LAND USE AND LAND COVER CLASSIFICATION OF SENTINEL 2-A: ST PETERSBURG CASE STUDY

22 citations as recorded by crossref.

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5. Aplicação de dados Sentinel 1 e 2 via Machine Learning para Mapeamento do Uso e Cobertura da Terra na Área de Proteção Ambiental do Ibirapuitã, Bioma Pampa utilizando o algoritmo de classificação Random Forest M. Maidana de Andrade et al. https://doi.org/10.26848/rbgf.v17.5.p3715-3735
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14. Revisiting the Curve Number Approach for Improving Surface Runoff Estimation: A State-of-the-Art Review A. Panigrahi & M. Ramadas https://doi.org/10.1061/JIDEDH.IRENG-10173
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20. Projecting the urbanization effect on soil organic carbon stocks in polar and steppe areas of European Russia by remote sensing Y. Dvornikov et al. https://doi.org/10.1016/j.geoderma.2021.115039
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