Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin
The research explores an Earth Observation (EO) application with the enterprise Green Keeper Africa (GKA) based in Cotonou, Benin, that addresses the management of an invasive plant species that threatens economic activities such as fishing, transportation and irrigation. GKA pays local community me...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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International Astronautical Federation
2021
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| Online Access: | https://hdl.handle.net/1721.1/131218 |
| _version_ | 1811090942710513664 |
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| author | Ovienmhada, Ufuoma Fatoyinbo, T Lagomasino, D Mouftaou, F Ashcroft, E Lombardo, Seamus(Seamus Joseph Holt) Wood, Danielle |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Ovienmhada, Ufuoma Fatoyinbo, T Lagomasino, D Mouftaou, F Ashcroft, E Lombardo, Seamus(Seamus Joseph Holt) Wood, Danielle |
| author_sort | Ovienmhada, Ufuoma |
| collection | MIT |
| description | The research explores an Earth Observation (EO) application with the enterprise Green Keeper Africa (GKA) based in Cotonou, Benin, that addresses the management of an invasive plant species that threatens economic activities such as fishing, transportation and irrigation. GKA pays local community members to harvest the water hyacinth and transform it into a product that absorbs oil-based waste. The EO application is an online observatory and decision support tool that utilizes satellite, aerial and ground data to map the location of the water hyacinth and a fish farming practice known as “acadja” over time, providing valuable information for government, private and public users. The acadja analysis is relevant due to the adverse effects on water quality that the practice results in. This paper is a follow up on the work presented in the 2019 contribution to IAC session B1.5 by the authors. New research in this paper includes (i) improved and validated remote sensing algorithms for monitoring water hyacinth extent, (ii) trend analysis and forecasting of water hyacinth growth with other environmental data sets, (iii) improved and validated remote sensing algorithms for identifying and quantifying acadja and (iv) analysis of water quality parameters describing the coastal ecosystem. |
| first_indexed | 2024-09-23T14:54:26Z |
| format | Article |
| id | mit-1721.1/131218 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:54:26Z |
| publishDate | 2021 |
| publisher | International Astronautical Federation |
| record_format | dspace |
| spelling | mit-1721.1/1312182022-09-29T11:22:37Z Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin Ovienmhada, Ufuoma Fatoyinbo, T Lagomasino, D Mouftaou, F Ashcroft, E Lombardo, Seamus(Seamus Joseph Holt) Wood, Danielle Massachusetts Institute of Technology. Media Laboratory Massachusetts Institute of Technology. Department of Aeronautics and Astronautics The research explores an Earth Observation (EO) application with the enterprise Green Keeper Africa (GKA) based in Cotonou, Benin, that addresses the management of an invasive plant species that threatens economic activities such as fishing, transportation and irrigation. GKA pays local community members to harvest the water hyacinth and transform it into a product that absorbs oil-based waste. The EO application is an online observatory and decision support tool that utilizes satellite, aerial and ground data to map the location of the water hyacinth and a fish farming practice known as “acadja” over time, providing valuable information for government, private and public users. The acadja analysis is relevant due to the adverse effects on water quality that the practice results in. This paper is a follow up on the work presented in the 2019 contribution to IAC session B1.5 by the authors. New research in this paper includes (i) improved and validated remote sensing algorithms for monitoring water hyacinth extent, (ii) trend analysis and forecasting of water hyacinth growth with other environmental data sets, (iii) improved and validated remote sensing algorithms for identifying and quantifying acadja and (iv) analysis of water quality parameters describing the coastal ecosystem. 2021-08-31T13:38:41Z 2021-08-31T13:38:41Z 2020-01 2021-08-24T13:21:48Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/131218 Ovienmhada, Ufuoma et al. "Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin." Proceedings of the International Astronautical Congress (January 2020): 58835. © 2020 The Authors en http://iafastro.directory/iac/paper/id/58835/summary/ Proceedings of the International Astronautical Congress Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf International Astronautical Federation Prof. Wood via Elizabeth Soergel |
| spellingShingle | Ovienmhada, Ufuoma Fatoyinbo, T Lagomasino, D Mouftaou, F Ashcroft, E Lombardo, Seamus(Seamus Joseph Holt) Wood, Danielle Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title | Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title_full | Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title_fullStr | Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title_full_unstemmed | Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title_short | Using earth observation data to inform community management of invasive plants and traditional fishing practices on Lake Nokoué in Benin |
| title_sort | using earth observation data to inform community management of invasive plants and traditional fishing practices on lake nokoue in benin |
| url | https://hdl.handle.net/1721.1/131218 |
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