Saad El Imanni, H.; El Harti, A.; Hssaisoune, M.; Velastegui-Montoya, A.; Elbouzidi, A.; Addi, M.; El Iysaouy, L.; El Hachimi, J.
Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region. J. Imaging 2022, 8, 316.
https://doi.org/10.3390/jimaging8120316
AMA Style
Saad El Imanni H, El Harti A, Hssaisoune M, Velastegui-Montoya A, Elbouzidi A, Addi M, El Iysaouy L, El Hachimi J.
Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region. Journal of Imaging. 2022; 8(12):316.
https://doi.org/10.3390/jimaging8120316
Chicago/Turabian Style
Saad El Imanni, Hajar, Abderrazak El Harti, Mohammed Hssaisoune, Andrés Velastegui-Montoya, Amine Elbouzidi, Mohamed Addi, Lahcen El Iysaouy, and Jaouad El Hachimi.
2022. "Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region" Journal of Imaging 8, no. 12: 316.
https://doi.org/10.3390/jimaging8120316
APA Style
Saad El Imanni, H., El Harti, A., Hssaisoune, M., Velastegui-Montoya, A., Elbouzidi, A., Addi, M., El Iysaouy, L., & El Hachimi, J.
(2022). Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region. Journal of Imaging, 8(12), 316.
https://doi.org/10.3390/jimaging8120316
