geography, moscow state university, and today our guest is professor, head of the skaltech center for artificial intelligence, leading researcher at the institute evgeniy burnaev, evgeniy vladimirovich, hello, hello, about identification forest fires, well, here’s a short and accessible way of how the algorithm works? it works as follows: firstly, in this task, as usual, in many artificial intelligence and machine learning tasks , the actual data needs to be collected and prepared. what data is this? firstly, these are data from thermal points, that is, where the temperature was exceeded, in what area of ​​space, at what point in time, these are satellite data, secondly, these are data that are also obtained from satellites about the underlying surface , various vegetation indices, of course, this data on the relief, of course, is data on the distance to populated areas, because in general, in predicting fires , you need to understand that the human factor unfortunately sometimes happens and... does occur, and finally, these are various data describing the climate, meteorology, that is, this is a weather for