National Remote Sensing Bulletin · 2008 · 11 citations · 0 references
Natural SciencesEarth SciencesClimate ScienceClimatologyRemote SensingSatellite Data CalibrationSatellite Data ValidationSatellite InstrumentationSatellite SensorsSolar RadiationAgricultural Production ModelingEarth Energy BalanceSolar InsolationSolar Radiation MeasurementSolar Radiation RetrievalsSolid AngleValidation Error
In this study, we estimate solar surface insolation (SSI) by using physical methods with MTSAT-1R data. SSI is regarded as crucial parameter when interpreting solar-earth energy system, climate change, and agricultural production predict application. Most of SSI estimation model mainly uses ground based-measurement such as pyranometer to tune the constructed model and to validate retrieved SSI data from optical channels. When compared estimated SSI with pyranometer measurements, there are some systemic differences between those instruments. The pyranometer data observed upward-looking hemispherical solid angle and distributed hourly measurements data which are averaged every 2 minute instantaneous observation. Whereas MTSAT-1R channels data are taken instantaneously images at fixed measurement time over scan area, and are pixel-based observation with a much smaller solid angle view. Those temporal discrepancies result from systemic differences can induce validation error. In this study, we adjust hour when estimate SSI to improve the retrieved accurate SSI.