Sebastian Gerard

PhD Student at KTH Stockholm, started 2021
Self-supervised learning on satellite images, looking to get into working on wildfires
 David Dao  My background is computer science, but from what I understand, fires emit a lot of radiation (as you might expect), so they are not that hard to find. Depends on the size of course. The two subjects I could imagine right now, based on what I know about available data, are early fire detection (there are several systems in place that do this already, so nothing completely new) or fire progression, i.e. predicting how the fire will spread. 

The dataset that I talked about in my initial post uses VIIRS, which has 375m resolution, but I also know of a colleague who used the GOES-R satellites, that are more around 1-2km resolution. So the fires do need to have a certain size before you can recognize them at that size 😃 However, GOES-R gives you 15 minutes of temporal resolution, which is awesome for early detection. VIIRS has 12h. 

I would have expected that the Amazon fires can be recognized somewhat easily too, but maybe individual fires are comparatively small or partially occluded by very high tree tops?