At a glance
Planet Labs operates roughly 200 small satellites that photograph the entire land surface of Earth every day, and its AI powered building damage assessments now reach emergency responders within hours of wildfires, floods, and tornadoes. That collapses a process that once took weeks of waiting for satellite passes and manual image comparison into near real time intelligence.
- Planet operates a fleet of roughly 200 satellites that image the whole Earth's land surface daily
- Dove satellites, each about the size of a shoebox, capture roughly three meter resolution imagery every day
- AI damage assessments are delivered to emergency responders within hours of an event
- After the 2023 Kahramanmaras earthquakes in Turkey, Planet data supported damage mapping across a vast disaster zone
- Machine learning techniques like semantic segmentation classify destroyed structures, burned vegetation, and flooded streets automatically
Planet Labs operates a fleet of roughly 200 small satellites that together photograph the entire land surface of Earth every day, and paired with AI analysis this daily imagery matters because it collapses the time it takes to understand a disaster from weeks to hours. After a flood, wildfire, or earthquake, the first and most urgent question for responders is simple: what was destroyed, and where are the people who need help? For most of the satellite era, answering that meant waiting for a spacecraft to pass over, then waiting longer for humans to compare before and after images frame by frame.
Planet's daily whole Earth coverage removes the first delay. Machine learning removes the second. The company now describes AI powered building damage assessments delivered to emergency responders within hours of events like wildfires, floods, and tornadoes, part of an emerging disaster lifecycle approach that spans preparation, response, and recovery.
Seeing Every Place, Every Day
Traditional imaging satellites revisit any given spot every few days or weeks and must be tasked, pointed at a target in advance. Planet's constellation of Dove satellites, each about the size of a shoebox, images everything indiscriminately every day at roughly three meter resolution, building a daily archive of the whole planet. Higher resolution SkySat imagery can then be tasked for finer detail on specific damage zones.
That daily rhythm changes disaster work fundamentally. When a wildfire tears through a town, there is almost always a fresh image from before the fire and another within a day after it, captured without anyone needing to task a satellite in time. The before and after pair is the raw material of damage assessment.
Teaching Machines to See Broken Buildings
The analytical leap comes from AI. In work with partners including NASA and research labs, Planet has applied machine learning techniques such as semantic segmentation, which evaluates each pixel of an image in relation to its neighbors, to automatically classify destroyed structures, burned vegetation, and flooded streets. After the devastating 2023 earthquakes in Kahramanmaras, Turkey, Planet satellite data was used in damage mapping efforts that helped responders grasp the scale of building collapses across a vast disaster zone.
The same pipeline serves slower disasters. PlanetScope's multispectral imagery supports wildfire risk assessment and burn scar mapping, flood extent detection, drought and crop monitoring, and long term tracking of infrastructure and population recovery after a crisis passes.
Partnerships That Move the Data
Imagery only saves lives if it reaches decision makers. Planet supplies data to government emergency agencies, insurers, and humanitarian organizations, and works through programs that share satellite data with responders. State geographic information councils in the United States have highlighted how Planet's AI powered analytics now feed damage assessments to emergency operations centers within hours, letting officials direct search and rescue teams to the blocks where collapsed buildings are detected rather than sweeping entire cities blind.
The company has also long participated in open data efforts during major disasters, releasing imagery for events like hurricanes and earthquakes so that volunteer mapping communities and agencies worldwide can contribute to the response.
A Quiet Shift in Emergency Management
Emergency management has historically run on phone calls, paper maps, and windshield surveys. Satellite AI is quietly replacing that with evidence. Knowing within hours that 400 structures in one neighborhood are destroyed and 40 in the next determines where ambulances go, where shelters open, and where recovery funds are directed first.
As climate change multiplies the frequency and intensity of extreme events, the ability to see every acre of the planet every day, and to have machines flag what changed overnight, is shifting from luxury to baseline infrastructure. The satellites do not stop the storm. They make sure nobody has to guess where the storm struck.
Common Questions
How often does Planet Labs photograph the Earth?
Planet's constellation of roughly 200 satellites images the entire land surface of Earth every day at roughly three meter resolution. Traditional imaging satellites revisit a given spot only every few days or weeks and must be tasked at a target in advance, though Planet can task its higher resolution SkySat imagery for finer detail on specific damage zones.
How does AI detect damaged buildings from satellite images?
Planet and partners including NASA apply machine learning techniques such as semantic segmentation, which evaluates each pixel of an image in relation to its neighbors. This automatically classifies destroyed structures, burned vegetation, and flooded streets from before and after image pairs without humans comparing frames manually.
How was Planet data used after the 2023 Turkey earthquakes?
After the devastating 2023 earthquakes in Kahramanmaras, Turkey, Planet satellite data was used in damage mapping efforts that helped responders grasp the scale of building collapses across a vast disaster zone, guiding where search and rescue teams should go.
Who receives Planet's AI damage assessments during a disaster?
Planet supplies data to government emergency agencies, insurers, and humanitarian organizations. State geographic information councils in the United States have highlighted how the AI powered analytics feed damage assessments to emergency operations centers within hours, letting officials direct teams to blocks with detected collapsed buildings rather than sweeping entire cities blind.
Sources: Planet Labs disaster lifecycle and damage assessment program pages; Planet Pulse, "Transforming Disaster Response Through Satellite Data and AI" (2025); National States Geographic Information Council partner spotlight on Planet; Parametric Architecture coverage of Planet Labs semantic segmentation work after the 2023 Turkey earthquakes.
