Status of irrigated area in the Limpopo River Basin: July 2024
In July 2024, the Limpopo River Basin (LRB) area under irrigated agriculture was mapped using a machine learning approach within Google Earth Engine (GEE). The total area actively irrigated in July 2024 was about 172,028 ha. The average, maximum, and minimum crop water consumption (Actual Evapotra...
| Autores principales: | , |
|---|---|
| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
International Water Management Institute
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/155296 |
| _version_ | 1855514481588699136 |
|---|---|
| author | Kiala, Zolo Matheswaran, Karthikeyan |
| author_browse | Kiala, Zolo Matheswaran, Karthikeyan |
| author_facet | Kiala, Zolo Matheswaran, Karthikeyan |
| author_sort | Kiala, Zolo |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In July 2024, the Limpopo River Basin (LRB) area under irrigated agriculture was mapped using a machine learning approach within Google Earth Engine (GEE).
The total area actively irrigated in July 2024 was about 172,028 ha.
The average, maximum, and minimum crop water consumption (Actual Evapotranspiration) water used by irrigated agriculture within the basin was 57.3, 141, and 30 mm/month, respectively.
The irrigated crop water consumption of the LRB for July 2024 was 136.4 million m3.
The Crocodile sub-basin in the LRB showed the largest irrigated extent of 37,223 ha (with corresponding crop water consumption of 30.3 million m3) in July 2024. |
| format | Brief |
| id | CGSpace155296 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1552962025-11-07T08:00:30Z Status of irrigated area in the Limpopo River Basin: July 2024 Kiala, Zolo Matheswaran, Karthikeyan irrigated farming crop water use water use transboundary waters rainfall drought machine learning models precipitation irrigated land evapotranspiration In July 2024, the Limpopo River Basin (LRB) area under irrigated agriculture was mapped using a machine learning approach within Google Earth Engine (GEE). The total area actively irrigated in July 2024 was about 172,028 ha. The average, maximum, and minimum crop water consumption (Actual Evapotranspiration) water used by irrigated agriculture within the basin was 57.3, 141, and 30 mm/month, respectively. The irrigated crop water consumption of the LRB for July 2024 was 136.4 million m3. The Crocodile sub-basin in the LRB showed the largest irrigated extent of 37,223 ha (with corresponding crop water consumption of 30.3 million m3) in July 2024. 2024-09-10 2024-10-10T08:16:48Z 2024-10-10T08:16:48Z Brief https://hdl.handle.net/10568/155296 en Open Access application/pdf International Water Management Institute Kiala, Zolo; Matheswaran, Karthikeyan. 2024. Status of irrigated area in the Limpopo River Basin: July 2024. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 5p. |
| spellingShingle | irrigated farming crop water use water use transboundary waters rainfall drought machine learning models precipitation irrigated land evapotranspiration Kiala, Zolo Matheswaran, Karthikeyan Status of irrigated area in the Limpopo River Basin: July 2024 |
| title | Status of irrigated area in the Limpopo River Basin: July 2024 |
| title_full | Status of irrigated area in the Limpopo River Basin: July 2024 |
| title_fullStr | Status of irrigated area in the Limpopo River Basin: July 2024 |
| title_full_unstemmed | Status of irrigated area in the Limpopo River Basin: July 2024 |
| title_short | Status of irrigated area in the Limpopo River Basin: July 2024 |
| title_sort | status of irrigated area in the limpopo river basin july 2024 |
| topic | irrigated farming crop water use water use transboundary waters rainfall drought machine learning models precipitation irrigated land evapotranspiration |
| url | https://hdl.handle.net/10568/155296 |
| work_keys_str_mv | AT kialazolo statusofirrigatedareainthelimpoporiverbasinjuly2024 AT matheswarankarthikeyan statusofirrigatedareainthelimpoporiverbasinjuly2024 |