المقالات

تتوافق المراجع المكتوبة بالخط العريض مع التأليفات المشتركة بين الشمال والجنوب

  1. Ayari, E., Kassouk, Z., Lili-Chabaane, Z., Baghdadi, N., & Zribi, M. (2022). Investigation of Multi-Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model. Sensors, 22(2), 580. DOI
  2. Bonsoms, J., & Boulet, G. (2022). Ensemble Machine Learning Outperforms Empirical Equations for the Ground Heat Flux Estimation with Remote Sensing Data. Remote Sensing14(8), 1788. DOI 
  3. Chargui, S., Lachaal, F., Ben Khelifa, W., & Slimani, M. (2022). Trends in seasonal and monthly rainfall for semi-arid Merguellil basin, central  Tunisia. Meteorology and Atmospheric Physics134(1), 1-12.DOI
  4. Farhani, N., Carreau, J., Kassouk, Z., Le Page, M., Lili Chabaane, Z., & Boulet, G. (2022). Analysis of Multispectral Drought Indices in Central Tunisia. Remote Sensing, 14(8), 1813. DOI
  5. Gasmi, A., Gomez, C., Chehbouni, A., Dhiba, D., & Elfil, H. (2022). Satellite Multi-Sensor Data Fusion for Soil Clay Mapping Based on the Spectral Index and Spectral Bands Approaches. Remote Sensing14(5), 1103. DOI
  6. Gomez, C., Aboubacar, M. S., Ienco, D., Feurer, D., Jenhaoui, Z., Rafla, A.,  Bailly, J. S. (2022). Sentinel-2 images to assess soil surface characteristics over a rainfed Mediterranean cropping system. Catena, 213, 106152. DOI
  7. Gomez, C., Chevallier, T., Moulin, P., Arrouays, D., & Barthès, B. G. (2022). Using carbonate absorbance peak to select the most suitable regression model before predicting soil inorganic carbon concentration by mid-infrared reflectance spectroscopy. Geoderma405, 115403. DOI 
  8. Bahri, H., Raclot, D., Barbouchi, M., Lagacherie, P., & Annabi, M. (2022). Mapping soil organic carbon stocks in Tunisian topsoils. Geoderma Regional30, e00561. DOI
  9. Mahjoub, O., Mauffret, A., Michel, C., & Chmingui, W. (2022). Use of groundwater and reclaimed water for agricultural irrigation: Farmers’ practices and attitudes and related environmental and health risks. Chemosphere295, 133945. DOI
  10. Massuel, S., Feurer, D., El Maaoui, M. A., & Calvez, R. (2022). Deriving bathymetries from unmanned aerial vehicles: a case study of a small intermittent reservoir. Hydrological Sciences Journal67(1), 82-93. DOI
  11. Mwangi S, Boulet G, Olioso A,  Assessment of an extended SPARSE model for estimatingevapotranspiration from directional thermal infrared data, Agricultural and Forest Meteorology 317 (2022) 108882 DOI
  12. Pastor A.V., Nunes J.P., Ciampalini R., Bahri H., Annabi M., Chikhaoui M., Crabit A., Follain S., Keizer J.J., Latron J., Licciardello F., Marien L., Mekki I., Moreno de las Heras M., Molina A.J., Naimi M., Valente S., Raclot D. (2022). ScenaLand: a simple methodology for developing land use and management scenarios for erosion mitigation under global change”. Mitigation and Adaptation Strategies for Global Change, 27-32. DOI.
  13. Pastor A.V., Nunes J.P., Ciampalini R., Bahri H., Annabi M., Chikhaoui M., Crabit A., Follain S., Keizer J.J., Latron J., Licciardello F., Marien L., Mekki I., Moreno de las Heras M., Molina A.J., Naimi M., Valente S., Raclot D. (2022). ScenaLand: a simple methodology for developing land use and management scenarios for erosion mitigation under global change”. Mitigation and Adaptation Strategies for Global Change, 27-32.DOI.
