Natural Disaster Management Webinar Series

1. Using Planet Data to Understand and Mitigate Disaster Risk in Urban Areas

Earth Observation data is transforming how governments understand change and monitor disaster risks. In this webinar, we’ll show how Planet’s change detection tools and data analytics capabilities can help governments spot new hazards and increase resilience in urban areas. We'll demonstrate how Planet data is utilized for:

• Monitoring Urban Heat Islands
• Detecting Unpermitted Roads and Buildings
• Identifying High-Risk Properties or Trees
  

Presenter: Richard Ghani, Senior National Security Solutions Manager, Planet

2. Using Soil Water Content for Drought Monitoring

“Flash” droughts emerge rapidly and are increasingly common in many parts of the world. Unfortunately, flash droughts can leave many communities unprepared and dramatically increase the risk of agricultural losses and wildfires. In this webinar, we’ll show how governments can use Planet’s Soil Water Content dataset to improve early warnings and enact measures to mitigate the environmental and economic impacts of flash droughts.

Presenter: Richard De Jeu, Senior Director of Software Engineering, Planet

3. Monitoring Wildfire Risk and Hazard Fuels Removal

Wildfires pose a growing threat to communities and natural landscapes. In this webinar, we’ll show how Planet data can help governments better monitor forest health, measure fall-in risk for individual trees, and monitor the success of vegetation removal programs.

Presenter: David Marvin, Senior Product Manager, Planet

4. Using AI for Rapid Building Damage Assessments

Artificial intelligence can help authorities rapidly assess the extent of damage to buildings after disasters. In this webinar, we’ll show how Microsoft’s AI for Good Lab used Planet data to accelerate and target response efforts following the February 2023 earthquake in Turkey and August 2023 wildfire in Lahaina, Hawaii.

Presenters: Andrew Zolli, Chief Impact Officer, Planet and Juan M. Lavista Ferres, Vice President and Chief Data Scientist of the AI for Good Lab at Microsoft