Natural Resources Management
The Research Revolution No One Taught You About
6:15
ITC
Natural Resources ManagementThe Research Revolution No One Taught You About
In this video, we'll introduce you to a 'living lab' where scientists and citizens come together to explore big questions around food,…Duren, I.C. van 6:15
Disaster Risk12 challenges in protecting displaced people from flood risk
Recent research sought to identify the main challenges in reducing the risk and impact of floodings on displaced people.Adapted by Ottevanger, M. 7 min
- Disaster Risk
How do volcanoes trigger tsunamis?
Volcanic eruptions often have far-reaching consequences, both in their impact and geographical extent. A deeper understanding of the complex processes that cause such events can enable more accurate hazard forecasting while improving preparedness and mitigation strategies.
Complex and dangerous
Volcanic activity can also trigger multiple hazards.
…Adapted by Ottevanger, M. 6 min
- Artificial Intelligence
GeoVodcast #1: Spatial Inequalities in Deprived Urban Areas
Welcome to the first episode of the Geoversity Video Podcast! In this episode, host Brad Hillas speaks with Professor Monika Kuffer from the Faculty of Geoinformation Science and Earth Observation at the University of Twente about her work in urban planning, geospatial data, and its connection to the Sustainable Development Goals (SDGs).
Professor…
Kuffer, M. 34:21
Staff picks
Disaster Risk
How can explainable AI contribute to natural hazard prediction?
What is explainable AI?
Explainable AI is a very recent development in artificial intelligence. It deals with tools typically belonging to the family of AI, such as deep learning, that become so complex that they cannot be easily interpreted. Explainable AI is a post-processing tool that is put to work after a machine learning model, typically a …
Explainable AI is a very recent development in artificial intelligence. It deals with tools typically belonging to the family of AI, such as deep learning, that become so complex that they cannot be easily interpreted. Explainable AI is a post-processing tool that is put to work after a machine learning model, typically a …
3 min
Recent stories
Disaster Risk12 challenges in protecting displaced people from flood risk7 min
Disaster RiskHow do volcanoes trigger tsunamis?6 min
Artificial IntelligenceGeoVodcast #1: Spatial Inequalities in Deprived Urban Areas34:21
Artificial IntelligencePodcast: Spatial Inequalites in Deprived Urban Areas2 min
Artificial IntelligenceHow do glaciers behave in a warming climate?6 min
Disaster RiskFire hazard in informal settlements: should I stay or should I go?7 min
Disaster RiskEthics and disaster management8 min
Disaster RiskWhat is the Wet-Bulb Globe Temperature?5 min
Disaster RiskWhat is the social and mental health impact of flooding on older adults?4 min
Disaster RiskWhat is geospatial auditing of public funds?5 min
Disaster RiskPredicting floods in real time4 min
GeohealthWater and health insecurity among urban homeless communities7 min
GeohealthWater, health and decisions: the impact of extreme weather5 min
Disaster RiskThe power of impact-based weather forecasting7 min
Spatial Data ScienceSpatial autocorrelation and its importance in Earth observation5 min
Disaster RiskCoping with the most underestimated natural hazard7:51
Disaster RiskState-of-the-art modelling may help anticipate landslides5:12
UAVUAVs are revolutionising disaster resilience5 min
Disaster RiskWhat is dynamic landslide susceptibility?5 min
Disaster RiskExplainable AI in Natural Hazard Monitoring4 min
Disaster RiskHow can explainable AI contribute to natural hazard prediction?3 min
Remote SensingSAR Tomography: How to reveal the diverse world beneath the forest canopy3 min
Climate ChangeUsing hyperspectral remote sensing to predict droughts5 min