A community-driven agroecological restoration of a dam through GIS and Remote Sensing integration
| dc.coverage | Angola | |
| dc.creator | Kussumua, S.; Caela, J.; Jalal, R.; Sinela, A.; Mutumba, F.; André, N.; Miápia, L.; Pakissi, C.; Henry, M.; | |
| dc.date | 2024-03-16T01:18:13Z | |
| dc.date | 2024-03-16T01:18:13Z | |
| dc.date | 2024 | |
| dc.date | 2024-02-20T10:12:38.0000000Z | |
| dc.date.accessioned | 2026-06-28T01:14:55Z | |
| dc.description | The case study illuminates the diverse advantages stemming from the strategic utilization of GIS and remote sensing in water harvesting. These technologies empowered precise decision-making, resulting in expanded agricultural productivity across 26 hectares and effective disaster mitigation strategies. Additionally, they fostered sustainable practices such as agroforestry, culminating in an elevated commitment of Ngunga community to environmental stewardship. Ultimately, this fusion of technologies significantly strengthened community resilience, bringing in comprehensive socio-economic development | |
| dc.format | 3p. | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/CC9438EN | |
| dc.identifier | http://www.fao.org/3/cc9438en/cc9438en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/331408 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | FAO | |
| dc.title | A community-driven agroecological restoration of a dam through GIS and Remote Sensing integration | |
| dc.type | Brochure, flyer, fact-sheet |