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02 Feb 2026
Predicting Leishmaniasis Risk in Morocco Using Machine Learning, GIS, and Domain Adaptation : A case study of Beni Mellal-Khenifra Region
Saad Farah, Abderrazzak Elbidouri, Achraf Boutejdir, Nadia Dagdague, Amine Rouhi, Mohamed Maanan, and Hassan Rhinane
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Optimizing Photovoltaic Detection in High-Resolution Satellite Imagery Using GIS, DeepLabv3+, and Transformer-Based Models: A Case Study of the Marrakesh-Safi Region
Saad Farah, Nora Nait, Hachem Saadaoui, Hatim Lechgar, Mehdi Maanan, Mohamed Maanan, Anass Rghioui, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 431–441, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-431-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-431-2026, 2026
Enhancing Spatial Resolution of Sentinel-2 Imagery through Deep Learning and Generative Adversarial Networks: GS-SRGAN
Saad Farah, Hachem Saadaoui, Hatim Lechgar, Mehdi Maanan, Mohamed Maanan, Anass Rghioui, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 123–134, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026, 2026
Optimizing Photovoltaic Detection in High-Resolution Satellite Imagery Using GIS, DeepLabv3+, and Transformer-Based Models: A Case Study of the Marrakesh-Safi Region
Saad Farah, Nora Nait, Hachem Saadaoui, Hatim Lechgar, Mehdi Maanan, Mohamed Maanan, Anass Rghioui, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 431–441, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-431-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-431-2026, 2026
Advanced Drought Prediction Using Hybrid Deep Learning Models: A Case Study of the High Atlas and Anti-Atlas Mountains
Nacer Aderdour, Ikram Essajai, Mohamed El Ghazouani, Abdelmajid Bessate, Henri Rueff, Mehdi Maanan, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 7–11, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-7-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-7-2026, 2026
Spatiotemporal modeling of CO2 Emissions in Casablanca, Morocco, with Integrated Web Mapping Application for Interactive Data Sharing
Nouhayla El Ayyachi, Othmane Chemlal, Hicham Bahi, Fouad Riane, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 99–113, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-99-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-99-2026, 2026
Identifying Vulnerable Communities for Targeted Emergency Planning in Al Haouz, Marrakech, Morocco
Zineb El Faraj, Hakima Zair, Hassan Rhinane, Safaâ Meknassi, Safia Loulad, and Mehdi Maanan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 115–122, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-115-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-115-2026, 2026
Enhancing Spatial Resolution of Sentinel-2 Imagery through Deep Learning and Generative Adversarial Networks: GS-SRGAN
Saad Farah, Hachem Saadaoui, Hatim Lechgar, Mehdi Maanan, Mohamed Maanan, Anass Rghioui, and Hassan Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 123–134, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026, 2026
Evaluating AI for Palm Tree Disease Detection: A Comparative Study of YOLOv8 Object Detection and U-Net Segmentation Using UAV Imagery
Ayoub Hammadi, Ikram Essajai, Chaimaa El Kihal, Soukaina Zerrouk, Iliasse Mahi, Chaimae Samdaoui, Mohamed Maanan, Hassan Rhinane, Aude Zingraff-Hamed, and Mehdi Maanan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 159–168, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-159-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-159-2026, 2026
Deep Learning for Palm Tree Health Assessment: UAV-Based Segmentation in the Figuig Region of Morocco
Ayoub Hammadi, Iliasse Mahi, Hassan Rhinane, Mehdi Maanan, Aude Zingraff-Hamed, and Mohamed Maanan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 169–181, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-169-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-169-2026, 2026
A framework for risk assessment during natural hazard based on the Choquet integral and MACBETH
Léia Savary, Eve-Shera Buron, Valisoa Bujard, Pierre Pouzet, Thierry Le Pors, and Mohamed Maanan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W17-2025, 285–291, https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-285-2026,https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-285-2026, 2026
INTEGRATION OF DEEP LEARNING MODELS FOR VEHICLE COUNTING: TOWARDS OPTIMIZED PLANNING OF URBAN CHARGING INFRASTRUCTURES
M. Benayad, A. Rochd, N. Houran, M. R. Simou, M. Maanan, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 77–82, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-77-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-77-2024, 2024
MACHINE LEARNING (AI) FOR IDENTIFYING SMART CITIES
L. Hammoumi and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 221–228, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-221-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-221-2024, 2024
MONITORING FOREST DEGRADATION OVER FOUR DECADES USING REMOTE SENSING AND MACHINE LEARNING CLASSIFICATION ALGORITHMS IN BOUSKOURA, MOROCCO
M. R. Simou, N. Houran, M. Benayad, M. Maanan, S. Loulad, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 337–342, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-337-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-337-2024, 2024
USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO
N. Houran, H. Ait Raoui, M. Manaan, A. Aabi, M. R. Simou, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 423–430, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-423-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-423-2023, 2023
USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO
M. Seddouki, M. Benayad, Z. Aamir, M. Tahiri, M. Maanan, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 333–342, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-333-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-333-2023, 2023
USING YOLOV5 TO DETECT PLASTIC GREENHOUSES IN MOROCCO
M. R. Simou, S. Loulad, Z. Aamir, M. Maanan, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 351–354, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-351-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-351-2023, 2023
RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES
Z. Aamir, M. Seddouki, O. Himmy, M. Maanan, M. Tahiri, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 1–5, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-1-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-1-2023, 2023
THE USE OF DEEP LEARNING IN REMOTE SENSING FOR MAPPING IMPERVIOUS SURFACE: A REVIEW PAPER
S. Mahyoub, H. Rhinane, M. Mansour, A. Fadil, Y. Akensous, and A. Al Sabri
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 199–203, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-199-2022,https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-199-2022, 2022
DEEP LEARNING APPROACH FOR URBAN MAPPING
C. Najjaj, H. Rhinane, and A. Hilali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 261–266, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-261-2022,https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-261-2022, 2022
PREFACE
A. Abdul Rahman and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 1–1, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-1-2022,https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-1-2022, 2022
DEEP LEARNING: NEW APPROACH FOR DETECTING SCHOLAR EXAMS FRAUD
S. El Kohli, Y. Jannaj, M. Maanan, and H. Rhinane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 103–107, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-103-2022,https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-103-2022, 2022