Rice crop detection using LSTM, Bi-LSTM, and machine learning models from sentinel-1 time series
The Synthetic Aperture Radar (SAR) time series allows describing the rice phenological cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel-1 program expands studies of radar data (C-band) for rice monitoring at regional scales, due to the high temporal resolu...
| Main Authors: | Castro Filho, Hugo Crisóstomo de, Carvalho Júnior, Osmar Abílio de, Carvalho, Osmar Luiz Ferreira de, Bem, Pablo Pozzobon de, Moura, Rebeca dos Santos de, Albuquerque, Anesmar Olino de, Silva, Cristiano Rosa, Ferreira, Pedro Henrique Guimarães, Guimarães, Renato Fontes, Gomes, Roberto Arnaldo Trancoso |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: |
https://repositorio.unb.br/handle/10482/41912 https://doi.org/10.3390/rs12162655 https://orcid.org/ 0000-0002-0346-1684 https://orcid.org/ 0000-0002-5619-8525 https://orcid.org/ 0000-0003-3868-8704 https://orcid.org/ 0000-0002-7685-8826 https://orcid.org/ 0000-0003-1561-7583 https://orcid.org/ 0000-0001-6610-3078 https://orcid.org/ 0000-0002-9555-043X https://orcid.org/ 0000-0003-4724-4064 |
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