Syifa, M.; Panahi, M.; Lee, C.-W. Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA. Remote Sens. 2020, 12, 623. https://doi.org/10.3390/rs12040623. Click Classification results from the Sentinel‐2 imagery of the Camp Fire wildfire using SVM classifier for (a) pre‐wildfire occurrence, (b) post‐wildfire occurrence, and using the SVM–ICA for (c) pre‐wildfire occurrence, and (d) post‐wildfire occurrence. The pre- wildfire and post‐wildfire data were acquired on November 6, 2018, and December 31, 2018. The accuracy of the assessment was measured using a confusion matrix and shows that the hybrid algorithm results from Sentinel-2 imagery and Landsat Imagery show higher accuracy than the standalone machine learning algorithm. Continue reading...
