If you are a software provider dealing with the high cost of manual water data collection — this project developed a scalable EO-based reporting system that automates water productivity mapping. This removes the need for labor-intensive in-situ data.
Satellite-Based Water Productivity Mapping for Large-Scale Sustainable Farming
Imagine trying to track every drop of water on a giant farm by walking the fields with a clipboard; it's slow and expensive. This project uses satellites to do that work from space, acting like a high-tech eye in the sky. It calculates exactly how much water is being used and wasted, helping farmers grow more with less.
What needed solving
Current water productivity reporting in agriculture is too labor-intensive and costly because it relies on manual, local data. This makes it impossible to scale sustainability monitoring across entire regions or continents.
What was built
A scalable water balance toolbox that integrates satellite data with hydrological models to map water productivity and irrigation losses.
Who needs this
Who can put this to work
If you are an auditor dealing with unreliable water usage reports — this project developed a hybrid hydrological model that accounts for irrigation losses. This provides transparent and reliable sustainability indicators for the entire Australian continent.
If you are a manager dealing with worsening droughts in river valleys — this project developed a toolbox for mapping water productivity. It allows for continuous improvement of water use in areas like the Namoi and Murrumbidgee River valleys.
Quick answers
What is the cost or pricing for this system?
Based on available project data, specific pricing for the end-user is not mentioned, though the project received an EU contribution of EUR 998,944 for development.
Can this be used at an industrial scale?
Yes, the project specifically aims to deliver indicators for the entire Australian continent, moving away from labor-intensive local reporting.
How is the IP or licensing handled?
Based on available project data, the specific licensing terms are not listed, but the consortium includes 5 industry partners and SMEs focused on commercial insight.
How does this integrate with existing data?
The system integrates Earth Observation (EO) estimates on irrigation and precipitation with advanced hydrological models to replace or supplement locally sourced inputs.
What is the timeline for deployment?
The project period runs from 2024-11-01 to 2026-10-31.
Who built it
The consortium is heavily weighted toward commercialization, with an 83% industry ratio consisting of 5 industry partners, 4 of which are SMEs. This structure, combined with one university, suggests a strong drive to turn the scientific hydrological modeling into a market-ready product rather than a purely academic exercise.
Contact Water Technology Pty Ltd in Australia
Talk to the team behind this work.
Contact us to explore licensing opportunities for EO-based water mapping.