The use of artificial intelligence (AI) in humanitarian remote sensing has become increasingly important in recent years. With the rise of natural disasters and humanitarian crises around the world, the need for accurate and timely information has never been greater. Remote sensing technologies, such as satellite imagery and unmanned aerial vehicles (UAVs), have been instrumental in providing this information. However, the sheer volume of data generated by these technologies can be overwhelming for human analysts to process. This is where AI comes in.
AI algorithms can analyze large amounts of data quickly and accurately, identifying patterns and anomalies that might be missed by human analysts.