  14. Vidal, T.H., Gamet, P., Olioso, A. and Jacob, F., 2022. Optimizing TRISHNA TIR channels configuration for improved land surface temperature and emissivity measurements. Remote Sensing of Environment, 272, p.112939. DOI
  15. Voltz, M., Guibaud, G., Dagès, C., Douzals, J.P., Guibal, R., Grimbuhler, S., Grünberger, O., Lissalde, S., Mazella, N., Samouëlian, A. and Simon, S., 2022. Pesticide and agro-ecological transition: assessing the environmental and human impacts of pesticides and limiting their use. Environmental Science and Pollution Research29(1), pp.1-5.DOI
  16. Zarai, B., Walter, C., Michot, D., Montoroi, J. P., & Hachicha, M. (2022). Integrating multiple electromagnetic data to map spatiotemporal variability of soil salinity in Kairouan region, Central Tunisia. Journal of Arid Land14(2), 186-202. DOI
  1. Arfa, L., & Elloumi, M. (2021). La filière tomate de transformation à Haouaria en Tunisie: prédominance de la forme industrielle déterritorialisée. Cahiers Agricultures30, 31. DOI.
  2. Ayari, E., Kassouk, Z., Lili-Chabaane, Z., Baghdadi, N., Bousbih, S., & Zribi, M. (2021, September). ALOS-2 and Sentinel-1 use for retrieving soil moisture over cereal fields in semi-arid area: the Kairouan plain–central Tunisia. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII(Vol. 11856, pp. 224-233). SPIE. DOI
  3. Biarnès, A., Bailly, J. S., Mekki, I., & Ferchichi, I. (2021). Land use mosaics in Mediterranean rainfed agricultural areas as an indicator of collective crop successions: Insights from a land use time series study conducted in Cap Bon, Tunisia. Agricultural Systems194, 103281. DOI
  4. Cécile Gomez, Tiphaine Chevallier, Patricia Moulin, Dominique Arrouays, Bernard G. Barthès, Using carbonate absorbance peak to select the most suitable regression model before predicting soil inorganic carbon concentration by mid-infrared reflectance spectroscopy, Geoderma,Volume 405,2022,115403,ISSN 0016-7061, DOI
  5. Gasmi, A., Gomez, C., Lagacherie, P., Zouari, H., Laamrani, A. and Chehbouni, A., 2021. Mean spectral reflectance from bare soil pixels along a Landsat-TM time series to increase both the prediction accuracy of soil clay content and mapping coverage. Geoderma388, p.114864. DOI
  6. Guzinski, R., Nieto, H., Boulet, G., Boujnah, D., & Koetz, B. (2021, July). Assessing Utility of Copernicus-Based Evapotranspiration Maps for National Monitoring of Field-Scale Water Use. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 6587-6590). IEEE. DOI
  7. Guzinski, R., Nieto, H., Sánchez, J. M., López-Urrea, R., Boujnah, D. M., & Boulet, G. (2021). Utility of Copernicus-based inputs for actual evapotranspiration modeling in support of sustainable water use in agriculture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14, 11466-11484.  DOI
  8. Jacob, F., Vidal, T.H., Lesaignoux, A., Olioso, A., Weiss, M., Nerry, F., Jacquemoud, S., Gamet, P., Caillault, K., Labarre, L. and French, A., 2021. A Simulation-Based Error Budget of the TES Method for the Design of the Spectral Configuration of the Micro-Bolometer-Based MISTIGRI Thermal Infrared Sensor. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-19.DOI
  9. Jeanne, R., Sylvain, M., & Hamza, J. (2021). Looking for more groundwater. From the exploitation of the Bou Hafna aquifer (1895–present) to Franco-Tunisian hydrogeology. Water History13(3), 407-425. DOI
  10. Khelifa, W. B., Strohmeier, S., Benabdallah, S., & Habaieb, H. (2021). Modelling the impact of soil and water conservation structures at various scales in Tunisian semi-arid region. Arabian Journal of Geosciences14(24), 1-12. DOI
