International Symposium on Remote Sensing of Environment · 1980 · 29 citations · 0 references
GeophysicsEarth ObservationRadarMeteorologyEngineeringSynthetic Aperture RadarAtmospheric ScienceAr Parameter VariesGeographyLandsat DataRemote SensingMa CoefficientLandsat AutocorrelationEarth Observation DataShort-term VariabilitySatellite ImagingGeodesy
Analysis of sixty-four scan lines representing diverse conditions across satellites, channels, scanners, locations and cloud cover confirms that Landsat data are autocorrelated and consistently follow an Arima (1,0,1) pattern. The AR parameter varies significantly with location and the MA coefficient with cloud cover. Maximum likelihood classification functions are considerably in error unless this autocorrelation is compensated for in sampling.