18 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.15 |
9.9 |
Catemaco, Mexico |
Landsat 8 |
|
|
16 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.4 |
0.09 |
Catemaco, Mexico |
Landsat 8 |
|
|
16 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.42 |
17.87 |
Catemaco, Mexico |
Landsat 8 |
|
|
18 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.12 |
9.16 |
Catemaco, Mexico |
Landsat 8 |
|
|
7 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.95 |
7.97 |
Catemaco, Mexico |
Sentinel-2 |
|
|
7 |
SDD |
Linear Regression |
logb1, logb2, logb5, logb6, logb7 |
0.91 |
0.09 |
Catemaco, Mexico |
Sentinel-2 |
|
|
7 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.81 |
1.34 |
Catemaco, Mexico |
Sentinel-2 |
|
|
7 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.85 |
0.79 |
Catemaco, Mexico |
Sentinel-2 |
|
|
17 |
Chl-a |
Linear Regression |
b1, b4, b6, b7 |
0.38 |
8.01 |
Catemaco, Mexico |
Sentinel-3 |
|
|
16 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.26 |
1.04 |
Catemaco, Mexico |
Sentinel-3 |
|
|
17 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.26 |
1.86 |
Catemaco, Mexico |
Sentinel-3 |
|
|
16 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.36 |
0.54 |
Catemaco, Mexico |
Sentinel-3 |
|
|
100 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.38 |
4.63 |
Chapala, Mexico |
Landsat 8 |
|
|
154 |
SDD |
Support Vector Regression |
logb1, logb2, logb4, logb5, logb6, logb7 |
0.3 |
0.11 |
Chapala, Mexico |
Landsat 8 |
|
|
154 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.21 |
417.07 |
Chapala, Mexico |
Landsat 8 |
|
|
154 |
Turbidity |
Linear Regression |
b2, b4, b5, b6 |
0.66 |
20.17 |
Chapala, Mexico |
Landsat 8 |
|
|
26 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.24 |
2.68 |
Chapala, Mexico |
Sentinel-2 |
|
|
52 |
SDD |
Linear Regression |
logb3, logb4, logb6, logb7, logb8 |
0.53 |
0.08 |
Chapala, Mexico |
Sentinel-2 |
|
|
52 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.43 |
45.08 |
Chapala, Mexico |
Sentinel-2 |
|
|
47 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.6 |
7.37 |
Chapala, Mexico |
Sentinel-2 |
|
|
77 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.25 |
3.07 |
Chapala, Mexico |
Sentinel-3 |
|
|
77 |
SDD |
Support Vector Regression |
b8 |
0.67 |
0.67 |
Chapala, Mexico |
Sentinel-3 |
|
|
74 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.2 |
0.2 |
Chapala, Mexico |
Sentinel-3 |
|
|
72 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.67 |
0.67 |
Chapala, Mexico |
Sentinel-3 |
|
|
22 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.13 |
24.55 |
Cuitzeo, Mexico |
Landsat 8 |
|
|
33 |
SDD |
Support Vector Regression |
logb4, logb5, logb6, logb7 |
0.41 |
0.1 |
Cuitzeo, Mexico |
Landsat 8 |
|
|
14 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.91 |
60.86 |
Cuitzeo, Mexico |
Landsat 8 |
|
|
22 |
Turbidity |
Linear Regression |
b2, b5, b6, b7 |
0.74 |
97.64 |
Cuitzeo, Mexico |
Landsat 8 |
|
|
7 |
Chl-a |
Linear Regression |
logb3, logb6, logb1, logb7, logb8 |
0.98 |
0.92 |
Cuitzeo, Mexico |
Sentinel-2 |
|
|
7 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.78 |
0.07 |
Cuitzeo, Mexico |
Sentinel-2 |
|
|
7 |
TSM |
Linear Regression |
b1, b2, b4, b6, b7 |
0.94 |
13.4 |
