Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco
Drought is a climatic phenomenon that can adversely affect the environment and human activities. Currently, agricultural drought has become a concern in countries where agriculture largely depends on rainfall and is highly vulnerable to climatic variability. The study of drought requires the availab...
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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_04006.pdf |
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| author | El-Bouhali Abdelaziz El Ouazani Ech-Chahdi Khadija Amyay Mhamed |
| author_facet | El-Bouhali Abdelaziz El Ouazani Ech-Chahdi Khadija Amyay Mhamed |
| author_sort | El-Bouhali Abdelaziz |
| collection | DOAJ |
| description | Drought is a climatic phenomenon that can adversely affect the environment and human activities. Currently, agricultural drought has become a concern in countries where agriculture largely depends on rainfall and is highly vulnerable to climatic variability. The study of drought requires the availability of hydroclimatic and remote sensing data. Based on these data, researchers have proposed several indices (SPI, SPEI, PDSI, VCI, VHI, etc.) that allow the monitoring of the spatiotemporal evolution of drought. This study focuses on remote sensing data to illustrate agricultural drought in the Sebou watershed from 2010 to 2023. We used the NDVI derived from MODIS (Moderate Resolution Imaging Spectroradiometer) satellite images to calculate the Vegetation Condition Index (VCI) during the crop growth season. The analysis of the VCI over 14 years shows that the Sebou watershed has undergone droughts of varying severity, with a notable increase in drought events from 2016 to 2023. In 2016, approximately 50% of the basin experienced extreme agricultural drought. Thus, we found that the VCI is a valuable indicator that reflects the vegetation's response to the rainfall deficit recorded in recent years. |
| format | Article |
| id | doaj-art-754d07bd998f459ab27d3631065c0e0b |
| 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-754d07bd998f459ab27d3631065c0e0b2025-02-05T10:49:23ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070400610.1051/e3sconf/202560704006e3sconf_errachidia2024_04006Monitoring of agricultural drought using remote sensing data in the Sebou watershed, MoroccoEl-Bouhali Abdelaziz0El Ouazani Ech-Chahdi Khadija1Amyay Mhamed2Research Team Natural Environments, Planning, and Socio-Spatial Dynamics, Sidi Mohamed Ben Abdellah University.Research Team Natural Environments, Planning, and Socio-Spatial Dynamics, Sidi Mohamed Ben Abdellah University.Research Team Natural Environments, Planning, and Socio-Spatial Dynamics, Sidi Mohamed Ben Abdellah University.Drought is a climatic phenomenon that can adversely affect the environment and human activities. Currently, agricultural drought has become a concern in countries where agriculture largely depends on rainfall and is highly vulnerable to climatic variability. The study of drought requires the availability of hydroclimatic and remote sensing data. Based on these data, researchers have proposed several indices (SPI, SPEI, PDSI, VCI, VHI, etc.) that allow the monitoring of the spatiotemporal evolution of drought. This study focuses on remote sensing data to illustrate agricultural drought in the Sebou watershed from 2010 to 2023. We used the NDVI derived from MODIS (Moderate Resolution Imaging Spectroradiometer) satellite images to calculate the Vegetation Condition Index (VCI) during the crop growth season. The analysis of the VCI over 14 years shows that the Sebou watershed has undergone droughts of varying severity, with a notable increase in drought events from 2016 to 2023. In 2016, approximately 50% of the basin experienced extreme agricultural drought. Thus, we found that the VCI is a valuable indicator that reflects the vegetation's response to the rainfall deficit recorded in recent years.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04006.pdfagricultural droughtremote sensingmodisvcisebou watershed |
| spellingShingle | El-Bouhali Abdelaziz El Ouazani Ech-Chahdi Khadija Amyay Mhamed Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco E3S Web of Conferences agricultural drought remote sensing modis vci sebou watershed |
| title | Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco |
| title_full | Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco |
| title_fullStr | Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco |
| title_full_unstemmed | Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco |
| title_short | Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco |
| title_sort | monitoring of agricultural drought using remote sensing data in the sebou watershed morocco |
| topic | agricultural drought remote sensing modis vci sebou watershed |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04006.pdf |
| work_keys_str_mv | AT elbouhaliabdelaziz monitoringofagriculturaldroughtusingremotesensingdatainthesebouwatershedmorocco AT elouazaniechchahdikhadija monitoringofagriculturaldroughtusingremotesensingdatainthesebouwatershedmorocco AT amyaymhamed monitoringofagriculturaldroughtusingremotesensingdatainthesebouwatershedmorocco |