I have been struggling with a raster dataset that I have and I wanted to ask your opinions.
Basically, I have a raster which is acoustic data and I want to isolate parts of it because certain signals relate to different things. So, for example, for species1, I want the values that are high (approx 200 decibels and higher, light color), but only those that are surrounded by low values (less than 80 decibels, dark color). Also, I want only the ones that form streaky lines, as you can see in the picture. Similarly, for another species, I would like to extract the areas which are dark in color, but surrounded by light colors (animals in the sediment, the sediment also has a similar light color as the first species mentioned). I am attaching an overview so you can see the two types of animals I am trying to differentiate between in this dataset (there are more than two species, but lets start with that).
I have tried a number of things, but with no success. I would appreciate it very much if someone has an idea about how to tackle this issue.