Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)

Authors

  • Rodrigo Moura Pereira Universidade Federal de Goiás
  • Derblai Casaroli Universidade Federal de Goiás
  • Lucas Melo Vellame Universidade Federal do Recôncavo da Bahia
  • José Alves Júnior Universidade Federal de Goiás
  • Adão Wagner Pêgo Evangelista Universidade Federal de Goiás

Keywords:

Saccharum spp., vegetal growth, image analysis.

Abstract

Large farmland areas and the knowledge on the interaction between solar radiation and vegetation canopies have increased the use of data from orbital remote sensors in sugarcane monitoring. However, the constituents of the atmosphere affect the reflectance values obtained by imaging sensors. This study aimed at improving a sugarcane Leaf Area Index (LAI) estimation model, concerning the Normalized Difference Vegetation Index (NDVI) subjected to atmospheric correction. The model generated by the NDVI with atmospheric correction showed the best results (R² = 0.84; d = 0.95; MAE = 0.44; RMSE = 0.55), in relation to the other models compared. LAI estimation with this model, during the sugarcane plant cycle, reached a maximum of 4.8 at the vegetative growth phase and 2.3 at the end of the maturation phase. Thus, the use of atmospheric correction to estimate the sugarcane LAI is recommended, since this procedure increases the correlations between the LAI estimated by image and by plant parameters.

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Author Biography

Rodrigo Moura Pereira, Universidade Federal de Goiás

Engenheiro Agrícola

Mestrado em Agronomia - Solo e Água

NUCLIRH - UFG (Núcleo de Pesquisas em Recursos Hídricos do Cerrado)

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Published

2016-06-21

How to Cite

PEREIRA, R. M.; CASAROLI, D.; VELLAME, L. M.; ALVES JÚNIOR, J.; EVANGELISTA, A. W. P. Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI). Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics], Goiânia, v. 46, n. 2, p. 140–148, 2016. Disponível em: https://revistas.ufg.br/pat/article/view/39303. Acesso em: 22 nov. 2024.

Issue

v. 46, n. 2, Apr./Jun. 2016

Section

Research Article

License

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