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Estimation of Chlorophyll-a Concentrations in Lanalhue Lake Using Sentinel-2 MSI Satellite Images
 

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Estimation of Chlorophyll-a Concentrations in Lanalhue Lake Using Sentinel-2 MSI Satellite Images
Francisca Barraza-Moraga,Hernán Alcayaga,Alonso Pizarro,Jorge Félez-Bernal,Roberto Urrutia
2022

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Sample (n) Parameter Model/Algorithm Formula r^2 RMSE Study Area Satellite Reference


Formula Details


Sample (n) Parameter Model/Algorithm Formula r^2 RMSE Study Area Satellite Reference
24 Chl-a Linear Regression Chl-a = −32.3888 + 0.1949 × B2 + −0.1527 × B3 + −0.9148 × B4 + 0.8488 × B5 + 0.1287 × B7 + 0.2505 × B8A + 0.1674 × B11 + −0.3580 × B12 0.91 5.97 Lanalhue Lake, Chile Sentinel-2 TOA spring-summer
24 Chl-a Linear Regression Chl-a = −45.8781 + 0.1447 × B2 + −0.1262 × B3 + 0.2150 × B5 + −0.3866 × B6 + 0.2505 × B8A + 0.1203 × B11 + −0.2633 × B12 0.87 1.27 Lanalhue Lake, Chile Sentinel-2 TOA spring-summer
24 Chl-a Linear Regression Chl-a = 8.0035 + 0.0909 × B2 + −0.0999 × B3 + −0.4048 × B4 + 0.6738 × B5 + 0.1491 × B6 + −0.4849 × B7 + 0.2896 × B8A + −0.1577 × B11 0.98 2.58 Lanalhue Lake, Chile Sentinel-2 BOA spring-summer
24 Chl-a Linear Regression Chl-a = 7.3146 + −0.0575 × B02 + 0.1329 × B05 + −0.0925 × B06 + −0.2548 × B07 + 0.3379 × B8A + 0.0479 × B11 0.99 0.51 Lanalhue Lake, Chile Sentinel-2 BOA spring-summer
17 Chl-a Linear Regression Chl-a = −83.3051 + −0.0595 × B2 + 0.4792 × B3 + −0.4375 × B4 + 0.1006 × B5 + −0.1045 × B7 0.96 0.32 Lanalhue Lake, Chile Sentinel-2 TOA fall-winter
17 Chl-a Linear Regression Chl-a = 8.5290 + −0.0460 × B3 − 0.0440 × B4 + 0.1412 × B5 + −0.0288 × B6 + 0.0429 × B7 + −0.2077 × B11 + 0.1669 × B12 0.94 0.43 Lanalhue Lake, Chile Sentinel-2 BOA fall-winter