Cuitzeo, Mexico |
Sentinel-2 |
|
|
7 |
Turbidity |
Linear Regression |
b1, b2, b3, b4, b6 |
0.91 |
18.53 |
Cuitzeo, Mexico |
Sentinel-2 |
|
|
20 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.47 |
59.94 |
Cuitzeo, Mexico |
Sentinel-3 |
|
|
21 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.82 |
0.04 |
Cuitzeo, Mexico |
Sentinel-3 |
|
|
21 |
TSM |
Linear Regression |
b1, b10, b11, b3, b4, b5, b6, b7, b9 |
0.58 |
77.83 |
Cuitzeo, Mexico |
Sentinel-3 |
|
|
13 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.82 |
44.99 |
Cuitzeo, Mexico |
Sentinel-3 |
|
|
43 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.14 |
34.98 |
Pátzcuaro, Mexico |
Landsat 8 |
|
|
43 |
SDD |
Support Vector Regression |
b3, b4, b5 |
0.42 |
0.04 |
Pátzcuaro, Mexico |
Landsat 8 |
|
|
43 |
TSM |
Support Vector Regression |
b2, b4 |
0.38 |
19.9 |
Pátzcuaro, Mexico |
Landsat 8 |
|
|
43 |
Turbidity |
Support Vector Regression |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.56 |
27.75 |
Pátzcuaro, Mexico |
Landsat 8 |
|
|
47 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.21 |
25.91 |
Pátzcuaro, Mexico |
Sentinel-2 |
|
|
36 |
SDD |
Linear Regression |
logb6, logb7 |
0.15 |
1.96 |
Pátzcuaro, Mexico |
Sentinel-2 |
|
|
36 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.14 |
423.63 |
Pátzcuaro, Mexico |
Sentinel-2 |
|
|
36 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.36 |
44.9 |
Pátzcuaro, Mexico |
Sentinel-2 |
|
|
31 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.38 |
26.74 |
Pátzcuaro, Mexico |
Sentinel-3 |
|
|
29 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.18 |
0.02 |
Pátzcuaro, Mexico |
Sentinel-3 |
|
|
31 |
TSM |
Support Vector Regression |
logb1, logb2, logb3, logb4, logb5, logb6, logb7 |
0.36 |
20.32 |
Pátzcuaro, Mexico |
Sentinel-3 |
|
|
31 |
Turbidity |
Linear Regression |
b7, b8 |
0.77 |
14.08 |
Pátzcuaro, Mexico |
Sentinel-3 |
|
|
16 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
0.11 |
15.88 |
Yuriria, Mexico |
Landsat 8 |
|
|
16 |
SDD |
Linear Regression |
b1, b4 |
0.22 |
0.046 |
Yuriria, Mexico |
Landsat 8 |
|
|
16 |
TSM |
Support Vector Regression |
logb5 |
0.19 |
20.83 |
Yuriria, Mexico |
Landsat 8 |
|
|
16 |
Turbidity |
Linear Regression |
b1, b3, b5, b7 |
0.32 |
21.42 |
Yuriria, Mexico |
Landsat 8 |
|
|
11 |
Chl-a |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.81 |
4.85 |
Yuriria, Mexico |
Sentinel-2 |
|
|
11 |
SDD |
Linear Regression |
logb1, logb3, logb4, logb5, logb6, logb7, logb8 |
0.68 |
0.07 |
Yuriria, Mexico |
Sentinel-2 |
|
|
11 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.11 |
107.57 |
Yuriria, Mexico |
Sentinel-2 |
|
|
11 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
0.82 |
14.63 |
Yuriria, Mexico |
Sentinel-2 |
|
|
17 |
Chl-a |
Support Vector Regression |
logb1, logb2, logb3, logb4, logb5 |
0.32 |
8.61 |
Yuriria, Mexico |
Sentinel-3 |
|
|
17 |
SDD |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.6 |
0.11 |
Yuriria, Mexico |
Sentinel-3 |
|
|
17 |
TSM |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.34 |
51.12 |
Yuriria, Mexico |
Sentinel-3 |
|
|
18 |
Turbidity |
Extreme Learning Machine (ELM) |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 |
0.83 |
23.32 |
Yuriria, Mexico |
Sentinel-3 |
|
|