Novoa, S.; Doxaran, D.; Ody, A.; Vanhellemont, Q.; Lafon, V.; Lubac, B.; Gernez, P.
Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters. Remote Sens. 2017, 9, 61.
https://doi.org/10.3390/rs9010061
AMA Style
Novoa S, Doxaran D, Ody A, Vanhellemont Q, Lafon V, Lubac B, Gernez P.
Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters. Remote Sensing. 2017; 9(1):61.
https://doi.org/10.3390/rs9010061
Chicago/Turabian Style
Novoa, Stéfani, David Doxaran, Anouck Ody, Quinten Vanhellemont, Virginie Lafon, Bertrand Lubac, and Pierre Gernez.
2017. "Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters" Remote Sensing 9, no. 1: 61.
https://doi.org/10.3390/rs9010061
APA Style
Novoa, S., Doxaran, D., Ody, A., Vanhellemont, Q., Lafon, V., Lubac, B., & Gernez, P.
(2017). Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters. Remote Sensing, 9(1), 61.
https://doi.org/10.3390/rs9010061