Water Productivity Improvement in Practice

Tools and Publications

Here you can find all the tools and publications developed by the WaterPIP Project Team. Feel free to have a look around and apply them in your own case studies!

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WaPORACT Toolbox

WaPORACT is an open-access tools to extract, interpret, analyse and visualize geodata to improve water productivity. WaPORACT supports the development of customized geodata services in Africa and the Near East. It is a suite of Python tools to retrieve, aggregate, analyze, visualize and disseminate FAO WaPOR water productivity data. The complete toolbox is available open-access at Github and provides the building blocks for customized tool development to target specific user needs.

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Operational framework to predict field level crop biomass using remote sensing and data driven models

An operational framework was developed to predict field crop biomass using high resolution multi-source satellite data. Five regression algorithms were tested to assess their suitability to predict field scale sugarcane biomass production in teh Wonji-Shoa estate, Ethiopia. The results showed that linear regression models outperformed non-linear machine learning models with 89% accuracy achieved 4 months before harvest. The full paper can be accessed here .

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Translating open-source remote sensing data to crop water productivity improvement actions

This study presents a framework to translate RS based WP data to actionable information. Six factors (crop water stress, irrigation uniformity, soil salinity, nitrogen application, crop rotation and soil type) derived from RS were analysed to identify their influence on WP and yield. Such information with regard to WP factors assists practitioners to identify priority areas and actions aiming at crop field level WP improvement. Read more here.

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A Framework for Irrigation Performance Assessment Using WaPOR data: The case of a Sugarcane Estate in Mozambique

This study presents a framework that applies WaPOR data to assess irrigation performance indicators including uniformity, equity, adequacy and land and water productivity differentiated by irrigation method (furrow, sprinkler and centre pivot) at the Xinavane sugarcane estate, Mozambique. You can view the preprint of the article on the HESS webpage.

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Standardized Protocol for Land and Water Productivity Analyses using WaPOR

This standardized protocol provides Python scripts which can be used to calculate land and water productivity and other performance indicators such as uniformity, efficiency (beneficial fraction), adequacy, relative water deficit as well as estimating productivity gaps. Go to the Github repository to view and download the Jupyter Notebooks with the protocol.

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Drought Observe (beta-version)

This web map created using Google Earth Engine provides near-real-time drought monitoring for Africa using FAO WaPOR datasets. Take a look at the web map and read more about how Drought Observe can help promote improved water productivity.

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Change in agricultural indicators 2009-2020 (beta-version)

This web-based app provides the average value of six agricultural indicators over the period 2009-2020 and the percentage change over the period based on WaPOR data. You can find the web-based application here.