Neural network trained to assess fire effects

April 23, 2018, Skolkovo Institute of Science and Technology
Credit: Open Data Program: DigitalGlobe

Skoltech's Aeronet Lab has developed an algorithm that makes it possible to analyze satellite images of areas affected by fires and other natural disasters and to make a quick assessment of the economic damage. The algorithm is based on machine learning and computer vision.

The AeroNet Lab at Skoltech's Center for Computational and Data-Intensive Science and Engineering (CDISE), in collaboration with Professor Evgeny Burnayev, trained the on sets of satellite images to ensure that it can distinguish between the buildings destroyed from those untouched by fire. To train the neural network, the scientists used publicly available of California (United States) taken in 2017. Later, the trained network reliably identified burnt-out houses in the test area, Santa Rosa (California), which was affected by destructive fires. If used in a crisis environment, the solution helps to quickly assess the scope of the disaster and the expected damage and expedite the . The project has spurred interest among public and humanitarian organizations, as well as insurance companies.

"The developed algorithms are capable of analyzing multi-temporal satellite image series and detecting changes in objects belonging to a certain class. The solution will be a great help in various research tasks and industrial area-monitoring applications, such as the detection of new construction sites, a population density assessment, and risk management in protected areas," says Vladimir Ignatiev, a research scientist at Skoltech.

AeroNet Lab develops various applications based on deep learning and computer vision to deal with a host of real-world issues using and aerial imagery: monitoring services for security zones of large-scale industrial facilities, such as pipelines and (leak detection, overgrowth control, illegal construction, etc.), recommender services for purposes of geomarketing (building height and occupancy assessment, etc.), forestry and agriculture (illegal felling, standing timber quality, crop yield forecasting, consequences of droughts).

Explore further: Satellites, supercomputers, and machine learning provide real-time crop type data

More information: Trekin, Alexey, German Novikov, Georgy Potapov, Vladimir Ignatiev, and Evgeny Burnaev. "Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations." arXiv:1803.00397 [Cs], February 19, 2018. arxiv.org/abs/1803.00397

Related Stories

Image: Tracking aerosols from California's fires

December 18, 2017

The new Copernicus Sentinel-5P satellite captured the presence of elevated absorbing aerosols – caused by fires – in the atmosphere off the west coast of the US on 12 December 2017.

Wildfires break out in Southern Florida

March 27, 2018

It is the end of March and wildfires are already breaking out in the South. In this image taken by the Aqua satellite on March 23, three distinct areas of fire activity can be seen. Smoke billows from the fire sites. The ...

NASA satellite sees fires in southeastern U.S.

March 6, 2018

The National Interagency Fire Center (NIFC) is not reporting many wildfires in the Southeast despite the number of hotspots that were detected by the Aqua satellite. One wildfire was noted on the border of Alabama and Florida ...

Recommended for you

Permanent, wireless self-charging system using NIR band

October 8, 2018

As wearable devices are emerging, there are numerous studies on wireless charging systems. Here, a KAIST research team has developed a permanent, wireless self-charging platform for low-power wearable electronics by converting ...

Facebook launches AI video-calling device 'Portal'

October 8, 2018

Facebook on Monday launched a range of AI-powered video-calling devices, a strategic revolution for the social network giant which is aiming for a slice of the smart speaker market that is currently dominated by Amazon and ...

Artificial enzymes convert solar energy into hydrogen gas

October 4, 2018

In a new scientific article, researchers at Uppsala University describe how, using a completely new method, they have synthesised an artificial enzyme that functions in the metabolism of living cells. These enzymes can utilize ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.