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Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.

, , , , , , , , , , и . IGARSS, стр. 1078-1081. IEEE, (2020)

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Miguel Soares

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Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 1078-1081. IEEE, (2020)Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics., , , , и . IGARSS, стр. 168-171. IEEE, (2020)Improvements of the divide and segment method for parallel image segmentation., , и . GEOINFO, стр. 222-232. MCTI/INPE, (2015)Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia., , , , и . IGARSS, стр. 3716-3719. IEEE, (2019)Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah., , , , , , , и . Pattern Recognit. Lett., (2021)Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction., , , , , , , и . IGARSS, стр. 2061-2064. IEEE, (2020)Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest., , , , , , , , , и 1 other автор(ы). Remote. Sens., 12 (8): 1284 (2020)Land Cover Classification of an Area Susceptible to Landslides Using Random Forest and NDVI Time Series Data., , , , , и . IGARSS, стр. 1345-1348. IEEE, (2020)