometry parameters at a semi-arid site in Tunisia (North Africa). Radar s
Externí odkaz:
https://doaj.org/article/a343cd51b0d74da999598f4e91c714e3
Publikováno v:
Science of the Total Environment
Science of the Total Environment, Elsevier, 2018, 643, pp.346-356
Science of the Total Environment, Elsevier, 2018, 643, pp.346-356. ⟨10.1016/j.scitotenv.2018.06.086⟩
Science of the Total Environment, Elsevier, 2018, 643, pp.346-356
Science of the Total Environment, Elsevier, 2018, 643, pp.346-356. ⟨10.1016/j.scitotenv.2018.06.086⟩
ISI Document Delivery No.: GT6LZTimes Cited: 1Cited Reference Count: 80Aouissi, Jalel Benabdallah, Sihem Chabaane, Zohra Lili Cudennec, ChristopheCudennec, Christophe/A-6952-2008Cudennec, Christophe/0000-0002-1707-8926; Monique, Delabuis/0000-0001-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b3682589760fee2200ae43b0cc5261
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-01962143
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-01962143
