Land use/land cover classification in a heterogeneous agricultural landscape using PlanetScope data.

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

Land use/land cover classification in a heterogeneous agricultural landscape using PlanetScope data.

Autores

FIGUEIREDO, G. K. D. A.

LAMPARELLI, R. A. C.

ESQUERDO, J. C. D. M.

MAGALHÃES, P. S. G.

Descripción

This study evaluated the accuracy of LULC classification based on an initial clustering step in a heterogeneous agricultural landscape using PlanetScope imagery while checking for variability among their Normalized Difference Vegetation Index (NDVI) temporal signatures.
Edition of proceedings of the 39th International Symposium on Remote Sensing of Environment (ISRSE-39) "From Human Needs to SDGs", 2023, Antalya, Türkiye.

Palabras clave

Clusterização, Culturas agrícolas, Floresta aleatória, Assinatura espectro-temporal, Variabilidade intraclasse, Cobertura da terra, Clustering, Agricultural crops, OBIA, Object-Based Image Analysis, Random Forest, Spectro-temporal signature, Intra-class variability, Uso da Terra, Land use, Land cover