OUR TECHNOLOGY VISION
What You Need to Know
Climate-Eyes vision is to build Decision Support System (DSS) to tackle various climate change challenges in water and utilities, forestry and carbon markets, based on Remote-Sensing, Ecology, scalable cloud Software and AI. The cloud based SAAS platform allows planning, decision making, monitoring and verification in multiple climate verticals.
THE SCIENCE AND TECHNOLOGY
BEHIND CLIMATE EYES DSS
Climate-Eyes leverages satellite-based remote sensing as the primary data source, offering a scalable solution for large-scale monitoring. This approach allows us to track water resources across entire regions, including remote and inaccessible areas, without the need for physical presence, ensuring unparalleled scalability and comprehensive coverage.
ECOLOGICAL EXPERTISE AND
FIELD EXPERIENCE
Our deep expertise in ecology provides a solid scientific foundation for interpreting satellite data. By applying ecological knowledge and field experience, we can accurately understand biological processes, correlate the data with ground truth measurements, and deliver meaningful insights.
INTELLIGENCE: AI & CLOUD
Our scalable cloud platform powers the automation of data analysis and information delivery.
By utilizing cloud-based AI and SaaS models, we ensure seamless scalability, enabling efficient processing and dissemination of insights at any scale.
PROPRIEARY ALGORITHMS
Our proprietary algorithms, refined
over decades, deliver highly accurate
remote-sensing analysis. Built on advanced computer vision and GIS technologies, these algorithms are a key differentiator in providing precise, reliable data insights.
ARTIFICIAL INTELLIGENCE
AI is employed for enhanced impact, utilizing technologies like Convolutional Neural Networks (Conv NN) for visual analysis and Deep Neural Networks (Deep NN) for forecasting and early warnings. Future developments include domain-specific generative AI to further elevate insights and predictions.
SCALING MONITORING WITH REMOTE-SENSING,
ECOLOGY, CLOUD AND AI
