Data/hora: 23/09/2024 18:52:19

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	22/12/2017	
Data da última atualização: 	22/12/2017	
Autoria: 	PICOLI, M. C. A.; DRUFT, D. G.; MACHADO, P. G.	
Afiliação: 	Michelle Cristina Araujo Picoli, Universidade Estadual de Campinas/Faculdade de Engenharia Agrícola; Daniel Garbellini Duft, Laboratório Nacional de Ciência e Tecnologia do Bioetanol; Pedro Gerber Machado, Universidade Estadual de Campinas/Faculdade de Engenharia Mecânica.	
Título: 	Identifying drought events in sugarcane using drought indices derived from Modis sensor.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n, 11, p. 1063-1071, novembro 2017.	
Idioma: 	Português	
Notas: 	Título em português:  Identificação de eventos de seca em cana-de-açúcar com base em índices de seca derivados do sensor Modis.	
Conteúdo: 	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	
Palavras-Chave: 	Imagem por satélite; Processamento de imagens; Satellite imagery; Sistemas de alerta; SPEI; Tress hídrico; Warning systems.	
Thesagro: 	Saccharum Officinarum.	
Thesaurus Nal: 	Image analysis; Water stress.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/169723/1/Identifying-drought-events-in-sugarcane.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (62082-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS