Ciancia, E.; Campanelli, A.; Colonna, R.; Palombo, A.; Pascucci, S.; Pignatti, S.; Pergola, N.
Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy). Remote Sens. 2023, 15, 5718.
https://doi.org/10.3390/rs15245718
AMA Style
Ciancia E, Campanelli A, Colonna R, Palombo A, Pascucci S, Pignatti S, Pergola N.
Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy). Remote Sensing. 2023; 15(24):5718.
https://doi.org/10.3390/rs15245718
Chicago/Turabian Style
Ciancia, Emanuele, Alessandra Campanelli, Roberto Colonna, Angelo Palombo, Simone Pascucci, Stefano Pignatti, and Nicola Pergola.
2023. "Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy)" Remote Sensing 15, no. 24: 5718.
https://doi.org/10.3390/rs15245718
APA Style
Ciancia, E., Campanelli, A., Colonna, R., Palombo, A., Pascucci, S., Pignatti, S., & Pergola, N.
(2023). Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy). Remote Sensing, 15(24), 5718.
https://doi.org/10.3390/rs15245718
