On the job training WaPOR for Egypt

WaPORIPA (version 1) github repository

As part of the course, we updated our WaPORWP repository on github, which was developed under the WaPOR phase 2 project (using the WaPORv2 database). The WaPORIPA repository has updated functions using xarray and is able to utilise both WaPORv3 data and pyWaPOR outputs. You can use the current version 1 to calculate the following indicators:

Land and water productivity

• Water consumption (AETI)
• Green and blue water consumption
• Dry biomass production and yield (requires crop type information)
• Water Productivity (biomass and/or crop)

Irrigation performance indicators

• Adequacy compared to Crop Water Requirement
• Beneficial Fraction
• Uniformity
• Relative water deficit

In addition, we have updated the crop and yield gap script from WaPORWP (Module 4).

References:

Chukalla, A.D., Mul, M.L. and Karimi, P., 2024. Establishing the water resources implications for closing the land and water productivity gaps using remote sensing–A case study of sugarcane. Field Crops Research, 318, p.109589.

Links to videos of the online sessions

Video of the 'Introduction to Irrigation Performance Assessment'

Session 16 09 September 2025 - Presentation validation results by participants

Session 17 16 September 2025 - Introduction WaPORIPA github repository

Session 18 30 September 2025 - Presentations WaPORIPA results by the team

Session for the IPA python script and Streamlit dashboard set-up 

Session 19 21 October 2025 Introduction IPA python script by Solomon

Session 20 11 November 2025 Q&A running IPA python script

Session 21 18 November 2025 Q&A running IPA python script

Session 22 06 January 2026 Updated IPA python script

Session 23 20 January 2026 Q&A running updated IPA python script

Session 24 09 February 2026 StreamLit dashboard

Links to codes

Codes to develop a dashboard for Irrigation Performance Assessment Indicators Dashboard for an Irrigation Scheme. The steps to developed the dashboards;

1. download WaPOR data

2. Compute irrigation performance indicators

3. Visualize the indicators using a dashboard

To use the codes, one need to create a python environment with the required packages. Use the requirement.txt file to install the required packages.

Crop map per season is needed to compute the IPA indicators. Corp map processing script is included to process the crop maps. an example dataset (Middle-Delta-Zemam) is included.

Latest codes can be found here