Spatiotemporal Mapping of Agricultural and Meteorological Drought in Wasit Province Based on GIS and Remote Sensing Data

• Autorzy: Said, Lubna W. , Aziz, Nadia A. , Hussein, Luay Y.
• Języki publikacji: EN

Abstrakty

EN

One of the most common natural hazards that can endanger life and property is drought, which can happen under a variety of weather and environmental circumstances. This study aims to monitor the agricultural and metrological drought in the Wasit Province using remote sensing data. Landsat 8 images were used to create the agriculture drought maps based on the NDVI for the years 2013, and 2023. Additionally, SPI-12 was used for the same years to evaluate the meteorological drought. The findings demonstrated that while SPI readings in 2023 were lower, the SPI-12 in 2013 indicated near-normal drought types. Two types of drought have been identified: moderate and slight. The result shows that, for the year 2013 the percentage of moderate drought is 31%, slight drought 64%, and no drought 3.9% from the total area. While, in 2023 the percentage of moderate drought is 47%, slight drought 49%, and no drought 3.2% from the total area. It is noticed that in 2023, the moderate drought class increased by about 16%. Government planners may find this results valuable when developing and managing drought consequences.

Słowa kluczowe

EN

GIS; drought; NDVI; SPI; remote sensing

• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2024
• Tom: Vol. 25, iss. 6
• Strony: 115--122
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Said, Lubna W.

• Civil Engineering Department, University of Technology, Baghdad, 10066, Iraq,

autor

Aziz, Nadia A.

• Civil Engineering Department, University of Technology, Baghdad, 10066, Iraq,

autor

Hussein, Luay Y.

• Civil Engineering Department, University of Technology, Baghdad, 10066, Iraq,

Bibliografia

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Identyfikatory

DOI

10.12912/27197050/186869