Remote Sensing and Meteorological Indexes of Drought Using Open Short Time-Series Data in Doukkala Region, Morocco

• Autorzy: Ait Ayad Nada , Ait Ayad Alaaeddine , El Khalidi Khalid , Habib Adnane , Charif Abdelmounim

Identyfikatory

DOI

10.12912/27197050/156962

• Języki publikacji: EN

Abstrakty

EN

Over time, drought affects all regions of Morocco, especially in the arid climate region, which has negative consequences on agriculture, economic and environmental. The present study aims to describe the intensity of drought in Morocco and more specifically their impact on the distribution of vegetation. Spatial and temporal remote sensing data are used to monitor drought in the Doukkala region of Morocco, using a set of Landsat images, including Landsat 5 (ETM), and Landsat 7 (ETM+) captured during the period 1964–2014. This was determined based on remote sensing parameters: temperature condition index (TCI), vegetation condition index (VCI) and vegetation health index (VHI). The Normalized Difference Vegetation Index (NDVI) was determined for the years 1966, 1984, 1988, 2000 2006 and 2009, in order to identify the vegetation categories and quantify the vegetation density in the Doukkala region. The NDVI obtained was analyzed using the SPI (Normalized Precipitation Index) based on the rainfall data of the years 1966, 1984, 1988, 2000 2006 and 2009. The results obtained showed that the correlation between NDVI and SPI indicated negative values or less than 1. The calculation of VHI showed low values (VHI < 40%) in one part of the studied area that indicate severe to extreme drought conditions, while in the other part the VHI showed high values (VHI > 40%), which mainly reflect favorable conditions for crop development (no drought). The results of this study can be used for monitoring and evaluation of the drought for sustainable management of the area.

Słowa kluczowe

EN

drought monitoring; meteorological indicator; normalized difference vegetation index; NDVI; vegetation condition index; VCI; temperature condition index; TCI; vegetation health index; VHI; Doukkala region

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 2
• Strony: 1--10
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Ait Ayad Nada

• LGMSS-URAC45, Marine Geosciences and Soil Sciences Laboratory, Department of Geology, Faculty of Sciences El Jadida, Chouaib Doukkali University, Av. Jabrane Khalil Jabrane, 24 000, El Jadida, Morocco

• https://orcid.org/0000-0003-2800-5113

autor

Ait Ayad Alaaeddine

• LGAGE, Department of Earth Sciences,Faculty of Sciences Ben M’Sick, HASSAN II University, Av. Driss El Harti Sidi Othmane Casablanca, BP 7955, Casablanca, Morocco

• https://orcid.org/0000-0001-7644-9304

autor

El Khalidi Khalid

• LGMSS-URAC45, Marine Geosciences and Soil Sciences Laboratory, Department of Geology, Faculty of Sciences El Jadida, Chouaib Doukkali University, Av. Jabrane Khalil Jabrane, 24 000, El Jadida, Morocco

• https://orcid.org/0000-0003-2889-3210

autor

Habib Adnane

• Optics & Photonics Center, Moroccan Foundation for Advanced Science, Innovation and Research (MAScIR), BP 1010, Rabat, Morocco

• https://orcid.org/0000-0001-6651-1557

autor

Charif Abdelmounim

• LGMSS-URAC45, Marine Geosciences and Soil Sciences Laboratory, Department of Geology, Faculty of Sciences El Jadida, Chouaib Doukkali University, Av. Jabrane Khalil Jabrane, 24 000, El Jadida, Morocco

• https://orcid.org/0000-0001-7978-9208

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).