%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.31
%2 sid.inpe.br/marte2/2017/10.27.16.31.03
%@isbn 978-85-17-00088-1
%F 59802
%T Uso de Sensoriamento Remoto para preenchimento de falhas em séries pluviométricas
%D 2017
%A Alves, Welber Ferreira,
%A Freitas, Erica Yoshida de,
%A Campos, Camila Aida,
%A Roig, Henrique Llacer,
%@electronicmailaddress welber.alves@adasa.df.gov.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 7812-7818
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X It is very important to have hydrology data, because the possibility to know about characteristics from a place and so to plan about the trends, even though because it is common history to repeat. But it is very expensive and difficult to have data from many places, and this fact can be serious in critical areas. This way, remote sensing can be a good solution to solve these problems. So this paper analyzes data from satellite TRMM, one of the main, and interpolation techniques IDW and Thiessen Polygons using data from Rain Gauges localized in Distrito Federal, Brazilians capital, in order to allow using data from remote sensing to fill blanks in annual data and averages data from stations points or areas without it. After comparatives it is possible to identify low differences between these data, principal comparing averages region annual, although the data from TRMM is lower than others when it compares point by point. So if the necessity is annual data or annual averages it is a good choice using data from remote sensing to areas without monitoring points, knowing its limitations, but to complete blanks in months or days it is possible the error is very high.
%9 Hidrologia
%@language pt
%3 59802.pdf