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

Lubna W. Said, Nadia A. Aziz, Luay Y. Hussein
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Abstract

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 metrologi - cal 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 .
基于地理信息系统和遥感数据的瓦西特省农业和气象干旱时空分布图
干旱是危及生命和财产的最常见自然灾害之一,可在各种天气和环境条件下发生。本研究旨在利用遥感数据监测瓦西特省的农业和气象干旱。根据 2013 年和 2023 年的 NDVI,使用 Landsat 8 图像绘制了农业干旱地图。此外,还使用 SPI-12 对同年的气象干旱进行了评估。研究结果表明,虽然 2023 年的 SPI 读数较低,但 2013 年的 SPI-12 表明干旱类型接近正常。确定了两种干旱类型:中度干旱和轻度干旱。结果显示,2013 年中度干旱占总面积的 31%,轻度干旱占总面积的 64%,无干旱占总面积的 3.9%。而在 2023 年,中度干旱占总面积的 47%,轻度干旱占总面积的 49%,无干旱占总面积的 3.2%。我们注意到,在 2023 年,中度干旱等级增加了约 16%。政府规划人员在制定和管理干旱后果时可能会发现这一结果很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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