Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image
The use of satellite imagery provides valuable information on vegetation (agriculture, forest, etc.). Among the recently launched satellites are the Mohammed VI satellite. The Mohammed VI satellite imagery has a very high spatial resolution (VHR) (50 cm), which enables the study of vegetation at a v...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04011.pdf |
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| author | chikh Essbiti Mohammed El Ghmari Abderrahmene El Harti Abderrazak Bachaoui El Mostapha Namous Mustapha Krimissa Samira El Aloui Abdenbi Hajaj Soufiane Laouane Mourad |
| author_facet | chikh Essbiti Mohammed El Ghmari Abderrahmene El Harti Abderrazak Bachaoui El Mostapha Namous Mustapha Krimissa Samira El Aloui Abdenbi Hajaj Soufiane Laouane Mourad |
| author_sort | chikh Essbiti Mohammed |
| collection | DOAJ |
| description | The use of satellite imagery provides valuable information on vegetation (agriculture, forest, etc.). Among the recently launched satellites are the Mohammed VI satellite. The Mohammed VI satellite imagery has a very high spatial resolution (VHR) (50 cm), which enables the study of vegetation at a very fine scale, such as the mapping of tree species. However, to date, few studies have been published on vegetation analysis using Mohammed VI satellite imagery. For this reason, this study presents an attempt to use Mohammed VI satellite imagery for forest vegetation mapping. In this project, we employed three main approaches to map tree species, namely a pixel-based approach to eliminate the “non-vegetation” class, a photo-interpretation approach to create samples (training and validation), and an Object-Based Image Analysis (OBIA) to classify tree cover and tree species. This study demonstrated that the Mohammed VI satellite imagery allowed for the extraction of vegetation and tree cover with an accuracy exceeding 90%. However, the accuracy for mapping tree species is around 60%. Therefore, this work has shown that the Mohammed VI satellite imagery presents a real potential for mapping vegetation and, more specifically, forest tree species. |
| format | Article |
| id | doaj-art-17ae53ec5bf24df797c4221a52fc0424 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-17ae53ec5bf24df797c4221a52fc04242025-02-05T10:49:23ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070401110.1051/e3sconf/202560704011e3sconf_errachidia2024_04011Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Imagechikh Essbiti Mohammed0El Ghmari Abderrahmene1El Harti Abderrazak2Bachaoui El Mostapha3Namous Mustapha4Krimissa Samira5El Aloui Abdenbi6Hajaj Soufiane7Laouane Mourad8Data Science for Sustainable Earth Laboratory (Data4Earth), Sultan Moulay Slimane UniversityGeomatics, Georesources, and Environment Laboratory, Sultan Moulay Slimane UniversityGeomatics, Georesources, and Environment Laboratory, Sultan Moulay Slimane UniversityGeomatics, Georesources, and Environment Laboratory, Sultan Moulay Slimane UniversityData Science for Sustainable Earth Laboratory (Data4Earth), Sultan Moulay Slimane UniversityData Science for Sustainable Earth Laboratory (Data4Earth), Sultan Moulay Slimane UniversityData Science for Sustainable Earth Laboratory (Data4Earth), Sultan Moulay Slimane UniversityGeomatics, Georesources, and Environment Laboratory, Sultan Moulay Slimane UniversityGeomatics, Georesources, and Environment Laboratory, Sultan Moulay Slimane UniversityThe use of satellite imagery provides valuable information on vegetation (agriculture, forest, etc.). Among the recently launched satellites are the Mohammed VI satellite. The Mohammed VI satellite imagery has a very high spatial resolution (VHR) (50 cm), which enables the study of vegetation at a very fine scale, such as the mapping of tree species. However, to date, few studies have been published on vegetation analysis using Mohammed VI satellite imagery. For this reason, this study presents an attempt to use Mohammed VI satellite imagery for forest vegetation mapping. In this project, we employed three main approaches to map tree species, namely a pixel-based approach to eliminate the “non-vegetation” class, a photo-interpretation approach to create samples (training and validation), and an Object-Based Image Analysis (OBIA) to classify tree cover and tree species. This study demonstrated that the Mohammed VI satellite imagery allowed for the extraction of vegetation and tree cover with an accuracy exceeding 90%. However, the accuracy for mapping tree species is around 60%. Therefore, this work has shown that the Mohammed VI satellite imagery presents a real potential for mapping vegetation and, more specifically, forest tree species.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04011.pdfmohammed vi satellite imageryobject-based image analysispixel-based approachphoto-interpretationforest tree species |
| spellingShingle | chikh Essbiti Mohammed El Ghmari Abderrahmene El Harti Abderrazak Bachaoui El Mostapha Namous Mustapha Krimissa Samira El Aloui Abdenbi Hajaj Soufiane Laouane Mourad Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image E3S Web of Conferences mohammed vi satellite imagery object-based image analysis pixel-based approach photo-interpretation forest tree species |
| title | Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image |
| title_full | Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image |
| title_fullStr | Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image |
| title_full_unstemmed | Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image |
| title_short | Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image |
| title_sort | mapping tree covered forest formations case study beni mellal forest evaluation study of the potential of the mohammed vi b satellite image |
| topic | mohammed vi satellite imagery object-based image analysis pixel-based approach photo-interpretation forest tree species |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04011.pdf |
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