Water surface temperature estimation from Landsat 7 ETM+ thermal infrared data using the generalized single-channel method: Case study of Embalse del Río Tercero (Córdoba, Argentina)

摘要: Abstract Monitoring of warm distribution in water is fundamental to understand the performance and functioning reservoirs lakes. Surface temperature a key parameter physics aquatic systems processes since it closely related energy fluxes through water–atmosphere interface. Remote sensing applied quality studies inland waterbodies powerful tool that can provide additional information difficult achieve by other means. The combination good real-time coverage, spatial resolution free availability data makes Landsat system proper alternative. Many papers have developed algorithms retrieve surface (principally, land temperature) from at-sensor emissivity data. aim this study apply single-channel generalized method (SCGM) Jimenez-Munoz Sobrino (2003) for estimation 7 ETM+ thermal bands. We consider constant value (0.9885) we compare results with radiative transfer classic (RTM). choose Embalse del Rio Tercero (Cordoba, Argentina) as case because reservoir affected outlet cooling nuclear power plant, whose plume could influence biota’s biodiversity. These characteristics existence long term make an adequate place test methodology. Values estimated observed temperatures obtained two compared methods were correlated applying simple regression model. Correlation coefficients significant ( R 2 : 0.9498 SCGM 0.9584 RTM method) while their standard errors acceptable both cases (SCGM method: RMS = 1.2250 RMS = 1.0426). Nevertheless, estimate rather small differences between sites consistently field measurements. Besides, has advantage only uses values atmospheric vapor be different sensors using same equation coefficients.