Agrawal, N.; Govil, H.; Mishra, G.; Gupta, M.; Srivastava, P.K.
Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm. Remote Sens. 2023, 15, 3133.
https://doi.org/10.3390/rs15123133
AMA Style
Agrawal N, Govil H, Mishra G, Gupta M, Srivastava PK.
Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm. Remote Sensing. 2023; 15(12):3133.
https://doi.org/10.3390/rs15123133
Chicago/Turabian Style
Agrawal, Neelam, Himanshu Govil, Gaurav Mishra, Manika Gupta, and Prashant K. Srivastava.
2023. "Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm" Remote Sensing 15, no. 12: 3133.
https://doi.org/10.3390/rs15123133
APA Style
Agrawal, N., Govil, H., Mishra, G., Gupta, M., & Srivastava, P. K.
(2023). Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm. Remote Sensing, 15(12), 3133.
https://doi.org/10.3390/rs15123133