GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS

Benayad, M.; Houran, N.; Aamir, Z.; Maanan, M.; Rhinane, H.

doi:https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-75-2023

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Articles | Volume XLVIII-4/W6-2022

https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-75-2023

Articles | Volume XLVIII-4/W6-2022

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06 Feb 2023

| 06 Feb 2023

GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS

M. Benayad, N. Houran, Z. Aamir, M. Maanan, and H. Rhinane

M. Benayad

Geoscience laboratory, Department of geology, Faculty of Sciences Ain Chock, University Hassan II Casablanca, BP 5366 Maarif Casablanca, Morocco

N. Houran

Geoscience laboratory, Department of geology, Faculty of Sciences Ain Chock, University Hassan II Casablanca, BP 5366 Maarif Casablanca, Morocco

Z. Aamir

Geoscience laboratory, Department of geology, Faculty of Sciences Ain Chock, University Hassan II Casablanca, BP 5366 Maarif Casablanca, Morocco

M. Maanan

Geoscience laboratory, Department of geology, Faculty of Sciences Ain Chock, University Hassan II Casablanca, BP 5366 Maarif Casablanca, Morocco

H. Rhinane

Geoscience laboratory, Department of geology, Faculty of Sciences Ain Chock, University Hassan II Casablanca, BP 5366 Maarif Casablanca, Morocco

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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

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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 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

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

MACHINE LEARNING (AI) FOR IDENTIFYING SMART CITIES

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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

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USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO

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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

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A NEW APPROACH FOR MAPPING LAND USE / LAND COVER USING GOOGLE EARTH ENGINE: A COMPARISON OF COMPOSITION IMAGES

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 343–349, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-343-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-343-2023, 2023

USING YOLOV5 TO DETECT PLASTIC GREENHOUSES IN MOROCCO

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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

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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

LANDSLIDE SUSCEPTIBILITY MAPPING USING MACHINE LEARNING ALGORITHMS STUDY CASE AL HOCEIMA REGION, NORTHERN MOROCCO

O. Himmy and H. Rhinane

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 153–158, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-153-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-153-2023, 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

ASSESSMENT OF URBAN ENVIRONMENTAL QUALITY: A CASE STUDY OF CASABLANCA, MOROCCO

A. Malah, H. Bahi, H. Radoine, M. Maanan, and H. Mastouri

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 205–210, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-205-2022,https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-205-2022, 2022

DEEP LEARNING APPROACH FOR URBAN MAPPING

C. Najjaj, H. Rhinane, and A. Hilali

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PREFACE

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GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS

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