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