Journal of Remote Sensing / 2021 / Article / Tab 11

Review Article

Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects

Table 11

Summary of the reported accuracies of the 30 m global inland water products.

StudyRegionAccuracy description

Kang et al. [39]IndonesiaThe user’s and producer’s accuracies of the water class are 97.74% and 60.19% for GLC_FCS30-2015, 93.44% and 54.42% for GlobeLand30-2010, and 89.97% and 68.52% for FROM_GLC-2015, respectively.
Chen et al. [14]Shaanxi, ChinaThe user’s and producer’s accuracies of the water class of GlobeLand30-2000 are 99.00% and 79.60%, respectively. The user’s accuracy of the water class of GlobeLand30-2010 is 84.70%.
Wang et al. [84]ChinaThe user’s and producer’s accuracies of the water class of GlobeLand30-2010 are 94.00% and 79.00%, respectively.
Cao et al. [81]GlobalThe overall accuracies of the water class of GlobeLand30-2000 and GlobeLand30-2010 are 96.51% and 96.48%, respectively.
Manakos et al. [116]Thessaly, GreeceThe water class of GlobeLand30-2010 shows a 91.9% overlap with the reference data.
Ji et al. [82]GlobalThe user’s and producer’s accuracies of the water class of FROM_GLC-2010 are 81.97% and 85.66%, respectively.
Gong et al. [18]GlobalThe user’s and producer’s accuracies of the water class of the 10 m version of FROM_GLC-2017 are 81.97% and 86.39%, respectively.
Feng et al. [85]AfricaThe user’s and producer’s accuracies of the water class of FROM_GLC-2015 are 93.50% and 66.90%, respectively.
Guo et al. [83]Asia, Europe, and AfricaThe 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%).
Pekel et al. [25]GlobalThe 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.
Worden and de Beurs [117]Georgia, Armenia, and AzerbaijanThe 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.
Pickens et al. [26]GlobalThe 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