Hasil Pencarian - Tarik Benabdelouahab

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  1. 1
    Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets

    Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets oleh Abdelaziz Htitiou, Abdelghani Boudhar, Tarik Benabdelouahab

    Diterbitkan 2021-03-01
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  2. 2
    Analysis of Farms Performance Using Different Sources of Irrigation Water: A Case Study in a Semi-Arid Area

    Analysis of Farms Performance Using Different Sources of Irrigation Water: A Case Study in a Semi-Arid Area oleh Hayat Lionboui, Tarik Benabdelouahab, Aziz Hasib, Abdelali Boulli

    Diterbitkan 2016-06-01
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  3. 3
    National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine

    National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine oleh Abdelaziz Htitiou, Abdelghani Boudhar, Abdelghani Chehbouni, Tarik Benabdelouahab

    Diterbitkan 2021-10-01
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  4. 4
    REVIEW OF WHEAT YIELD ESTIMATING METHODS IN MOROCCO

    REVIEW OF WHEAT YIELD ESTIMATING METHODS IN MOROCCO oleh Adra IDRISSI, Samir Nadem, Abdelghani Boudhar, Tarik Benabdelouahab

    Diterbitkan 2022-09-01
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  5. 5
    Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area

    Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area oleh Rida Khellouk, Ahmed Barakat, Aafaf El Jazouli, Hayat Lionboui, Tarik Benabdelouahab

    Diterbitkan 2021-07-01
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  6. 6
    MODELING WHEAT YIELD BY USING PHENOLOGYCAL METRICS DERIVED FROM SENTINEL2 IN ARID AND SEMI-ARID REGIONS- A case study in MOROCCO

    MODELING WHEAT YIELD BY USING PHENOLOGYCAL METRICS DERIVED FROM SENTINEL2 IN ARID AND SEMI-ARID REGIONS- A case study in MOROCCO oleh Adra IDRISSI, Abdelaziz Htitiou, Samir Nadem, Abdelghani Boudhar, Youssef Lebrini, Tarik Benabdelouahab

    Diterbitkan 2023-01-01
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  7. 7
    Recours aux satellites pour appuyer le management de l’eau d’irrigation: Estimation des besoins en eau des agrumes par télédétection dans la Plaine de Triffa-Berkane (Maroc)

    Recours aux satellites pour appuyer le management de l’eau d’irrigation: Estimation des besoins en eau des agrumes par télédétection dans la Plaine de Triffa-Berkane (Maroc)... oleh Rachid Hadria, Loubna Elmansouri, Tarik Benabdelouahab, Hamza Ouatiki, Youssef Lebrini, Abdelaziz Htitiou, Rida Khellouk

    Diterbitkan 2019-05-01
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  8. 8
    Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data

    Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data oleh Youssef Lebrini, Abdelghani Boudhar, Ahmed Laamrani, Abdelaziz Htitiou, Hayat Lionboui, Adil Salhi, Abdelghani Chehbouni, Tarik Benabdelouahab

    Diterbitkan 2021-02-01
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  9. 9
    Élever la Résilience Agricole à l'Ère Numérique : Les Avantages et les limites de l'Agriculture Digitale

    Élever la Résilience Agricole à l'Ère Numérique : Les Avantages et les limites de l'Agriculture Digitale oleh Tarik Benabdelouahab, Abdellah Elaissaoui, Hayat Lionboui, Abdelali Mouaaid, Fouad Elame, Maryem Ismaili, Meryem Touzani, Yassine Bouslihim, Imane Thami Alami

    Diterbitkan 2024-04-01
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  10. 10
    Moroccan Strawberry Tree (<i>Arbutus unedo</i> L.) Fruits: Nutritional Value and Mineral Composition

    Moroccan Strawberry Tree (<i>Arbutus unedo</i> L.) Fruits: Nutritional Value and Mineral Composition oleh Zakaria Ait lhaj, Rahma Bchitou, Fatima Gaboun, Rabha Abdelwahd, Tarik Benabdelouahab, Mohammed Rachid Kabbour, Paul Pare, Ghizlane Diria, Khadija Bakhy

    Diterbitkan 2021-09-01
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  11. 11
    Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions

    Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions oleh Maryem Ismaili, Samira Krimissa, Mustapha Namous, Abdelaziz Htitiou, Kamal Abdelrahman, Mohammed S. Fnais, Rachid Lhissou, Hasna Eloudi, Elhousna Faouzi, Tarik Benabdelouahab

    Diterbitkan 2023-01-01
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