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.

Brasil | Artigo de periódico

Registro en:

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLVIII-M-1-2023, p. 49-55, 2023.

http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153363

https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-49-2023

https://repositorioslatinoamericanos.uchile.cl/handle/2250/8636545

Autor

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.

Institución

EMBRAPA (Brasil)

Resumen

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.