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Mapping Integrated Crop-Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning., , , , , , , , , и 2 other автор(ы). Remote. Sens., 16 (8): 1421 (апреля 2024)SiRCub: A Novel Approach to Recognize Agricultural Crops Using Supervised Classification., , , , и . Int. J. Agric. Environ. Inf. Syst., 8 (4): 20-36 (2017)Contextual superpixel description for remote sensing image classification., , , , , и . IGARSS, стр. 1132-1135. IEEE, (2015)Integration of sar and optical dense time series for land cover monitoring., , , , , и . IGARSS, стр. 4330-4333. IEEE, (2017)SATVeg: A web-based tool for visualization of MODIS vegetation indices in South America., , , , , и . Comput. Electron. Agric., (2020)SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms., , , , , , , , и . Remote. Sens., 15 (4): 1130 (февраля 2023)Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery., , , , , , , , , и . Remote. Sens., 12 (16): 2534 (2020)Dinâmica da intensificação da agricultura temporária na Área de Proteção Ambiental Ilha do Bananal-Cantão., , , , , , и . GEOINFO, стр. 246-251. MCTIC/INPE, (2020)Deep Neural Networks for Mapping Integrated Crop-Livestock Systems Using Planetscope Time Series., , , , , , , , , и . IGARSS, стр. 4224-4227. IEEE, (2021)