Data/hora: 07/06/2024 04:43:31

Provedor de dados: | 86
País: | Brazil
Título: | Identifying drought events in sugarcane using drought indices derived from Modis sensor
Autores: | Picoli,Michelle Cristina Araujo; Duft,Daniel Garbellini; Machado,Pedro Gerber.
Data: | 2017-11-01
Ano: | 2017
Palavras-chave: | Saccharum officinarum; Drought stress; Image processing; Satellite imagery; SPEI; Warning systems.
Resumo: | Abstract: The objective of this work was to evaluate the potential of several spectral indices, used on moderate resolution imaging spectroradiometer (Modis) images, in identifying drought events in sugarcane. Images of Terra and Aqua satellites were used to calculate the spectral indices, using visible (red), near infrared, and shortwave infrared bands, and eight indices were selected: NDVI, EVI2, GVMI, NDI6, NDI7, NDWI, SRWI, and MSI. The indices were calculated using images between October and April of the crop years 2007/08, 2008/09, 2009/10, and 2013/14. These indices were then correlated with the standardized precipitation-evapotranspiration index (SPEI), calculated for 1, 3, and 6 months. Four of them had significant correlations with SPEI: GVMI, MSI, NDI7, and NDWI. Spectral indices from Modis sensor on board the Aqua satellite (MYD) were more suited for drought detection, and March provided the most relevant indices for that purpose. Drought indices calculated from Modis sensor data are effective for detecting sugarcane drought events, besides being able to indicate seasonal fluctuations.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001101063

Editor:

Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira

Relação: | 10.1590/s0100-204x2017001100012
Formato: | text/html
Fonte: | Pesquisa Agropecuária Brasileira  v.52 n.11 2017
Fonte: | info:eu-repo/semantics/openAccess