Rubin, H.J.; Lutz, D.A.; Steele, B.G.; Cottingham, K.L.; Weathers, K.C.; Ducey, M.J.; Palace, M.; Johnson, K.M.; Chipman, J.W.
Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine Learning. Remote Sens. 2021, 13, 1434.
https://doi.org/10.3390/rs13081434
AMA Style
Rubin HJ, Lutz DA, Steele BG, Cottingham KL, Weathers KC, Ducey MJ, Palace M, Johnson KM, Chipman JW.
Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine Learning. Remote Sensing. 2021; 13(8):1434.
https://doi.org/10.3390/rs13081434
Chicago/Turabian Style
Rubin, Hannah J., David A. Lutz, Bethel G. Steele, Kathryn L. Cottingham, Kathleen C. Weathers, Mark J. Ducey, Michael Palace, Kenneth M. Johnson, and Jonathan W. Chipman.
2021. "Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine Learning" Remote Sensing 13, no. 8: 1434.
https://doi.org/10.3390/rs13081434
APA Style
Rubin, H. J., Lutz, D. A., Steele, B. G., Cottingham, K. L., Weathers, K. C., Ducey, M. J., Palace, M., Johnson, K. M., & Chipman, J. W.
(2021). Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine Learning. Remote Sensing, 13(8), 1434.
https://doi.org/10.3390/rs13081434