Sugarcane leaf area estimate obtained from the corrected normalized difference vegetation index (NDVI)
Carregando...
Data
2016-05-30
Título da Revista
ISSN da Revista
Título de Volume
Editor
Evandro Novaes
Resumo
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.
Descrição
v. 46, n. 2, p. 140-148, apr./jun. 2016.
Palavras-chave
Saccharum spp., Vegetal growth, Image analysis, Crescimento vegetal, Processamento de imagem
Citação
PEREIRA, Rodrigo Moura; CASAROLI, Derblai; VELLAME, Lucas Melo; ALVES JÚNIOR, José; EVANGELISTA, Adão Wagner Pêgo. Sugarcane leaf area estimate obtained from the corrected normalized difference vegetation index (NDVI). Pesquisa Agropecuária Tropical, Goiânia, v. 46, n. 2, p. 140-148, apr./jun. 2016. Disponível em:< http://www.revistas.ufg.br/pat/article/view/39303/21157>.