Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa
This study utilise time series remote sensing data for rainfall, maximum temperature and minimum temperature to investigate the magnitude and significance of spatial-temporal trends over six countries in West Africa. A modified Mann-Kendall test and Theil-Sen's slope are utilised to test the signifi...
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/123566 |
| _version_ | 1855519278046904320 |
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| author | CGIAR Research Program on Maize |
| author_browse | CGIAR Research Program on Maize |
| author_facet | CGIAR Research Program on Maize |
| author_sort | CGIAR Research Program on Maize |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study utilise time series remote sensing data for rainfall, maximum temperature and minimum temperature to investigate the magnitude and significance of spatial-temporal trends over six countries in West Africa. A modified Mann-Kendall test and Theil-Sen's slope are utilised to test the significance and the magnitude of trends respectively for period between 1981 and 2017. June to September rainfall along the Sahel, Sudan and northern Guinea savanna agro-ecological zones revealed a significant increase (0.1 - 3 mm yr -1 ) that peaked in August. Extreme temperatures for period between August and October remained stable while significant positive trend (0.005 - 0.07°C yr -1 ) was observed in rest of months. Areas experiencing significant drying and warming trends are earmarked as priority for targeting appropriate climate smart agricultural technologies. The widespread significant increase of extreme temperatures justifies increased investments in measures to cope with heat stress. |
| format | Informe técnico |
| id | CGSpace123566 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1235662023-03-14T11:48:30Z Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa CGIAR Research Program on Maize climate remote sensing development rural development data temperature drying west africa maps africa trends stress systems heat stress rainfall agrifood systems targeting heat time slope ecological zones countries This study utilise time series remote sensing data for rainfall, maximum temperature and minimum temperature to investigate the magnitude and significance of spatial-temporal trends over six countries in West Africa. A modified Mann-Kendall test and Theil-Sen's slope are utilised to test the significance and the magnitude of trends respectively for period between 1981 and 2017. June to September rainfall along the Sahel, Sudan and northern Guinea savanna agro-ecological zones revealed a significant increase (0.1 - 3 mm yr -1 ) that peaked in August. Extreme temperatures for period between August and October remained stable while significant positive trend (0.005 - 0.07°C yr -1 ) was observed in rest of months. Areas experiencing significant drying and warming trends are earmarked as priority for targeting appropriate climate smart agricultural technologies. The widespread significant increase of extreme temperatures justifies increased investments in measures to cope with heat stress. 2019-12-31 2022-10-06T14:45:44Z 2022-10-06T14:45:44Z Report https://hdl.handle.net/10568/123566 en Open Access application/pdf CGIAR Research Program on Maize. 2019. Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa. Reported in Maize Annual Report 2019. Innovations. |
| spellingShingle | climate remote sensing development rural development data temperature drying west africa maps africa trends stress systems heat stress rainfall agrifood systems targeting heat time slope ecological zones countries CGIAR Research Program on Maize Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title | Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title_full | Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title_fullStr | Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title_full_unstemmed | Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title_short | Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa |
| title_sort | remote sensing maps on climatic trends to improve targeting of climate smart agricultural technologies in west africa |
| topic | climate remote sensing development rural development data temperature drying west africa maps africa trends stress systems heat stress rainfall agrifood systems targeting heat time slope ecological zones countries |
| url | https://hdl.handle.net/10568/123566 |
| work_keys_str_mv | AT cgiarresearchprogramonmaize remotesensingmapsonclimatictrendstoimprovetargetingofclimatesmartagriculturaltechnologiesinwestafrica |