Drought Monitoring and assessment using earth observation data for Zambia
This study attempts to identify the spatial-temporal extent of the agricultural drought in Zambia using remote sensing data and crop production. IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. Also VCI,...
| Autores principales: | , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Water Management Institute
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/128114 |
| _version_ | 1855518241071300608 |
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| author | Amarnath, Giriraj Alahacoon, Niranga |
| author_browse | Alahacoon, Niranga Amarnath, Giriraj |
| author_facet | Amarnath, Giriraj Alahacoon, Niranga |
| author_sort | Amarnath, Giriraj |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study attempts to identify the spatial-temporal extent of the agricultural drought in Zambia using remote sensing data and crop production. IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. Also VCI, IDSI and SPI indices were found to be very useful in monitoring the spatial-temporal extent of agricultural and climatic drought in the country. To validate the VCI and SPI based estimates, the correlation between VCI-CYA and SPI-CYA was analyzed and shown to have a strong positive correlation r2 0.72 and 0.68 respectively. The findings of drought hazard analysis could prove to be extremely useful in promoting integrated drought risk management strategies to mitigate the potential impact of drought on the agricultural sector and accelerate adaptation actions. In addition, it provides a robust foundation for decision-makers to recommend disaster preparedness and mitigation measures to minimize the effects of future droughts. |
| format | Informe técnico |
| id | CGSpace128114 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1281142025-03-11T09:50:20Z Drought Monitoring and assessment using earth observation data for Zambia Amarnath, Giriraj Alahacoon, Niranga climate change resilience governance agriculture This study attempts to identify the spatial-temporal extent of the agricultural drought in Zambia using remote sensing data and crop production. IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. Also VCI, IDSI and SPI indices were found to be very useful in monitoring the spatial-temporal extent of agricultural and climatic drought in the country. To validate the VCI and SPI based estimates, the correlation between VCI-CYA and SPI-CYA was analyzed and shown to have a strong positive correlation r2 0.72 and 0.68 respectively. The findings of drought hazard analysis could prove to be extremely useful in promoting integrated drought risk management strategies to mitigate the potential impact of drought on the agricultural sector and accelerate adaptation actions. In addition, it provides a robust foundation for decision-makers to recommend disaster preparedness and mitigation measures to minimize the effects of future droughts. 2022-12-30 2023-01-24T18:46:16Z 2023-01-24T18:46:16Z Report https://hdl.handle.net/10568/128114 en https://hdl.handle.net/10568/121965 Open Access application/pdf International Water Management Institute Giriraj, A. and Amarnath, G. 2022. Drought Monitoring and assessment using earth observation data for Zambia. CGIAR Climate Resilience Initiative. |
| spellingShingle | climate change resilience governance agriculture Amarnath, Giriraj Alahacoon, Niranga Drought Monitoring and assessment using earth observation data for Zambia |
| title | Drought Monitoring and assessment using earth observation data for Zambia |
| title_full | Drought Monitoring and assessment using earth observation data for Zambia |
| title_fullStr | Drought Monitoring and assessment using earth observation data for Zambia |
| title_full_unstemmed | Drought Monitoring and assessment using earth observation data for Zambia |
| title_short | Drought Monitoring and assessment using earth observation data for Zambia |
| title_sort | drought monitoring and assessment using earth observation data for zambia |
| topic | climate change resilience governance agriculture |
| url | https://hdl.handle.net/10568/128114 |
| work_keys_str_mv | AT amarnathgiriraj droughtmonitoringandassessmentusingearthobservationdataforzambia AT alahacoonniranga droughtmonitoringandassessmentusingearthobservationdataforzambia |