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

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

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.

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Bibliographic Details
Main Authors: 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.
Other Authors: INACIO THOMAZ BUENO, UNIVERSIDADE ESTADUAL DE CAMPINAS
Format: Anais e Proceedings de eventos biblioteca
Language:Ingles
English
Published: 2023-04-04
Subjects:Análise de imagem baseada em objetos, Fator de escala, Object-based image analysis, SNIC, Simple Non-Iterative Clustering, Scale factor, Google Earth Engine, Random Forest,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152965
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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.

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