%0 Conference Proceedings
%4 dpi.inpe.br/marte/2011/06.28.13.42
%2 dpi.inpe.br/marte/2011/06.28.13.42.35
%@isbn 978-85-17-00056-0 (Internet)
%@isbn 978-85-17-00057-7 (DVD)
%T Avaliação preliminar do modelo SEBAL para a estimativa da distribuição espacial da evapotranspiração em áreas irrigadas no noroeste paulista
%D 2011
%A Hernandez, Fernando Braz Tangerino,
%A Neale, Christopher,
%A Taghvaeian, Saleh,
%A Teixeira, Antônio Heriberto de Castro,
%@affiliation Universidade Estadual Paulista - UNESP
%@affiliation Utah State University
%@affiliation Utah State University
%@affiliation Embrapa Semi árido
%@electronicmailaddress fbthtang@agr.feis.unesp.br
%@electronicmailaddress christopher.neale@usu.edu
%@electronicmailaddress s.t@aggiemail.edu
%@electronicmailaddress heriberto@cpatsa.embrapa.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
%C Curitiba
%8 30 abr. - 5 maio 2011
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 5209-5216
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K remote sensing, image processing, energy balance, sensoriamento remoto, processamento de imagens.
%X This paper describes the methodology used for estimating actual evapotranspiration of 20 center pivots using two different methods namely the traditional reference evapotranspiration and crop coefficient method and the remote sensing based energy balance model called SEBAL. The methods were applied to a Landsat Thematic Mapper 5 image acquired over the northwest portion of the State of Sao Paulo, Brazil in July, 2010. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. Reference evapotranspiration was obtained from automated weather stations close to the study site. The results show that for the corn pivots at full effective cover, the SEBAL method resulted in actual evapotranspiration values similar to the estimated through the traditional crop coefficient method. However for some corn pivots the traditional method underestimated the evapotranspiration due to the assumptions made with the crop coefficient. This study shows that remote sensing can be a useful tool for monitoring and establishing realistic crop coefficients in new agro-climatic regions. Future research with additional images during the growing season will be used to establish the necessary adjustments to the traditional crop coefficients.
%9 Meteorologia, Atmosfera e Agrometeorologia
%@language pt
%3 p1389.pdf