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...

Full description

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
Format: Artigo
Language: Inglês
Published: MDPI 2021
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
Tags: Add Tag
No Tags, Be the first to tag this record!