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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Identifying drought events in sugarcane using drought indices derived from Modis sensor

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Autor(es):
Araujo Picoli, Michelle Cristina [1] ; Duft, Daniel Garbellini [2] ; Machado, Pedro Gerber [3]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Fac Engn Agr, Caixa Postal 6011, BR-13083875 Campinas, SP - Brazil
[2] Lab Nacl Ciencia & Tecnol Bioetanol, Caixa Postal 6192, BR-13083970 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Fac Engn Mecan, Caixa Postal 6122, BR-13083970 Campinas, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Pesquisa Agropecuária Brasileira; v. 52, n. 11, p. 1063-1071, NOV 2017.
Citações Web of Science: 0
Resumo

The objective of this work was to evaluate the potential of several spectral indices, calculated using moderate resolution imaging spectroradiometer (Modis) images, in identifying drought events in sugarcane (Saccharum officinarum) crops. 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. (AU)

Processo FAPESP: 14/17090-5 - Impacto das condições climáticas na produtividade da cana-de-açúcar
Beneficiário:Michelle Cristina Araujo Picoli
Linha de fomento: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Regular