Article Versions Notes

Magalhães IAL, de Carvalho Júnior OA, de Carvalho OLF, de Albuquerque AO, Hermuche PM, Merino ÉR, Gomes RAT, Guimarães RF. Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series. Remote Sensing. 2022; 14(19):4858. https://doi.org/10.3390/rs14194858

Magalhães, Ivo Augusto Lopes, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Potira Meirelles Hermuche, Éder Renato Merino, Roberto Arnaldo Trancoso Gomes, and Renato Fontes Guimarães. 2022. "Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series" Remote Sensing 14, no. 19: 4858. https://doi.org/10.3390/rs14194858

Magalhães, I. A. L., de Carvalho Júnior, O. A., de Carvalho, O. L. F., de Albuquerque, A. O., Hermuche, P. M., Merino, É. R., Gomes, R. A. T., & Guimarães, R. F. (2022). Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series. Remote Sensing, 14(19), 4858. https://doi.org/10.3390/rs14194858