USJRB PLNT CMMNT2023

This is the 2023 classification map for year 2. The map was created based upon the classification of a 0.5-m and 8-band pansharpened WorldView-2 image collected in March 2023 using three contemporary machine learning classifiers: Artificial Neural Network (ANN), Support Vector Machine (SVM), and Random Forest (RF). The ensemble analysis combined the outputs of ANN, SVM and RF to generate a more robust classification. The generation of this map used eCognition Developer 10.0 for image segmentation, R script for machine learning and classification, and ArcGIS Pro for training sample selection and mapping finalization. The map has an overall accuracy of larger than 80% in terms of a combination of reference samples collected in the field and interpreted from WV-2 using 10-fold cross validation method.