Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia

Study area: Ethiopia and in particular the crop growing areas. Study focus: Drought is one of the most devastating natural disasters in the world, so better monitoring and assessment are essential. It is essential for facilitating decision-making for establishing an agricultural drought monitoring i...

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Main Author: Zerihun Chere
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825003817
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author Zerihun Chere
author_facet Zerihun Chere
author_sort Zerihun Chere
collection DOAJ
description Study area: Ethiopia and in particular the crop growing areas. Study focus: Drought is one of the most devastating natural disasters in the world, so better monitoring and assessment are essential. It is essential for facilitating decision-making for establishing an agricultural drought monitoring index by integrating several input factors into a single index. The objective of this study is to develop a combined agricultural drought index (CADI) for Ethiopia. From 2001–2021, remote sensing-based input parameters such as land surface temperature (LST), precipitation, normalized difference vegetation index (NDVI), soil moisture, and evapotranspiration were used to develop a combined agricultural drought index (CADI) on a monthly scale. New hydrological insights for the region: CADI maps across 2001–2021 depict moderate-to-extreme drought cases in Ethiopia, with 2002, 2009, and 2015 shown as severe examples. The results show that the combined agricultural drought index performed well in terms of capturing and characterizing agricultural drought events in the main crop-growing areas during the Kiremt seasons. The combined agricultural drought index and crop yield had the highest correlation (r = 0.87) in Eastern Tigray, demonstrating the indicator's applicability for agricultural drought monitoring. Overall, the combined agricultural drought index captured the spatial and temporal patterns of the historic drought effectively, and thus the model can be utilized to construct agricultural drought monitoring and an early warning system in Ethiopia to avert the adverse impacts of drought.
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spelling doaj-art-2d0ff1e76a6942e8b65a455d5ac676ae2025-08-20T03:08:32ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-08-016010255610.1016/j.ejrh.2025.102556Developing earth observation-based combined drought indicator to monitor agricultural drought in EthiopiaZerihun Chere0Department of Geography and Environmental Studies, Dire Dawa University, Dire Dawa, EthiopiaStudy area: Ethiopia and in particular the crop growing areas. Study focus: Drought is one of the most devastating natural disasters in the world, so better monitoring and assessment are essential. It is essential for facilitating decision-making for establishing an agricultural drought monitoring index by integrating several input factors into a single index. The objective of this study is to develop a combined agricultural drought index (CADI) for Ethiopia. From 2001–2021, remote sensing-based input parameters such as land surface temperature (LST), precipitation, normalized difference vegetation index (NDVI), soil moisture, and evapotranspiration were used to develop a combined agricultural drought index (CADI) on a monthly scale. New hydrological insights for the region: CADI maps across 2001–2021 depict moderate-to-extreme drought cases in Ethiopia, with 2002, 2009, and 2015 shown as severe examples. The results show that the combined agricultural drought index performed well in terms of capturing and characterizing agricultural drought events in the main crop-growing areas during the Kiremt seasons. The combined agricultural drought index and crop yield had the highest correlation (r = 0.87) in Eastern Tigray, demonstrating the indicator's applicability for agricultural drought monitoring. Overall, the combined agricultural drought index captured the spatial and temporal patterns of the historic drought effectively, and thus the model can be utilized to construct agricultural drought monitoring and an early warning system in Ethiopia to avert the adverse impacts of drought.http://www.sciencedirect.com/science/article/pii/S2214581825003817Agricultural droughtCombined agricultural drought indexEarth observationSoil moistureVegetation condition indexLand surface temperature
spellingShingle Zerihun Chere
Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
Journal of Hydrology: Regional Studies
Agricultural drought
Combined agricultural drought index
Earth observation
Soil moisture
Vegetation condition index
Land surface temperature
title Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
title_full Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
title_fullStr Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
title_full_unstemmed Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
title_short Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia
title_sort developing earth observation based combined drought indicator to monitor agricultural drought in ethiopia
topic Agricultural drought
Combined agricultural drought index
Earth observation
Soil moisture
Vegetation condition index
Land surface temperature
url http://www.sciencedirect.com/science/article/pii/S2214581825003817
work_keys_str_mv AT zerihunchere developingearthobservationbasedcombineddroughtindicatortomonitoragriculturaldroughtinethiopia