I have been mapping forest to determine presence of disease. I am getting good enough results to be able to do it. I have found that where there is big variance in the canopy height there is increased stitching error. To reduce this I am flying between 200’ to 400’ feet above the canopy which is a balance between error and resolution.
I can understand this limitation but would like to be able to identify a tree in the orthomosaic view and then look at the original to see the specimen more clearly. So to do this more effectively I would like to propose some features if that were in order.
- The viewer has a camera roll that shows the original pictures. It would be nice to be able the application to go to the picture underneath the cursor in the orthomosaic view.
- It would also be extremely useful to have the cursor read out the lat/long of the position it is over. This would enable in my requirement for someone to identify the tree on the ground.
- The picture (jpg from my Phantom 3) has not been processed optimally during the stitching phase of your software and in particular it is heavily de-noised. This reduces information that can be useful identifying issues looking at the tree. Is it possible to set the camera to raw so that it can be processed in something like DXO before uploading? I am aware that has limitations such as ensuring there is no distortion correction made.
- I keep hitting the limitation of 3Gb when uploading. Will this change?
- Can I export the orthomosaic view as an image file such as tiff directly?
Thanks for the development ongoing in this beta. It is the best solution even in this state that I have come across for what I am doing including attempting to fly and then stitch things manually. The geo-correction is awesome.