Jack Baker

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Professor

Stanford University

jackwbaker.com

Bio

Recent content by Jack Baker

Evaluating how effective data integration for damage estimation with different data sources across different contexts.

Efficacy of damage data integration: a comparative analysis of four major earthquakes

Sabine Loos

Assistant Professor

A framework that employs geostatistical methods to combine multiple sources of building damage data into one estimate.

G-DIF: A Geospatial Data Integration Framework to Rapidly Estimate Post-Earthquake Damage

Sabine Loos

Assistant Professor

An overview of the development of using remote sensing for crowdsourcec building damage assessment and an evaluation of the uses of this information.

The Development and Uses of Crowdsourced Building Damage Information based on Remote-Sensing

Sabine Loos

Assistant Professor

Recent news about Jack Baker

Sabine Loos was awarded the VI José María Sarriegi Scientific Divulgation Award

Dr. Sabine Loos' paper “A data-driven approach to rapidly estimate recovery potential to go beyond building damage after disasters”, published in Nature Communications Earth and Environment in 2023, has won the VI José María Sarriegi Scientific Divulgation Award from the Aon Spain Foundation Catastrophe Observatory and Tecnun School of Engineering of the University of Navarra. Dr. Loos' coauthors include David Lallemant, Feroz Khan, Jamie W. McCaughey, Robert Banick, Nama Budhathoki, and Jack W. Baker.

New Project: Rapid Building Damage Estimation through Data Integration

From remote sensing to crowdsourcing, an overwhelming amount of building damage data is produced after disasters. While this amount of data signifies impressive technological progress, it does not necessarily mean that all building damage data is usable for post-earthquake decision-making. This research applies geostatistical methods to integrate multiple sources of data to produce rapid estimates of building damage, primarily to support regional decision making.

Jack Baker

Bio

Recent content by Jack Baker

Efficacy of damage data integration: a comparative analysis of four major earthquakes

Sabine Loos

G-DIF: A Geospatial Data Integration Framework to Rapidly Estimate Post-Earthquake Damage

Sabine Loos

The Development and Uses of Crowdsourced Building Damage Information based on Remote-Sensing

Sabine Loos

Recent news about Jack Baker

Sabine Loos was awarded the VI José María Sarriegi Scientific Divulgation Award

New Project: Rapid Building Damage Estimation through Data Integration

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