Tola, D.; Bustillos, L.; Arragan, F.; Chipana, R.; Hostache, R.; Resongles, E.; Espinoza-Villar, R.; Zolá, R.P.; Uscamayta, E.; Perez-Flores, M.;
et al. High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models. Remote Sens. 2025, 17, 2129.
https://doi.org/10.3390/rs17132129
AMA Style
Tola D, Bustillos L, Arragan F, Chipana R, Hostache R, Resongles E, Espinoza-Villar R, Zolá RP, Uscamayta E, Perez-Flores M,
et al. High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models. Remote Sensing. 2025; 17(13):2129.
https://doi.org/10.3390/rs17132129
Chicago/Turabian Style
Tola, Diego, Lautaro Bustillos, Fanny Arragan, Rene Chipana, Renaud Hostache, Eléonore Resongles, Raúl Espinoza-Villar, Ramiro Pillco Zolá, Elvis Uscamayta, Mayra Perez-Flores,
and et al. 2025. "High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models" Remote Sensing 17, no. 13: 2129.
https://doi.org/10.3390/rs17132129
APA Style
Tola, D., Bustillos, L., Arragan, F., Chipana, R., Hostache, R., Resongles, E., Espinoza-Villar, R., Zolá, R. P., Uscamayta, E., Perez-Flores, M., & Satgé, F.
(2025). High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models. Remote Sensing, 17(13), 2129.
https://doi.org/10.3390/rs17132129