2019-04-102019-04-102010-02-01ARAÚJO, Thayane Roberta Costa de. Determinação e validação da temperatura da superfície do mar a partir de mediações do sensor AVHRR/22 NOAA-14 na plataforma continental do Amazonas. Orientador: Alexandre Melo Casseb do Carmo. Coorientador: Pedro Walfir Martins e Souza Filho. 2010. 35 f. Trabalho de Curso (Bacharelado em Oceanografia) – Faculdade de Oceanografia, Instituto de Geociências, Universidade Federal do Pará, Belém, 2010. Disponível em: http://bdm.ufpa.br/jspui/handle/prefix/1265. Acesso em:.http://bdm.ufpa.br/jspui/handle/prefix/1265The temperature of the sea surface (SST) is important for studies of the oceans to be able to indicate the status of the meteorological weather and climate global. Knowing this, the SST has been included in numerical models of prevision weather, climate and ocean circulation as input to obtain a result closer to the real, however, that the predictions are successful, these models require that data have high accuracy. Thus, the study aimed to validate the SST extracted by the algorithms multichannel MCSST satellite NOAA-14, obtained by the sensor AVHRR/2, through measurements of in situ SST collected by ship in May 1999 the Program REVIZEE in the Continental Shelf Amazon. Was used 37 points and compared with 17 satellite images obtained with time interval maximum time range of ± 12 hours from the purchase of those, 4km resolution were processed with extraction of SST, georeferencing and interpolation getting 19 SST maps. Statistical analysis was calculated values of MBE, MAE and RMSE, anomaly standard percentage and rate of agreement. The differences maximum and minimum between values of SST measured in situ and satellite estimates were 1.4 and 0.01 °C, respectively. The SST obtained by ship, in general, presented more value than the SST estimated by satellite. However, despite this, the data showed a good significance because the magnitude of error was less than 6% (in module), and the values of MBE, MAE and RMSE were small (respectively, -0.47, 0.60 and 0.72 °C). The concordance index was 0.51 showing that the data compared were not even close nor distant. Thus, statistical analysis showed divergent, the correspondence between the data may be due mainly to clouds that lie in the area and period of data collection in situ, which reduced the number of observed data with the images of satellite and influenced the calculation of obtaining the SSTs and other errors.Acesso AbertoTemperatura da superfície do marSensoriamento remotoPlataforma ContinentalCNPQ::CIENCIAS EXATAS E DA TERRA::OCEANOGRAFIATrabalho de Curso - Graduação - Monografia