Abstract
Agricultural drought seriously affects the economies of developing countries due to heavily dependent on rain-fed agriculture. The present study aimed to assess agricultural drought based on vegetation condition index (VCI) and vegetation health index (VHI) using geospatial techniques, the case of Gilgel Gibe sub-basin southern Ethiopia. Landsat images of TM 1990, ETM + of 2000 and OLI/TIRS of 2020 were used to calculate VCI and VHI for assessing agricultural drought. A normalized difference vegetation index (NDVI) and land surface temperature (LST) were used to estimate agricultural drought through VCI and VHI. The result revealed that NDVI declined from 1990 to 2020 due to expansion of agricultural lands and other socioeconomic activities. The output of VCI values indicates that extreme drought was increased from 0.3 km2 in 1990 to.4 km2 and 0.7 km2 in 2000 and 2020, respectively. In addition, severe drought occurred in 2020 on an area of 6 km2 (0.1%). Consequently, moderate drought was increased by area of 3.3 km2, 22.2 km2 and 1051.1 km2 in 1990, 2000 and 2020, respectively, based on VHI in the study area. Thus, to minimize the negative effects of agricultural drought on socioeconomic and well-being of the society in the Gilgel Gibe sub-basin forest and other natural resources conservations are essentials not optional. To alleviate the detrimental consequences of agricultural drought on socioeconomic and well-being, forest and other natural resources conservation is necessary. Moreover, detailed research should be conducted in the study area by using high-resolution satellite data with ground control points.
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25 February 2022
A Correction to this paper has been published: https://doi.org/10.1007/s00704-022-03988-8
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The authors would like to acknowledge Wollega University Shambu Campus Faculty of Technology and Oda Bultum University Institute of Land Administration and Jimma University College of Agriculture and Veterinary Medicine for the existing facilities to conduct this research.
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MBM involved in research design, data collection, data analysis and draft manuscript. BBM involved in data analysis. DOG participated in methodology, data analysis and manuscript edition. All authors read and approved the final manuscript.
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The original online version of this article was revised: During the production process, the paragraph under section 13.3 Analysis of Land Surface Temperature (1990–2020) was originally omitted.
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Moisa, M.B., Merga, B.B. & Gemeda, D.O. Multiple indices-based assessment of agricultural drought: A case study in Gilgel Gibe Sub-basin, Southern Ethiopia. Theor Appl Climatol 148, 455–464 (2022). https://doi.org/10.1007/s00704-022-03962-4
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DOI: https://doi.org/10.1007/s00704-022-03962-4