Register
"*" indicates required fields

This ITU report examines how AI is strengthening each stage of the early warning cycle, from risk knowledge to preparedness, through five real world deployments including Tonga, Liberia, and Colombia. It pairs well with NASA Lifelines' own GeoAI for Humanitarian Action report, which explores the same trust and adoption barriers across the full crisis lifecycle.

This Devex article features AF-PULSE, a GeoAI platform used by the UN World Food Programme to track risks to food supply chains across Afghanistan and inform more effective and efficient humanitarian aid delivery.

This report from Hamish William Patten and NASA Lifelines Advisor Zineg Bhaby unpacks the critical function that statistics can serve in natural disaster response. Their recently published report lays out statistical methods as a foundation for humanitarian analysis and identifies the gaps where future applications can improve preparation for and response to disasters.

The State of Open Humanitarian Data 2026 from OCHA assesses data availability across humanitarian crises using the HDX Data Grids framework. The report details what open data exists by location and category, helping practitioners and decision makers identify gaps in the information landscape for crisis response.

A new Handbook on Remote Sensing for Agricultural Statistics has been released by the United Nations Food and Agriculture Organization. With contributions from NASA Harvest, this Handbook sets standards for how satellite-derived agricultural data and insights should be produced and documented, alongside the tools used to generate it.

Common Space's Seeing What Matters report presents findings from a global survey assessing demand for an openly licensed, community-tasked satellite mission dedicated to capturing data for humanitarian action. The report helps define where, when, and how high-resolution satellite imagery is needed to serve public interests.

The GeoAI for Humanitarian Action report explores how artificial intelligence and satellite data can strengthen humanitarian decision-making, while identifying the practical barriers that limit adoption. Drawing on community insights, it outlines strategies to build partnerships, tools, and programs that help humanitarian organizations translate GeoAI innovations into real-world impact.

NASA Lifelines Fellows Barira Rashid, Aryanna Khan, and Rufai Balogun represented the program at AGU 2025 in New Orleans, demonstrating how Earth science, GeoAI, and community-centered approaches can strengthen humanitarian decision-making

NeMO-Net is an interactive citizen-science game to assist in coral reef classification by training a neural network to advance ecosystem mapping. It utilizes high-resolution data from NASA FluidCam, which captures images of underwater environments from above the surface.

NASA Earthdata GIS releases flood mapping and satellite data products to support analysis of the Washington Atmospheric River floods that occurred early to mid December of 2025. This data provides geospatial insights into precipitation, as well as impacts to communities and infrastructure.