Information on the distribution of forest species is critical to sustainable management of the forest resources. However, forest species structure information accuracy remains low. Most of the current multi-angle data algorithms are based on the satellite-borne or simulated datasets. In this study, we exploited the use of structural information derived from air-borne data to compare the signatures from the ground survey. This investigation was carried out by using FIFEDOM (Frequent Image Frames Enhanced Digital Ortho-rectified Mapping) data [1].
This study used FIFEDOM data collected over the Algoma forest, Ontario Canada, which has four dominant species, Jack Pine (PJ), Black Spruce (SB), Poplar (PO) and White Birch (BW).The accuracy of the radiometric and geometric multi-angle signature results were assessed against CASI (Compact Airborne Spectrographic Imager) data, which was collected at the same time and also compared to SPRINT model simulation results.