Land use/land cover classification and scale effect analysis for a multi-temporal superpixel-based segmentation using PlanetScope data.

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Author(s): BUENO, I. T.; ANTUNES, J. F. G.; TORO, A. P. S. G. D.; WERNER, J. P. S.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G.

Summary: This study evaluated the accuracy and suitability of LULC classifications based on the scale effect of a multi-temporal superpixel-based segmentation using PlanetScope (PS) data.

Publication year: 2023

Types of publication: Paper in annals and proceedings

Unit: Embrapa Digital Agriculture

Keywords: Análise de imagem baseada em objetos, Fator de escala, Google Earth Engine, Object-based image analysis, Random Forest, SNIC, Scale factor, Simple Non-Iterative Clustering

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