When natural catastrophes occur, satellite images may be quickly analyzed to determine the extent of damage and the most critical places for relief.
Fremont, CA: Building disaster-resistant communities is an essential part of fulfilling the United Nations' sustainable development goals. Satellite photos and remote sensing technology are now being utilized to examine disasters and develop recovery strategies. Many commercial satellites have become available recently, and international charters have been set up to make satellite photos more readily available during natural disasters like earthquakes, torrential rain, and wildfire.
For many natural disasters, rapid analysis of vast numbers of photos is required, which was previously done manually by humans. Satellite photos can be used to extract critical information for a post-disaster response, such as damaged locations, sediment volume, victim count, and building destruction. In a short period of time, artificial intelligence (AI) can quickly analyze massive amounts of satellite photos.
It is possible to divide the types of remote sensing spacecraft into optical and synthetic aperture radar (SAR). An optical satellite generates visuals that are nearly identical to those produced by the human eye. The ability to obtain optical satellite images is not always constrained by weather circumstances like clouds or rain, which make interpretation of the images visually simple. On the other hand, a SAR satellite is equipped with a radar sensor, which allows it to capture photos even in bad weather. As soon as an event of a natural disaster like a tsunami or earthquake occurs, it is critical to assess the situation quickly so that rescue efforts and countermeasures can be implemented. Artificial Intelligence (AI) analysis of optical and SAR satellite pictures is a key technique for meeting this need.
AI for disaster management strategies
The application of AI with satellite photos can help mitigate the damage caused by natural disasters and provide rapid support to those impacted. It's possible to identify collapsed buildings after an earthquake quickly, assess fire damage to buildings, and locate places swamped by a tsunami using satellite pictures and artificial intelligence analysis.
The disposal of trash, such as soil, sand, and destroyed infrastructure, is a prevalent problem in numerous natural calamities. Recovery from a disaster necessitates close coordination between the federal government and local governments in the affected area. By determining the quantity and location of demolished structures, governments and municipalities may better plan for rehabilitation and garbage disposal. Rapidly obtaining knowledge on a subject with the use of AI and satellite imagery.
