MISR Radiometric Uncertainty analyses and their Utilization within Geophysical Retrievals
The multi-angle Imaging SpecroRadiometer (MISR) instrument is to be launched with the Earth Observing System EOS-AM1 spacecraft in 1998.
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The multi-angle Imaging SpecroRadiometer (MISR) instrument is to be launched with the Earth Observing System EOS-AM1 spacecraft in 1998.
The Multi-angle Imaging Spectro Radiometer (MISR) instrument consists of nine pushbroom cameras pointing at discrete view angles.
This paper describes a modeling system for the simulation of the Multi-angle Imaging Spectro-Radiometer (MISR) instrument push-broom data to be used in the prototyping of the MISR ground data system.
Atmospheric Correction schemes, using various levels of approximation, are described to retrieve surface bidirectional reflectance factors and directional hemispherical reflecances from multi-angle radiance measuremensts.
The Multi-angle Imaging SpectroRadiometer (MISR) is an Earth observing sensor which will provide global retrievals of aerosols, clouds, and land surface parameters. Instrument specifications require high accuracy absolute calibration, as well as accurate camera-to-camera, band-to-band and pixel-to-pixel relative response determinations.
The Multi-angle Imaging SpectroRadiometer (MISR) is an Earth-observing sensor which provides global retrievals of aerosols, clouds, and land surface parameters. Instrument specifications require an accurate absolute calibration, as well as accurate camera-to-camera, band-to-band, and pixel-to-pixel relative response determinations. In order to achieve these requirements, MISR makes use of an on-board calibrator (OBC), as well as vicarious calibration (VC) experiments.
The Multi-angle Imaging SpectroRadiometer (MISR) is one of five instruments on the EOS/Terra spacecraft. This paper reports on the validation studies, and the post-launch radiometric response of the MISR cameras as determined during the first six months of on-orbit MISR calibration.
Multiangle, multispectral remote sensing observations, such as those anticipated from the Earth Observing System (EOS) Multi-angle Imaging SpectroRadiometer (MISR), can significantly improve our ability to constrain aerosol properties from space.
This paper presents the above three processing steps starting from an accurate and efficient project of multi-angle MISR image data to the ellipsoid surface, followed by a mathematical derivation which separates the cloud motion and height, and finally an automatic image matching and ray intersection algorithm for high resolution cloud top height retrieval.
An Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) instrument has been developed to assist in validation of the Earth Observing System (EOS) MISR experiment.
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This talk discusses a method for creating low-volume versions of massive geophysical data sets that approximately retain high-resolution data structure.
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