IEEE Geoscience and Remote Sensing Letters · 2015 · 41 citations · 13 references
Natural SciencesEarth SciencesRemote SensingSatellite MeteorologySoil ScienceLand Cover ClassificationLand Surface ModelingLand Surface MonitoringSatellite Data ValidationSatellite InstrumentationSatellite SensorsEddy Covariance MeasurementsFlux Footprint AnalysisFlux MeasurementLand Cover AnalysisLand Cover DataRemote Sensing Of Surface FluxesSatellite Remote Sensing DataSpatial Scale Effects
To validate satellite-based surface fluxes by ground measurements properly, several numerical simulations were carried out at a homogeneous alpine meadow site and mixed cropland site, considering various atmospheric conditions and different land cover distribution types. By comparing various pixel selection methods, the results showed that footprint was significant in insuring a consistent spatial scale between ground measurements and satellite-based surface fluxes, particularly for heterogeneous surface and high-resolution remote sensing data. Because large aperture scintillometer measurements cover larger areas than eddy covariance (EC) system measurements, the spatial heterogeneity at a subpixel scale in complicated surface should be further considered in validating coarse satellite data. Thus, more accurate validation data and scaling methods must be developed, such as measuring surface fluxes at the satellite pixel scale by a flux measurement matrix or airborne EC measurements.
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Watershed Allied Telemetry Experimental Research
Xin Li, Xiaowen Li, Zengyuan Li et al. · Journal of Geophysical Research Atmospheres · 2009 · 408 citations