Influence of Pansharpening in Obtaining Accurate Vegetation Maps

A study assessing the influence of pansharpening techniques on vegetation mapping accuracy found that the Weighted Wavelet ‘à trous’ through Fractal Dimension Maps algorithm significantly improved image fusion preprocessing, leading to more precise thematic maps. The research applied pixel- and object-based classification techniques to fused imagery using different algorithms in Teide National Park, a vulnerable heterogeneous ecosystem in Spain. While the Bayes method proved most effective for generating accurate vegetation maps post-segmentation, Support Vector Machine achieved the highest overall accuracy. This work highlights the potential of pansharpening to enhance environmental monitoring and management, particularly in complex ecosystems.

Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., & Marcello, J. (2017). Influence of Pansharpening in Obtaining Accurate Vegetation Maps. Canadian Journal of Remote Sensing, 43(6), 528–544. https://doi.org/10.1080/07038992.2017.1371583