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View from a vehicle driving on a dirt road in a rural area with houses and people visible alongside the road

Collecting Street-Level Imagery in Mozambique to Advance Sustainable Development and Humanitarian Logistics

HeiGIT and Data4MOZ have launched a collaboration to collect street-level…
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Map with a red route line and a photo of a disaster area with collapsed buildings and rubble

Dynamic routing for disaster response in Venezuela

Following the catastrophic earthquakes in Venezuela on June 24, 2026,…

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Outdoor event with people walking near white tents and a laptop showing a computer vision interface on a table indoors with people in the background

A Computer Vision Workshop with Tomorrow’s Mappers

At Explore Science 2026, young students experimented with computer vision…
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Group of people outdoors looking at a map and a hexagonal inset showing a digital map with highlighted zones

Sketch Map Tool use-case in the EVCA context 

The Colombian Red Cross’s Disaster Risk Management (DRM) team works…

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Text panel with the title 'Filling In The World Map With Street-Level Imagery and Deep Learning MapSwipe and Hug-a-Panorama' alongside two inset images showing a street scene with highlighted areas and a heatmap over a landscape.

Filling In The World Map With Street-Level Imagery and Deep Learning: MapSwipe and Hug-a-Panorama

HeiGIT has been working with deep learning models and street-level…

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Aerial view of a flooded road with buildings and palm trees alongside text about dynamic routing for disaster response and integrating earth observation into humanitarian logistics systems

Dynamic Routing for Disaster Response: Integrating Earth Observation into Humanitarian Logistics Systems

As disasters grow more frequent and complex, the REER project…
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Water surface with plants in the foreground and agricultural field

New Paper “From Flood Risk to Caloric Loss: Compound Flood Impacts on Agriculture in Madagascar”

This study is based on Celina Thomé’s master thesis. It…
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Weltkarte mit farblich markierten Regionen und Text 'Global Data on Healthcare and Education Accessibility with OpenAccessLens' neben einer sitzenden Person an einem Tisch mit Schreibmaterial.

Global Data on Healthcare and Education Accessibility with OpenAccessLens

The new OpenAccessLens platform provides open, global data on accessibility…
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Text: Building a Global GIS Learning Community for the Red Cross and Red Crescent Movement Photo: A woman with a Red Cross uniform, seen from behind, working at a computer and looking at a colorful map on the screen

Building a Global GIS Learning Community for the Red Cross and Red Crescent Movement

In 2023, a shared vision emerged to make geospatial skills…

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Three girls in school uniforms with backpacks and red hair ribbons walking on a rural dirt path.

A map is better than a thousand words: global data reveals gaps in access to education and healthcare

Numbers alone do not show whether a child can reach…

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Dense hillside settlement with many small brick houses and some vegetation in the foreground

Strengthening national risk management using the Sketch Map Tool in Colombia

The Sketch Map Tool was strategically used within Colombia’s National…

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Map of Somalia with color-shaded regions and text 'Open Risk Assessment Datasets for easier humanitarian action'

Open Risk Assessment Datasets for Easier Humanitarian Action

New open, ready-to-use global risk assessment datasets can simplify risk…
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Man in red sweater presenting a map on a large screen in a training room with tables and chairs, alongside an inset of a medical professional in uniform with a stethoscope.

GIS Training to Strengthen Public Health and Outbreak Response

Geospatial analysis is critical for public health challenges such as…
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Text reading 'Sketch Map Tool update integration with OpenAerialMap' with logos of SketchMapTool and HeiGIT, and a satellite aerial map section.

OpenAerialMap integration with the Sketch Map Tool launches a new way of Mapping

The latest update to the Sketch Map Tool introduces a…
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Image on the right: © sig_3co, Panoramax; Figure on the left illustrates the workflow and challenges of extracting road attributes from 3-4m PlanetScope imagery.

New Global Satellite Dataset for Humanitarian Routing and Tracking Infrastructure Change

A new global dataset released by the HeiGIT (Heidelberg Institute…

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Streetscape Intelligence: GeoAI at Eye Level

Streetscape Intelligence: GeoAI at Eye Level

Crowdsourced street-level imagery can be used to detect and map…

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