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

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

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.

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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., COUTINHO, A. C., FIGUEIREDO, G. K. D. A., LAMPARELLI, R. A. C., ESQUERDO, J. C. D. M., MAGALHÃES, P. S. G.
Other Authors: INACIO THOMAZ BUENO, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; ANA PAULA SOLAS GOMES DUARTE TORO, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOÃO PAULO SAMPAIO WERNER, UNIVERSIDADE ESTADUAL DE CAMPINAS; ALEXANDRE CAMARGO COUTINHO, CNPTIA; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS; RUBENS AUGUSTO CAMARGO LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; PAULO SÉRGIO GRAZIANO MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2023-04-26
Subjects: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,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153363
https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-49-2023
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Summary: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.

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