The Xylem Institute - Translating Climate Data into Community Protection

Satellite AI for Resilience

We bridge the gap between satellite Earth observation and AI technology and policy action, translating climate intelligence into real-world protection through institutional capacity building.

The Translation Gap

Advanced climate data, AI models, computational methods, and processing power exist, but communities remain vulnerable. The problem isn't better algorithms or more compute—it's building the institutional capacity that translates climate intelligence into policy interventions and early action systems.

Billions

Invested in climate data systems globally

Massive Gap

Between data availability and community protection

Critical Need

For institutional capacity to translate data into action

Our Focus

Building systems that turn predictions into protection

Our Translation Tools

We develop systems that connect climate intelligence to policy action, each designed to strengthen the institutional capacity that protects communities.

EO-NAM

Earth Observations for National Agriculture Monitoring framework that makes satellite data accessible to policy makers, enabling evidence-based decisions for agricultural interventions and food security planning.

EO-NAM Framework Overview
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Helmets

Ground-truth collection system using helmet-mounted cameras to create training datasets for agricultural monitoring. Supports the translation of satellite data into actionable crop mapping and yield forecasting.

Helmets Data Collection Workflow
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RootSense

Agricultural drought early warning system that translates soil moisture monitoring into actionable alerts for district analysts, enabling proactive interventions before drought impacts communities.

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FloodSense

Rapid flood mapping and impact assessment system that provides emergency coordinators with actionable intelligence within hours of flooding, enabling faster response and resource allocation.

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How We Build Translation Capacity

We invest in the institutional infrastructure that turns climate intelligence into policy action, creating the systems that protect communities when climate strikes.

🔗 Data-to-Action Translation

Transform complex climate and agricultural data into clear, actionable guidance that decision-makers can immediately implement.

🏛️ Institutional Capacity Building

Train local analysts, coordinators, and officials to effectively interpret and act on climate intelligence within their existing workflows.

🌐 Multi-Level Communication Systems

Design and implement information pathways that connect global data sources to regional policy makers and local implementers.

⚙️ Implementation Support

Provide ongoing technical assistance to ensure climate insights actually translate into policy interventions and community responses.

📈 Impact Tracking & Learning

Monitor whether data insights lead to real-world outcomes and continuously improve translation processes based on results.

🤝 Stakeholder Coordination

Facilitate relationships between data providers, policy makers, and implementers to create seamless information-to-action pipelines.

Partner With Us

Join us in building the institutional capacity that transforms climate intelligence into community protection.

💰 Fund Translation Infrastructure

Support the development of institutional capacity and communication systems that turn climate data into policy interventions and community protection.

Explore Funding

📈 Scale Proven Systems

Help us expand our translation tools and capacity building programs to new regions, multiplying the impact of climate intelligence.

Scale Impact

🚀 Deploy Our Tools

Implement our EO-NAM, Helmets, RootSense, and FloodSense systems in your region to strengthen local climate response capacity.

Deploy Systems

🌍 Join TXI Circle

Become part of our community of practitioners working to bridge the gap between climate science and community protection.

Join our TXI Circle

🔬 Visit Xylem Lab

XylemLab's NASA funded research develops cutting-edge geospatial methods using satellite technology and machine learning for comprehensive environmental monitoring and climate analysis.

Visit Xylem lab
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