  11. Mahjoub, O., & Chmengui, W. (2021). Pharmaceutical active compounds in marine and coastal environments of arid and semi-arid countries of the Arab region. In Pharmaceuticals in Marine and Coastal Environments (pp. 91-119). Elsevier. DOI
  12. Marzougui, N., Guasmi, F., Dhouioui, S., Bouhlel, M., Hachicha, M., Berndtsson, R., & Sleimi, N. (2021). Efficiency of Different Moringa oleifera (Lam.) Varieties as Natural Coagulants for Urban Wastewater Treatment. Sustainability13(23), 13500. DOI
  13. Molénat, J., Dagès, C., Bouteffeha, M., & Mekki, I. (2021). Can small reservoirs be used to gauge stream runoff? Journal of Hydrology603, 127087. DOI
  14. Rebai H., Raclot D., Ben Slimane A., Ben Ouezdou H. (2021). Facteurs et dynamique du ravinement dans le bassin versant de Fidh Ali (Tunisie) de 1952 à 2009. Annales de l’INRGREF, 22 : 53-76. DOI
  15. Vidal, T.H., Jacob, F., Olioso, A. and Gamet, P., 2021. Optimization of instrumental spectral configurations for the split-window method in the context of the TRISHNA mission. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-14.DOI
  1. Farhani N., Carreau J., Boulet G., Kassouk Z., Le Page M., Lili-Chabaane Z., Zitouna R., 2020. Scenarios of hydrometeorological variables based on auxiliary data for water stress retrieval in central Tunisia, Journal of Hydrology, DOI.
  2. Ferchichi I., Mekki I., Elloumi M., Arfa L., & Lardon S., 2020. Actors, Scales and Spaces Dynamics Linked to Groundwater Resources use for Agriculture Production in Haouaria Plain, Tunisia. A Territory Game Approach. Land, 9(3), 74. DOI.
  3. Foucras M., Zribi M., Albergel C., Baghdadi N., Calvet J. C., & Pellarin T., 2020. Estimating 500-m Resolution Soil Moisture Using Sentinel-1 and Optical Data Synergy. Water, 12(3), 866. DOI.
  4. Pijl A., Bailly J. S., Feurer D., El Maaoui M. A., Boussema M. R., & Tarolli P., 2020. TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering. International Journal of Applied Earth Observation and Geoinformation, 84, 101977. DOI.
  5. Weiss M., Jacob F., & Duveiller G., 2020. Remote sensing for agricultural applications: A meta-review. Remote Sensing of Environment, 236, 111402. DOI.
  1. Alaya I., Masmoudi M. M., Jacob F., Mechlia N. B., 2019. Up-scaling of crop productivity estimations using the AquaCrop model and GIS-based operations. Arabian Journal of Geosciences, 12(14), 419. DOI.
  2. Ben Zekri Y., Barkaoui K., Marrou H., Mekki I., Belhouchette H., & Wery J., 2019. On farm analysis of the effect of the preceding crop on N uptake and grain yield of durum wheat (Triticum durum Desf.) in Mediterranean conditions. Archives of Agronomy and Soil Science, 65(5), 596-611. DOI.
  3. Boudhina N., Masmoudi M., Alaya I., Jacob F., Ben Mechlia N., 2019. Use of AquaCrop model for estimating crop evapotranspiration and biomass production in hilly topography. Arabian Journal of Geosciences, 12(8), 259. DOI.
  4. Bousbih S., Zribi M., Pelletier C., Gorrab A., Lili-Chabaane Z., Baghdadi N., Mougenot B., 2019. Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2. Remote Sensing, 11(13), 1520. DOI.
  5. Coste C.M., Riaux-Gobin C., Riaux J., Saenz-Agudelo P., Massuel S., Calvez R., Ector L., Ben Aissa N., Bou Rkhiss A., 2019. Aïn KiBrit A. two springs from the Merguellil Basin (Kairouan, central Tunisia): Diatom assemblages, Biological polluosensitivity indices, hydrogeology and societal aspects. Vie et Milieu, Laboratoire Arago, 69 (1). DOI.
