WaPOR data

WaPOR, FAO’s portal to monitor Water Productivity through Open access of Remotely sensed derived data, monitors and reports on agriculture water productivity over Africa and the Near East.
Water productivity assessments and other computation–intensive calculations are powered by Google Earth Engin

WaPOR data is available to users at 3 different levels corresponding to different resolutions at which different applications for the data are possible.
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Level I |
global level |
300 m resolution |
At level I, water productivity is monitored in terms of biomass production per hectare per cubic meter of water consumed. A distinction is made between irrigated and rainfed agriculture. Land and water productivity are calculated on pixel basis, which can be aggregated to country or river basin level.
The WaPOR database provides the following data layers:
![]() | Evapotranspiration Land Cover Classification Net Primary Productivity Precipitation Phenology Quality layers Reference evapotranspiration Relative soil moisture Total Biomass Production Water Productivity |
Consult the catalogue for more information, or the WaPOR data and methodology wiki.
For more information about how the different layers can be used, consult the applications catalogue where the entries are sorted according to the data layers used.
The three levels of WaPOR data are available for different areas

![]() | The global level (300m resolution) that covers the entire globe. | |
![]() | The continental and national / river basin level (100 m ground resolution) Northern and sub-Saharan Africa and the Near East (roughly a square of -30W, -40S, 65E, 40N) |
The irrigation scheme and sub-basin (20 m ground resolution) available for these areas:
* no WaPOR V3 data available
** upon release of V3, the near real time data production for these areas stopped
⚠️ Note: this is the list of level 3 areas as of July 2024. For a list that is guaranteed to be updated, please consult the WaPOR data catalogue in the portal.
| Algeria | Mitidja | ||
| Colombia | Valle del Cauca (soon, in mid-2025) | ||
| Magdalena | |||
| Egypt | Northern Egypt (Nile Delta) | ||
| Zankalon * | |||
| Ethiopia | Awash | ||
| Koga ** | |||
| Iraq | West Gharraf | ||
| Erbil | |||
| Najaf | |||
| Jordan | North Jordan Valley | ||
| Shoubak and Jafr | |||
| Kenya | Busia ** | ||
| Mwea | |||
| Tana and Bura | |||
| Lebanon | Bekaa ** | ||
| Libya | Fezzan region | ||
| Tarhona region | |||
| Waddan region | |||
| Mali | Office du Niger | ||
| Morocco | Moulay Bousselham | ||
| Mozambique | Baixo Limpopo | ||
| Lamego ** | |||
| Pakistan | Khanewal | ||
| Sanghar | |||
| Palestine | Jericho | ||
| Rwanda | Lower Akagera ** | ||
| Muvumba catchment ** | |||
| Yanze catchment ** | |||
| Senegal | Senegal River Delta | ||
| Sri Lanka | Malwathu Oya West Sub Catchment ** | ||
| Sudan | Gezira | ||
| Tunisia | Jendouba | ||
| Kairouan | |||
| Vietnam | Tay Nguyen | ||
| Yemen | Sanaa basin |
WaPOR data is made available at different frequencies, depending on the data layer and the resolution in question.
For example, Actual Evapotranspiration and Interception is is made available annually, monthly and dekadally (every 10 days) at all resolutions, whereas Land Cover Classification is made available every 10 days at 20m resolution and annually at 100m and 200m. Gross Biomass Water Productivity is always made available seasonally.
Available temporal resolutions are:
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Consult the catalogue for more information, or the WaPOR data and methodology wiki.
Latency refers to the time delay between the end of a measurement period and when the corresponding data becomes available for use. For WaPOR, this encompasses both the initial data processing time (including the time required for input satellite products to become available) and subsequent quality improvements.
It starts at the finest temporal resolution. WaPOR dekadal data layers follow a two-stage release process:
- the release of the near real-time (NRT) version: which happens a few days after the end of each dekad; and
- the replacement of the NRT version with the final version of the dataset: which occurs after a few dekads have passed, incorporating additional data observations for improved gap filling and interpolation.
This staged approach has cascading effects on temporal aggregations: monthly, seasonal and annual.
For detailed and updated latency information, please consult the metadata on the WaPOR portal, by:
- Clicking on explore data
- Choosing your dataset (WaPOR v3 in the animation)
- Choosing the spatial resolution of interest (National in the animation)
- Choosing the layer of interest (Monthly AETI in the animation)
- Scrolling the metadata to find the latency information.




