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Amateur Drone Videos Could Aid in Natural Disaster Damage Assessment
Natural disaster damage assessment
amateur drone videos
artificial intelligence
Carnegie Mellon University
2020-09-29
Abstract A team of CMU researchers are using AI to develop a system that automatically identifies buildings in drone footage of na...
Memorandum of Understanding is signed between DRRKS and IRDR IPO
The Memorandum of Understanding
Disaster Risk Reduction Knowledge Service
Integrated Research on Disaster Risk
2020-08-31
Abstract On August 7th, 2020, the Memorandum of Understanding (the MoU) is signed between the Disaster Risk Reduction Knowledge S...
ANNOUNCEMENT: Launch of a Quick Risk Estimation Tool to help small businesses understand their risk
Drought
Earthquake
Cyclone
2020-08-31
Abstract BANGKOK – The UN Office for Disaster Risk Reduction (UNDRR) launched an online Quick Risk Estimation (QRE) Tool to help ...
Detecting and responding to incidents with images
Artificial intelligence
computer vision model
images
social media
MIT
2020-08-31
Abstract At the upcoming European Conference on Computer Vision (ECCV) conference, researchers from MIT and QCRI are presenting a ...
Disaster Risk Reduction Knowledge Service Platform Released Scientific Data Catalog
Disaster Risk Reduction Knowledge Service
scientific data
2020-08-28
Disaster Risk Reduction Knowledge Service Platform has released 184 scientific data sets. Its catalog can be accessed on https://...
Statement on the explosion in Beirut, Lebanon
Hazards
Technical Disaster
2020-08-11
Abstract Geneva, 6 August 2020 - The Special Representative of the Secretary-General for Disaster Risk Reduction Mami Mizutori exp...
Field work for land degradation along China-Mongolia railway (Mongolian section)
Mongolian
2020-08-10
Land degradation is an important ecological and environmental problem facing the whole world. It is also one of the indicators of ...
AI taught to rapidly assess disaster damage so humans know where help is needed most
Artificial intelligence
disaster damage assessment
convolutional neural network model
post-disaster aerial images
2020-07-28
This photo shows the distribution of damage estimated by the convolutional neural network model for Mashiki town in the 2016 Kum...
COVID-19 crisis is an opportunity for cities resilience
Hazards
Epidemic & Pandemic
2020-06-30
Abstract The spread of COVID-19 around the world has placed cities at center stage in the response to the virus and its unpreceden...
Worst natural disasters of 2015---Massive earthquake devastates Nepal
natural disaster
earthquake
Nepal
2020-06-09
About 150 major natural disasters affected millions of people all over the world in 2015. Asia again bore the brunt of these disa...
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ISTIC Governing Board Chairman visited IKCEST
DRR reported to the 1st session of the second governing board and advisory committee of IKCEST
IKCEST team attended the Forum on Artificial Intelligence in Africa
The picture of Jiuzhaigou earthquake
Historical earthquake data for China
Recent articles
Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India
Integration of large vision language models for efficient post-disaster damage assessment and reporting
Glacial lakes and GLOFs in a warming Himalaya-Karakoram region: current understanding, challenges, and the way forward
January24, 2026 West Bandung Landslide Buries Homes, Kills Dozens
Design and implementation of a smart earthquake rescue robot to enhance rescue operations
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