  6. Gasmi A., Gomez C., Lagacherie P., Zouari H., 2019. Surface soil clay content mapping at large scales using multispectral (VNIR–SWIR) ASTER data. International journal of remote sensing, 40(4), 1506-1533. DOI.
  7. Jouini M., Burte J., Biard Y., Benaissa N., Amara H., Sinfort C., 2019. A framework for coupling a participatory approach and life cycle assessment for public decision-making in rural territory management. Science of The Total Environment, 655, 1017-1027. DOI.
  8. Lagacherie P., Arrouays D., Bourennane H., Gomez C., Martin M., Saby N. P., 2019. How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery. Geoderma, 337, 1320-1328. DOI.
  9. Le Page M., Zribi M., 2019. Analysis and Predictability of Drought In Northwest Africa Using Optical and Microwave Satellite Remote Sensing Products. Scientific Reports, 9, 1466. DOI.
  10. Ogilvie A., Riaux J., Massuel S., Mulligan M., Belaud G., Le Goulven P., Calvez R., 2019. Socio-hydrological drivers of agricultural water use in small reservoirs. Agricultural Water Management, 218, 17-29. DOI.
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  12. Tramblay Y., Feki, H. Quintana‐Seguí P., & Guijarro J. A., Carreau J., 2019. The SAFRAN daily gridded precipitation product in Tunisia (1979–2015). International Journal of Climatology, 39(15), 5830-5838. DOI.
  1. Ben Slimane A., Raclot D., Rebai H., Le Bissonnais Y., Planchon O., Bouksila F., 2018. Combining field monitoring and aerial imagery to evaluate the role of gully erosion in a Mediterranean catchment (Tunisia). Catena, 170, 73-83. DOI.
  2. Boudhina N., Zitouna Chebbi R., Mekki I., Jacob F., Ben Mechlia N., Masmoudi M., Prévot L., 2018. Evaluating four gap-filling methods for eddy covariance measurements of evapotranspiration over hilly crop fields. Geoscientific Instrumentation, Methods and Data Systems, 7, 151–167. DOI.
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  4. Bousbih S., Zribi M., El-Hajj M., Baghdadi N., Lili-Chabaane Z., Qi G., and Fanise P., 2018. Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data. Remote Sensing, 10, 1953. DOI.
  5. Braiki H., Burte J., Imache A., Hassenforder E., Habaieb H., Bouarfa S., 2018. Expérimenter la concertation : une clé pour des politiques environnementales plus efficaces ? Une démarche multi-acteurs innovante en Tunisie centrale. Cah. Agric. 27, 15003. DOI.
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  1. Annabi M., Raclot D., Bahri H., Bailly J.S., Gomez C., Le Bissonnais Y., 2017. Spatial variability of soil aggregate stability at the scale of an agricultural region in Tunisia. Catena, 153,157-167. DOI.
  2. Bousbih S., Zribi M., Lili-Chabaane Z., Baghdadi N., El Hajj M., Gao Q., Mougenot B., 2017. Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters, Sensors, 17(11), 2617. DOI.
  3. Baghdadi N., ElHajj M., Zribi M., Bousbih S., 2017. Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands, Remote Sensing, 9, 969. DOI.
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  6. Gorrab A., Simonneaux V., Zribi M., Saadi S., Baghdadi N., Lili-Chabaane Z., Fanise P., 2017. Bare Soil HYdrological Balance Model “MHYSAN”: Calibration and Validation Using SAR Moisture Products and Continuous Thetaprobe Network Measurements over bare agricultural soils (Tunisia), Journal of Arid Environments,139, 11-25. DOI.
  7. Inoubli N., Raclot D., Mekki I., Moussa R., Le Bissonnais Y. 2017. A spatio-temporal multiscale analysis of runoff and erosion in a Mediterranean marly catchment. Vadose Zone Journal, 16(12), DOI.
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