%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.22.37
%2 sid.inpe.br/marte2/2017/10.27.12.22.38
%@isbn 978-85-17-00088-1
%F 59240
%T Análises estatísticas da similaridade entre dados agrometeorológicos de superfície e obtidos por sensores remotos orbitais
%D 2017
%A Pinheiro, Mirian Paula Medeiros Andre,
%A Ramires, Thiago,
%A Manzione, Rodrigo Lilla,
%@electronicmailaddress medeirosmirian@yahoo.com.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 1635-1642
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X In agriculture, monitoring of rainfall and evapotranspiration are important for a good agricultural planning, as they are the main forms of input and output water plant-water-soil system. weather surface stations are the traditional way to obtain this information. However, with the advancement and popularization of remote sensing is much discussion about how these products can help the activities within agricultural areas. This work studied the application of meteorological stations data and TRMM and MODIS satellites to precipitation and evapotranspiration estimates, respectively, in the Ecological Station of Avare (EEcAv). The study area is located in the city of Avare-SP, located in the state southwest region, with a land area of approximately 709 ha. Two sets of data monitored between January 2004 to December 2013 were analyzed statistically as the similarity of their distributions through scatter plots, linear correlation analysis, distribution functions of probability and simple linear regression. The results show that the data acquired by the TRMM satellite and the MOD16 sensor offer a good agreement with surface data, and their differences acceptable for land planning purposes for irrigation and drainage control in agricultural areas. For specific management practices, such as applications of irrigation water, one should be cautious in adopting certain data, taking into account the type of rainfall, climate conditions and size of the property.
%9 Geoprocessamento e aplicações
%@language pt
%3 59240.pdf