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Trees From Above

AI Climate.

A program of the Institute for International Urban Development

 for climate resilience

a decision-making tool 

With support of the Patrick J. McGovern Foundation Accelerator Grant we are working to advance the AI Climate Algorithms


Fishing village


AI tool 

machine learning  

 detects, monitors, predicts 

AI Climate is a decision making/mapping tool for climate-resilience planning geared to secondary and tertiary cities and their regions which lack data at the local level and have limited technical capacity and resources. It uses machine learning (ML) technology that processes geospatial imagery and geo-referenced datasets, deriving data in the form of analytics-ready-layers such as impacts of flooding, landslides, land degradation, and others specific to the region.


with and for  


in the global south

 vulnerable communities 

With these layers, AI Climate maps, monitors, and assesses climate change-related impacts in fast urbanizing cities while identifying and focusing on the poorer, most vulnerable communities within them.

The AI Climate platform is easy and ready to use, faster, and cheaper to update compared to traditional methods. Thus freeing funds to build resilience in cities and communities in an easier scalable way.  AIClimate has a strong community data validation and participation component.


Arusha meeting Kiranyu Ward.png

 Credit I2UD Dr. Mona Serageldin Arusha - Ward Meetings 2016

Screen Shot 2022-01-27 at 10.23.40 PM.png

Courtesy Google Earth - 3D used as base to compose this graphic


and beyond

The final output is an up-to-date flood-risk heat map applicable to the city and its region, featuring the footprints of socially vulnerable areas. It also includes landslides and land value grid map.  Since both flooding and informal settlements are moving targets, it is imperative that we understand the proximate future in fast urbanizing cities. 
Most importantly, this tool is complemented by a user-centered community process for co-creation of local flooding maps, a scenario-planning and co-design of equitable interventions to mitigate their exposure to climate change hazards. 

For more information contact: Alejandra Mortarini or Carlos Rufin

deep neural networks




Patrick J. McGovern Foundation  Accelerator Program

 The Patrick J. McGovern Foundation has named 10 climate action organizations around the world to the 2022 Accelerator Grant Program to advance their

use of data and AI for impact. We are proud and honored  to be one of these 10 organizations.




AI for Earth

AI for Earth

Microsoft and the National Geographic Society (NGS) partnered to support projects using AI to address environmental challenges in the areas of biodiversity, climate change, water, and agriculture. We are grateful to be among those awarded. 



Institute for International Urban Development

Our initial investment allowed us to proceed with a proof of concept (PoC) focused on river/rain flooding in two cities in Honduras, which we completed in 2021 together with our technology and scientist collaborators in Honduras. The PoC showed that ML algorithms can identify river/rain flooding risks and socially vulnerable communities.



2020 World Bank Conference
Paper on Land and Poverty

To explore our AI Climate idea, we developed a concept paper accepted for presentation at the 2020 World Bank Land and Poverty Conference.


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