Real-world solutions and implementations.
The awarded project focused on defining a remotely sensed multi-metric index in a pilot area in Africa (Lake Tanganyka) to provide information on freshwater quality and how it changes over time. The aim is to generate a mechanism, co-designed with local stakeholders and focal points, to determine whether efforts to improve water quality are working, through an indicator that can be obtained at a global scale, using the full potential of applied remote sensing. This indicator is framed within Sustainable Development Goal 6 (SDG – Clean Water and Sanitation), which seeks to achieve improved water quality, wastewater treatment and safe reuse, and specifically in indicator 6.3.2 “Proportion of bodies of water with good ambient water quality”.
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An innovative automated system leveraging Google Earth Engine for biodiversity monitoring and conservation. This solution provides real-time insights into ecosystem health and biodiversity patterns.
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A comprehensive water quality monitoring system for Nairobi River using advanced geospatial technologies and real-time data processing to track environmental changes and water quality metrics.
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An innovative automated system leveraging Google Earth Engine for biodiversity monitoring and conservation. This solution provides real-time insights into ecosystem health and biodiversity patterns.
Learn MoreReal-time tracking and analysis of water quality parameters using advanced sensor networks and data analytics.
Comprehensive geospatial data processing and analysis using Google Earth Engine and remote sensing technologies.
Automated data pipelines for efficient collection, processing, and analysis of environmental and geospatial data.