Greetings, I am an MSc student in South Africa who has been using the Altum sensor mounted abroad the DJI Matrice 300 drone. We have collected numerous images over temporal scales along with field data points to run a random forest regression. We mosaicked and conducted radiometric correction of the Altum images in Pix4Dfields and are using the orthomosaic image for analysis. The process we use in Pix4Dfields is:
Select drone image folder, select the weather type and leave the GSD off and leave the total megapixels on the default (50 megapixels).Once processing is completed we export the orthomosaic image and surface model and use it for analysis in ArcGIS and QGIS.
However, when we have ran our model in R-statistical software (Rattle) using the random forest regression for each of our variables the accuracies and R squared values are below 0.1. We have been trying to better our accuracies since November 2020 and have had no success. This is why we think the issue may be in our processing technique in these initial stages.
Any insight into bettering our accuracies or any processing tips and techniques, or any flaws you have picked up in our methodology will be helpful. Any advice will be greatly appreciated!