Publication | Open Access
Characteristics of maximum-value composite images from temporal AVHRR data
3K
Citations
22
References
1986
Year
Precision AgricultureEnvironmental MonitoringEngineeringSouthern AfricaForestryMulti-image FusionTerrestrial SensingEarth ScienceImage Sequence AnalysisImage AnalysisVegetation-atmosphere InteractionsAtmospheric ScienceThermal Infrared Remote SensingHealth SciencesMeteorologyMedical ImagingGeographyImage StitchingRadiometryEarth Observation DataComputer VisionClimatologyMaximum-value Composite ImagesRemote SensingFinal Composite ImageOptical Remote SensingRemote Sensing SensorAbstract Red
Abstract Red and near-infrared satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics. The technique minimizes cloud contamination, reduces directional reflectance and off-nadir viewing effects, minimizes sun-angle and shadow effects, and minimizes aerosol and water-vapour effects. The improvement is highly dependent on the state of the atmosphere, surface-cover type, and the viewing and illumination geometry of the sun, target and sensor. An example from southern Africa showed an increase of 40 per cent from individual image values to the final composite image. Limitations' associated with the technique are discussed, and recommendations are given to improve this approach
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