Hello - this past winter, the forest I work experienced some heavy snow loading in December which caused significant damage to areas of our forest. We are now in the middle of assessing these areas for damage. My question relates to finding the best way to detect change over a larger area in an efficient manner rather than digitizing 30,000+ acres of damage. We have imagery available from Spring of 2022 (leaf off) and had another flight flown this spring over the area with heaviest damage, Spring 2023 (leaf off). I've worked through a few of the tools available in Arc to assess change, but am not having any success. Our imagery only has RGB bands. I've also tried to classify the image, but I believe since the imagery is leaf off, it not able to pick up difference in a down tree versus a standing (similar color value).
Any ideas or suggestions would be greatly appreciated! I've attached some screenshots of the imagery for reference.