Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia
Climate extreme like drought significantly affect the quality of the environment and threaten food availability in developing countries like Ethiopia. In this study, satellite-based agricultural drought assessments were conducted in the 0main crop growing season (June to September) using Landsat 8 i...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-04-01
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| Series: | Environmental Challenges |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667010022000488 |
| _version_ | 1818210597901172736 |
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| author | Bayisa Negasa Wolteji Sintayehu Teka Bedhadha Sintayehu Legese Gebre Esayas Alemayehu Dessalegn Obsi Gemeda |
| author_facet | Bayisa Negasa Wolteji Sintayehu Teka Bedhadha Sintayehu Legese Gebre Esayas Alemayehu Dessalegn Obsi Gemeda |
| author_sort | Bayisa Negasa Wolteji |
| collection | DOAJ |
| description | Climate extreme like drought significantly affect the quality of the environment and threaten food availability in developing countries like Ethiopia. In this study, satellite-based agricultural drought assessments were conducted in the 0main crop growing season (June to September) using Landsat 8 images of five periods (2015 to 2019) in the Rift Valley Region of Ethiopia. To assess the agricultural drought we used Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). The results indicate that the main crop growing season was experienced by drought and wet which vary from extremely dry to extremely wet. The value of VHI, the cumulative effects of TCI and VCI, revealed that 2016 was the most drought-prone while 2019 was the wettest year. Results of NDVI and LST showed a negative correlation. Results showed that drought was more severe in the lowland areas than highland areas in the study area. Accordingly, high drought was observed in the northern and central parts of the study area. It is obvious that the lowland areas face a precipitation deficit because of high temperature and evapotranspiration. This study suggests that satellite-based indices were crucial to provide early warning systems for the farming communities and to suggest adaptation options that minimize the potential impacts of agricultural droughts on people's livelihoods and wellbeing. Moreover, further research should be conducted by incorporating other social and biophysical factors to enhance the understanding of agricultural drought and its effect on the economy of the agricultural communities. |
| first_indexed | 2024-12-12T05:19:09Z |
| format | Article |
| id | doaj.art-45a76fa0da4f414692472ac5f9571fd3 |
| institution | Directory Open Access Journal |
| issn | 2667-0100 |
| language | English |
| last_indexed | 2024-12-12T05:19:09Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental Challenges |
| spelling | doaj.art-45a76fa0da4f414692472ac5f9571fd32022-12-22T00:36:39ZengElsevierEnvironmental Challenges2667-01002022-04-017100488Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of EthiopiaBayisa Negasa Wolteji0Sintayehu Teka Bedhadha1Sintayehu Legese Gebre2Esayas Alemayehu3Dessalegn Obsi Gemeda4Department of Earth Science, Wollega University, Ethiopia; Department of Geography and Environmental Studies, Jimma University, EthiopiaDepartment of Geography and Environmental Studies, Jimma University, EthiopiaDepartment of Natural Resources Management, Jimma University, EthiopiaDepartment of Civil and Environmental Engineering, JIT, Jimma University, EthiopiaDepartment of Natural Resources Management, Jimma University, Ethiopia; Corresponding author.Climate extreme like drought significantly affect the quality of the environment and threaten food availability in developing countries like Ethiopia. In this study, satellite-based agricultural drought assessments were conducted in the 0main crop growing season (June to September) using Landsat 8 images of five periods (2015 to 2019) in the Rift Valley Region of Ethiopia. To assess the agricultural drought we used Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). The results indicate that the main crop growing season was experienced by drought and wet which vary from extremely dry to extremely wet. The value of VHI, the cumulative effects of TCI and VCI, revealed that 2016 was the most drought-prone while 2019 was the wettest year. Results of NDVI and LST showed a negative correlation. Results showed that drought was more severe in the lowland areas than highland areas in the study area. Accordingly, high drought was observed in the northern and central parts of the study area. It is obvious that the lowland areas face a precipitation deficit because of high temperature and evapotranspiration. This study suggests that satellite-based indices were crucial to provide early warning systems for the farming communities and to suggest adaptation options that minimize the potential impacts of agricultural droughts on people's livelihoods and wellbeing. Moreover, further research should be conducted by incorporating other social and biophysical factors to enhance the understanding of agricultural drought and its effect on the economy of the agricultural communities.http://www.sciencedirect.com/science/article/pii/S2667010022000488Drought monitoringEthiopiaMultispectralVegetation health index |
| spellingShingle | Bayisa Negasa Wolteji Sintayehu Teka Bedhadha Sintayehu Legese Gebre Esayas Alemayehu Dessalegn Obsi Gemeda Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia Environmental Challenges Drought monitoring Ethiopia Multispectral Vegetation health index |
| title | Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia |
| title_full | Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia |
| title_fullStr | Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia |
| title_full_unstemmed | Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia |
| title_short | Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia |
| title_sort | multiple indices based agricultural drought assessment in the rift valley region of ethiopia |
| topic | Drought monitoring Ethiopia Multispectral Vegetation health index |
| url | http://www.sciencedirect.com/science/article/pii/S2667010022000488 |
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