Error analysis of subpixel lava temperature measurements using infrared remotely sensed data

摘要

When remote sensing users are asked to define their requirements for a new sensor, the bigquestion that always arises is: will the technical specifications meet the scientific requirements?Herein, we discuss quantitative relationships between instrumental spectral and radiometriccharacteristics and data exploitable for lava flow subpixel temperature analysis. This studywas funded within the framework of ESA activities for the IR GMES (Global Monitoringfor Environment and Security) element mission requirements in 2005. Subpixel temperatureretrieval from satellite infrared data is a well-established method that is well documented inthe remote sensing literature. However there is little attention paid to the error analysis onestimated parameters due to atmospheric correction and radiometric accuracy of the sensor. Inthis study, we suggest the best spectral bands combination to estimate subpixel temperature parameters.We also demonstrate that poor atmospheric corrections may vanish the effectivenessof the most radiometrically accurate instrument.