Water productivity analyses using WaPOR
| dc.coverage | Ethiopia | |
| dc.coverage | Mozambique | |
| dc.creator | FAO | |
| dc.date | 2023-04-27T13:44:57Z | |
| dc.date | 2023-04-27T13:44:57Z | |
| dc.date | 2022 | |
| dc.date | 2023-02-28T11:24:23.0000000Z | |
| dc.date.accessioned | 2026-06-27T20:14:42Z | |
| dc.description | This document explores the use of WaPOR data, which is derived from remotely-sensed data, in the context of sugarcane production. Two different case studies of sugarcane estates are explored: the case of Wonji, in Ethiopia, and the case of Xinavane, in Mozambique. In these two estates, the data was used to identify areas of high and low land and water productivity in order to try to understand the causes for the variations as well as understand the results and implications of increasing these productivities to match the areas of the estates that perform best, which can be considered as local targets. | |
| dc.format | 8p. | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/CB8833EN | |
| dc.identifier | http://www.fao.org/3/cb8833en/cb8833en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/188649 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | FAO | |
| dc.title | Water productivity analyses using WaPOR | |
| dc.title | The case of sugarcane | |
| dc.type | Brochure, flyer, fact-sheet |