EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation
WEF (water–energy–food) nexus analyses have become a rapidly growing field since the Conference on Water, Energy and Food Security Nexus–Solutions for the Green Economy in Bonn in 2011. They have the potential to help stakeholders and policymakers to better understand the interlinkages between the d...
| Autores principales: | , , , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
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Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/119708 |
| _version_ | 1855525423462481920 |
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| author | Kiala, Z. Jewitt, G. Senzanje, A. Mutanga, O. Dube, T. Mabhaudhi, Tafadzwanashe |
| author_browse | Dube, T. Jewitt, G. Kiala, Z. Mabhaudhi, Tafadzwanashe Mutanga, O. Senzanje, A. |
| author_facet | Kiala, Z. Jewitt, G. Senzanje, A. Mutanga, O. Dube, T. Mabhaudhi, Tafadzwanashe |
| author_sort | Kiala, Z. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | WEF (water–energy–food) nexus analyses have become a rapidly growing field since the Conference on Water, Energy and Food Security Nexus–Solutions for the Green Economy in Bonn in 2011. They have the potential to help stakeholders and policymakers to better understand the interlinkages between the different components of a nexus system and lead to solutions that are socially and environmentally beneficial. However, assembling wide-scope nexus has been challenged by issues such as proprietary considerations and data evolution over time, among others. Earth observations (EOs) have a huge offering of data sets that can provide data for most of the components of a nexus at a relatively low cost and various temporal and spatial resolutions. Furthermore, the advent of cloud computing has made possible the processing of massive information. This chapter introduces the Earth Observation for WEF nexus (EO-WEF), a multisectorial information system to visualize customizable data and generate time series data at any location. Google Earth Engine, a cloud computing platform that includes data archives of regularly updated EO and scientific data sets for a period of more than 40 years, powers this application. The capability of EO-WEF in generating spatial data was tested in the Songwe River Basin case study. Overall, the EO-WEF application provides data for key variables of a nexus that can be supplemented by other kinds of data that cannot be captured by EOs. |
| format | Book Chapter |
| id | CGSpace119708 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1197082025-05-20T05:37:47Z EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation Kiala, Z. Jewitt, G. Senzanje, A. Mutanga, O. Dube, T. Mabhaudhi, Tafadzwanashe water resources energy food security nexus WEF (water–energy–food) nexus analyses have become a rapidly growing field since the Conference on Water, Energy and Food Security Nexus–Solutions for the Green Economy in Bonn in 2011. They have the potential to help stakeholders and policymakers to better understand the interlinkages between the different components of a nexus system and lead to solutions that are socially and environmentally beneficial. However, assembling wide-scope nexus has been challenged by issues such as proprietary considerations and data evolution over time, among others. Earth observations (EOs) have a huge offering of data sets that can provide data for most of the components of a nexus at a relatively low cost and various temporal and spatial resolutions. Furthermore, the advent of cloud computing has made possible the processing of massive information. This chapter introduces the Earth Observation for WEF nexus (EO-WEF), a multisectorial information system to visualize customizable data and generate time series data at any location. Google Earth Engine, a cloud computing platform that includes data archives of regularly updated EO and scientific data sets for a period of more than 40 years, powers this application. The capability of EO-WEF in generating spatial data was tested in the Songwe River Basin case study. Overall, the EO-WEF application provides data for key variables of a nexus that can be supplemented by other kinds of data that cannot be captured by EOs. 2022 2022-05-31T22:20:48Z 2022-05-31T22:20:48Z Book Chapter https://hdl.handle.net/10568/119708 en Limited Access Elsevier Kiala, Z.; Jewitt, G.; Senzanje, A.; Mutanga, O.; Dube, T.; Mabhaudhi, Tafadzwanashe. 2022. EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation. In Mabhaudhi, Tafadzwanashe; Senzanje, A.; Modi, A.; Jewitt, G.; Massawe, F. (Eds.). Water - energy - food nexus narratives and resource securities: a global south perspective. Amsterdam, Netherlands: Elsevier. pp.33-48. [doi: https://doi.org/10.1016/B978-0-323-91223-5.00011-3] |
| spellingShingle | water resources energy food security nexus Kiala, Z. Jewitt, G. Senzanje, A. Mutanga, O. Dube, T. Mabhaudhi, Tafadzwanashe EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title | EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title_full | EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title_fullStr | EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title_full_unstemmed | EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title_short | EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation |
| title_sort | eo wef a earth observations for water energy and food nexus geotool for spatial data visualization and generation |
| topic | water resources energy food security nexus |
| url | https://hdl.handle.net/10568/119708 |
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