Remotely determine land cover classifications, assess the impact of changing land use on pollution levels, and identify high risk areas.
Water Quality empowers water utilities leaders to remotely monitor issues across entire water catchment areas: remotely, at scale, cost-effectively. It predicts land use change and environmental risk, and it provides sub-catchment insights into how land use impacts pollution levels. Satellite and multiple data feeds combine with advanced AI to track changing issues across watersheds. Use it to identify and dynamically manage diffuse pollution levels resulting from changing land use.
Remotely determine land cover classifications, assess the impact of changing land use on pollution levels, and identify high risk areas.
Use accurate estimates of diffuse pollution loads plus detailed risk maps to inform upstream remediation plans, optimise resources and cut costs.
Use the latest data to optimise decision and engage with landowners to change usage behaviour to continuously reduce pollution risk.
Geospatial AI helps water quality leaders to continuously assess water quality across large catchments cost-effectively. Take advantage of insights that are not available using traditional ground survey methods.
Effective watershed management is vital for water companies to ensure water quality. Just as vital for water companies is being able to identify and mitigate pollution risks, without having to undertake unnecessary amounts of expensive downstream treatment.
Determining the relationship between land use and water quality is key. This is achieved by mapping and monitoring land use and land cover to predict change across landscapes within watersheds.
Until now, water companies have been challenged to map and monitor changing land use and land cover to achieve the level of insight required. Why? Because monitoring across large watersheds with any frequency relies heavily on costly ground resources.
Water Quality geospatial AI remotely monitors water quality issues across wide watersheds. It predicts land use change and environmental risk, and it provides sub-catchment insights into how land use impacts pollution levels. Frequent data updates track changing issues across watersheds. This simply isn’t possible through traditional ground survey methods alone.
In addition, geospatial AI models risk, providing you with the vital insights needed to focus on the highest risk areas and work with landowners to change usage behaviours. By proactively managing upstream pollution risks, means you will reduce the requirement for costly downstream treatment.
All data can be integrated into existing GIS systems, or delivered through our Water SAT solution on the Rezatec platform.
Our team is here to answer your questions. We’re excited to help you explore how geospatial AI can support your business. Just fill out the form and we’ll get back to you.