This level of classification was supported by the NWI map, CIR aerial photos acquired with the mission, and the NAPP data which has a contrasting phenological stage of the CAMS data. The rich spectral information inherent in the CAMS data has not been fully exploited in the current project due to the lack of accurate ground truth and a proper wetland and vegetation classification scheme. The potential of the CAMS data need to be further explored, especially with GPS-based ground reference data and a more detailed and complete classification scheme based on the ground reference data. Both the spatial and spectral resolution of the CAMS data offers a great potential for many other digital image analyses, such as NDVI and texture transformation that were performed in the project. Therefore, if vegetation can be masked out, hopefully with a texture layer derived from the imagery, an NDVI may help separate evergreen from deciduous.
Further research is needed on how to utilize texture for image segmentation.
Again, the testing of these and other new techniques need to be supported by more in-depth ground truth.