EFEITOS DA CORREÇÃO ATMOSFÉRICA EM IMAGENS MULTIESPECTRAIS ORBITAIS PARA ESTUDOS EM CORPOS D’ÁGUA INTERIORES
Resumo
Os reservatórios hídricos além de serem importantes para a produção de energia elétrica, são recursos para outras necessidades da população. Imagens de sensores orbitais são aplicadas para complementar o monitoramento desses ambientes e assim suprir a deficiência de cobertura espacial e temporal das técnicas tradicionais. No entanto estudos envolvendo análises volumétricas de corpos d’água ainda são um grande desafio devido ao baixo sinal proveniente do corpo d’água e a interferência de fatores externos (ou fatores ambientais). Procedimentos de correção/melhoramento das imagens são propostos com frequencia, principalmente para a redução da interferencia atmosférica. Nesse estudo foram avaliadas as melhores técnicas de correção atmosférica disponíveis comercialmente no intuito de indicar aquela técnica que mais se aproxima da resposta espectral de sensoriamento remoto obtida em campo (referência). No decorrer do estudo foram aplicados seis algoritmos de correção atmosférica (FLAASH, Second simulation of a Satellite Signal in the Solar Spectrum (6S), L8SR, Aquatic Reflectance (USGS), ACOLITE e Sen2Cor) que, a partir das análises estatísticas de análise discriminante e covariância apontaram os aplicativos 6S para imagens Landsat e Sentinel e o Acolite para imagens Landsat como os mais acurados. Embora o 6S tenha apresentado resposta próxima dos dados de referencia, observou-se baixa variabilidade na resposta espectral. Para séries temporais, o Acolite apresentou maior capacidade de correção dos dados. O tipo de aplicação também é um fator preponderante, pois ficou evidente que o uso de series temporais indicou uma técnica de correção atmosférica diferente quando comparado com a análise das cenas de forma individual.
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DOI: http://dx.doi.org/10.5380/raega.v58i0.91408
