Satellite data | Study area | Method | Kappa value |
Landsat TM [37] | Huanghe river delta, China | DT algorithm: TM2 + TM3 > TM4 + TM5 was used to extract reservoirs, ponds and broad rivers | 0.92 |
Landsat 5 TM [41] | Test site 1: Denmark, Test site 2: Switzerland, Test site 3: Ethiopia, Test site 4: South Africa, Test site 5: New Zealand. | AWEI | Test site 1: 0.93 Test site 2: 0.95 Test site 3: 0.97 Test site 4: 0.98 Test site 5: 0.98 |
Landsat TM and ETM+ [84] | Bayi lake, Fuzhou City, China | Modified NDWI | 0.99 |
ASTER [44] | Beijing, China | An object-oriented approach using Hierarchical classification and DT classification | 0.81 |
Landsat 5-TM Landsat 7-ETM+ Landsat 8-OLI [35] | Lake Urmia, Iran | NDWI-PC | 0.73 |
Quickbird [130] | Phoenix and Scottsdale, Arizona | Object-based approach using multi-resolution segmentation algorithm, Minimum distance supervised classification | Scottsdale: 0.81 Phoenix: 0.82 |
IRS LISS III and LISS IV [131] | Bhopal, India | NN supervised classification approach | LISS III: 0.98 LISS IV: 0.96 |
WV2 and Airborne Imaging Spectroradiometer Analysis (AISA) [132] | Study area 1: Turtle Creek Corridor, Dallas, Texas Study area 2: National Mall Area, Washington, DC | Fuzzy Kolmogorov-Smirnov (FKS) | AISA: 0.79 WV2: 0.99 |