Gil, A. & Abadi, M. (2015) Using very high resolution satellite imagery for land cover mapping in Pico da Vara nature reserve (S. Miguel Island, Archipelago of the Azores, Portugal). Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 3329-3332. DOI:10.1109/IGARSS.2015.7326531
The effectiveness of very high-resolution IKONOS multispectral satellite imagery for land cover/vegetation mapping in Pico da Vara Nature Reserve (S. Miguel Island, Archipelago of the Azores, Portugal) was assessed. A per-pixel supervised classification scheme was developed using two different datasets. The Dataset A included the IKONOS-2 ortho-rectified and atmospherically corrected Visible and Near Infrared (VNIR) multispectral bands (4 bands in total). Besides the same spectral bands of Dataset A, Dataset B also included two additional GIS-based raster bands representing both ‘Altitude’ and ‘Distance to water streams’ layers, since these two environmental variables are strongly relevant for land cover/vegetation categories distribution in Pico da Vara Nature Reserve. Overall, most of the five supervised classification techniques applied (Support Vector Machine; Maximum Likelihood; K-Nearest Neighbor; Linear Discriminant Analysis; Probabilistic Neural Network) showed a strong agreement and a good accuracy. The best classification accuracy was obtained by applying the KNN classifier to Dataset B. Remote sensing by using very high-resolution IKONOS-2 multispectral imagery was confirmed as an effective method for land cover mapping in Pico da Vara Protected Area.