WaPOR, remote sensing for water productivity

Date modified: 19 March 2026

Product Overview

Background

WaPOR (the Food and Agriculture Organization (FAO) portal to monitor agriculture Water Productivity through Open access of Remotely sensed derived data) aims to assist partner countries in developing their capacity to monitor and improve water and land productivity in agriculture, both rainfed and irrigated, responding therefore to the challenges that are posed by the dwindling of freshwater resources and the need to sustain agri­cultural production to ensure food security in the face of a changing climate.

WaPOR provides a collection of datasets related to vegetation productivity and water consumption, and associated meteorological and physical conditions such as soil moisture and precipitation. These datasets can be combined with Digital Earth Africa products, services, and workflows for a range of applications including:

  • Monitoring drought conditions

  • Monitoring the water use efficiency of crops

  • Mapping irrigated areas

  • Estimating crop water requirements

  • Irrigation scheduling and budgeting

The applications of WaPOR data go beyond water productivity and agriculture. Any application that would benefit from hydrological information and/or vegetation productivity could use WaPOR data.

Specifications

Spatial and temporal coverage

WaPOR data has three levels:

  1. Global 300m resolution

  2. National 100m resolution (note that this now covers the African continent)

  3. Sub-national 20m resolution

The table below covers L1 and L2 datasets. L3 datasets can be viewed in the WaPOR maps platform which is built with the same software as Digital Earth Africa Maps. L3 datasets cover several regions of interest in northern and eastern Africa. It is recommended that the WaPOR maps platform is inspected to check the availability of level, variable, and temporal frequency combinations for your area of interest. The maps platform also shows map codes in the data description.

Mapset codes are structured as level-variable-temporal frequency as shown below. The temporal frequencies available are:

  • A - annual

  • M - monthly

  • D - dekadal (10 days)

So, for level 3 net primary productivity at dekadal intervals the code is L3-NPP-D.

Table 1: L1 and L2 dataset details.

Mapset Code

Mapset Description

Units

Scale Factor

L1-AETI-A

Actual EvapoTranspiration and Interception (Global - Annual - 300m)

mm/year

0.1

L1-AETI-D

Actual EvapoTranspiration and Interception (Global - Dekadal - 300m)

mm/day

0.1

L1-AETI-M

Actual EvapoTranspiration and Interception (Global - Monthly - 300m)

mm/month

0.1

L1-E-A

Evaporation (Global - Annual - 300m)

mm/year

0.1

L1-E-D

Evaporation (Global - Dekadal - 300m)

mm/day

0.1

L1-GBWP-A

Gross biomass water productivity (Annual - 300m)

kg/m\(^3\)

0.001

L1-I-A

Interception (Global - Annual - 300m)

mm/year

0.1

L1-I-D

Interception (Global - Dekadal - 300m)

mm/year

0.1

L1-NBWP-A

Net biomass water productivity (Annual - 300m)

kg/m\(^3\)

0.001

L1-NPP-D

Net Primary Production (Global - Dekadal - 300m)

gC/m\(^2\)/day

0.001

L1-NPP-M

Net Primary Production (Global - Monthly - 300m)

gC/m\(^2\)/month

0.001

L1-PCP-A

Precipitation (Global - Annual - Approximately 5km)

mm/year

0.1

L1-PCP-D

Precipitation (Global - Dekadal - Approximately 5km)

mm/day

0.1

L1-PCP-E

Precipitation (Global - Daily - Approximately 5km)

mm

0.1

L1-PCP-M

Precipitation (Global - Monthly - Approximately 5km)

mm/month

0.1

L1-QUAL-LST-D

Quality land surface temperature (Global - Dekadal - 300m)

d

1

L1-QUAL-NDVI-D

Quality of Normalized Difference Vegetation Index (Global - Dekadal - 300m)

Number of dekads (D)

L1-RET-A

Reference Evapotranspiration (Global - Annual - Approximately 30km)

mm/year

0.1

L1-RET-D

Reference Evapotranspiration (Global - Dekadal - Approximately 30km)

mm/day

0.1

L1-RET-E

Reference Evapotranspiration (Global - Daily - Approximately 30km)

mm/day

0.1

L1-RET-M

Reference Evapotranspiration (Global - Monthly - Approximately 30km)

mm/month

0.1

L1-RSM-D

Relative Soil Moisture (Global - Dekadal - 300m)

%

0.001

L1-T-A

Transpiration (Global - Annual - 300m)

mm/year

0.1

L1-T-D

Transpiration (Global - Dekadal - 300m)

mm/day

0.1

L1-TBP-A

Total Biomass Production (Global - Annual - 300m)

kg/ha

1

L2-AETI-A

Actual EvapoTranspiration and Interception (National - Annual - 100m)

mm/year

0.1

L2-AETI-D

Actual EvapoTranspiration and Interception (National - Annual - 100m)

mm/day

0.1

L2-AETI-M

Actual EvapoTranspiration and Interception (National - Annual - 100m)

mm/month

0.1

L2-E-A

Evaporation (National - Annual - 100m)

mm/year

0.1

L2-E-D

Evaporation (National - Dekadal - 100m)

mm/day

0.1

L2-GBWP-A

Gross biomass water productivity (Annual - 100m)

kg/m\(^3\)

0.001

L2-I-A

Interception (National - Annual - 100m)

mm/year

0.1

L2-I-D

Interception (National - Dekadal - 100m)

mm/day

0.1

L2-NBWP-A

Net biomass water productivity (Annual - 100m)

kg/m\(^3\)

0.001

L2-NPP-D

Net Primary Production (National - Dekadal - 100m)

gC/m\(^2\)/day

0.001

L2-NPP-M

Net Primary Production (National - Monthly - 100m)

gC/m\(^2\)/month

0.001

L2-QUAL-NDVI-D

Quality of normalized difference vegetation index (National - Dekadal - 100m)

d

1

L2-RSM-D

Relative Soil Moisture (National - Dekadal - 100m)

%

0.001

L2-T-A

Transpiration (National - Annual - 100m)

mm/year

0.1

L2-T-D

Transpiration (National - Dekadal - 100m)

mm/day

0.1

L2-TBP-A

Total Biomass Production (National - Annual - 100m)

kg/ha

1

Technical information

WaPOR products are derived from various complex methods, including surface energy balance models for evapotranspiration and light use efficiency models for primary productivity. Methodology is published and updated with each version release in Peiser et al. (2017), the latest being the version 3 methodology.

References

FAO. 2024. WaPOR methodology: Version 3 release, 2024. Rome.

License

The data is provided free of charge, without restriction of use. For the full license information see the CCA Share-Alike 4.0.

Acknowledgements

Food and Agriculture Organization

Data Acess

Amazon Web Service

Table 2: AWS data acess details.

AWS S3 details

Bucket ARD

s3://wapor-v3//

Bucket

wapor-v3