How Texas A&M is Pioneering Damage Assessment Using Mosaic Imagery from Hurricane Milton
Researchers at Texas A&M are using Mosaic-captured imagery to develop disaster resilience frameworks that bridge the gap between satellite data and ground truth
Academic Research
Mosaic 360° cameras are ideal for gathering consistent data for large-scale research projects for universities across many disciplines.
Client testimonials
The Mosaic equipment has been indispensable to our work on understanding hazards and damage, managing debris, and supporting disaster recovery... We look forward to continued research and development as well as training and education with Mosaic and others working to build and sustain safe, strong, and resilient communities.
This is, hands down, one of the most efficient tools we’ve used for on-the-ground data collection. It’s perfect for high-impact, time-sensitive missions like wildfire response.
Based on my experimental results, Mosaic data demonstrated strong performance in terms of spatial resolution, visual consistency, and overall usability, making it highly suitable for my research objectives.
Beyond the hardware, Mosaic provides a team that supports our drive to achieve the highest quality data for conservation, research, and public engagement.
"Working with our partners and Mosaic, we've used and integrated the resulting imagery for disaster response and to assist in disaster damage assessments for Hurricanes and Wildfires. Currently, we would like to better integrate machine learning into the imagery and LiDAR data capture workflow and analysis to better assess damage and improve disaster response and recovery processes."
The Mosaic X is one of the state-of-the-art best hardware in this area and we’re happy to work with you and with the hardware to create a digital twin of the environment.
What can a Mosaic camera bring to your academic research?
Simple and consistent large-scale data collection
The best research balances high quality with high quantity, and meaningful research in computer vision, geospatial analysis, and environmental science depends on data at scale.
Mosaic MMS are designed for large-scale and repeatable data capture. Instead of a handful of test sites, capture long stretches of real-world environments of consistent quality and with precise GPS metadata.
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They are simple to set up and can be captured with a single operator in the vehicle.
Capture the data you need, whether it is indoors, outdoors, at highway speeds, or even on boats, with Mosaic’s options that fit every project.
Data outputs that work across many departments and fields
A single MMS investment by a university supports a wide range of research activities across many departments.
The non-proprietary, non-vendor-locked imagery produced by Mosaic cameras means teams can use the image data with industry-specific software programs they know best.
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Data captured by one team can be shared and reused across departments without compatibility barriers or vendor-specific licensing limits.
It has the flexibility that facilitates multidisciplinary exchange of ideas.
Real-world imagery for training and testing models
Synthetic datasets have their uses, but the best way to train a model for real-world scenarios is with real-world data.
Ground-truth imagery from actual environments is a core training element for researchers who are building scene-understanding algorithms or geospatial AI tools.
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Mosaic MMS produce the kind of high-resolution, GPS-tagged 360° datasets that give AI and machine learning models research a reliable foundation.
Get the varied lighting, complex scenes, and accurate coordinates needed for the strongest possible training data, all from a single drive with a single operator.
Videos: See how Mosaic is transforming university research
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Real-Life Stories: Mosaic camera systems in academic research
Documenting Lahaina and LA’s Wildfire Damage with Street-Level Imagery
When UCLA and the University of Hawaii’s research programs need high-resolution 360° imagery of wildfire aftermath, they turn to Mosaic cameras.
A Job Only Street View Can Do: An Academic Case Study of Hurricane Ian
There are some scenes only street-view imagery can capture. These researchers are using Mosaic imagery from Hurricane Ian to train GeoAI models to identify post-disaster damage levels.
UCLA Utilizes the Mosaic X to Record L.A. Fire Damage
Mosaic had the opportunity to speak with UCLA researchers about the devastating 2025 L.A. wildfires.
Mosaic Partners with Chulalongkorn University’s Smart Mobility Research Center
Mosaic’s collaboration with Chulalongkorn University’s Smart Mobility Research Center promises to improve 3D mapping capabilities to meet the needs of transportation infrastructure projects.
Mobile Mapping at the Forefront of the University of Bradford’s Innovative Approach to Heritage Preservation
The University of Bradford uses Mosaic’s advanced mobile mapping technology to capture historic sites in detail. Since 2023, their Visualising Heritage team has developed a digital twin of Bradford, enhancing urban planning and historic exploration.
Universities using Mosaic MMS
Curious how Mosaic Mobile Mapping Systems Perform in the Field?
Get our case studies pack to see how universities and companies around the world use the Mosaic MMS for street-level capture, inspection, and planning.
Looking for free training data? We’ve released 15.15 terapixels of street-view imagery for researchers.
REALMAP is an incredibly high-quality image dataset of Prague, available for non-commercial use. This project is our way of giving back to the research community, and it features:
- 210,469 panoramas in 13.5 K resolution
- 1,262,814 source images (6 x 12MP per panorama)
- 15.15 terapixels
- 1 image every meter along every track
- GDPR-compliant anonymization of faces and license plates
Learn more about Prague REALMAP here and here.
