The user’s and producer’s accuracies of the water class of FROM_GLC-2017 are 71.14% and 80.87%, respectively. Regionally, the accuracy for the water class is highest in West Asia–Northeast Africa (95.87%), followed by Central and Eastern Europe (89.75%), Central Asia (87.01%), and South Asia (15.67%).
The commission accuracy of the permanent water class of JRC_GSW is 99.6%, 99.5%, and 99.7% for the TM, ETM+, and OLI data, respectively; the corresponding omission accuracies are 98.8%, 97.8%, and 99.1%. The commission accuracy of the seasonal water class is 98.8% (TM), 98.4% (ETM+), and 98.5% (OLI); the omission accuracy of the seasonal water class is 74.9% (TM), 73.8% (ETM+), and 77.4% (OLI), respectively.
The overall accuracy of the monthly history water map of the JRC_GSW is 89.4%, 90.7%, and 96.1% in Georgia, Armenia, and Azerbaijan, respectively. Specifically, the overall accuracies of the monthly water map for the months of July and October are 88.6% and 90.5% in Georgia, 88.9% and 92.6% in Armenia, and 96.4% and 95.9% in Azerbaijan, respectively.
The user’s and producer’s accuracies at 30 m resolution are and for the monthly mapped water class of JRC_GSW, and for the time series of permanent water, and and for the time series of stable seasonal water, respectively. Validation dataset link: https://www.glad.umd.edu/dataset/global-surface-water-dynamics