Anticipated Results form the EOS Terra Multi-angle Imaging SpectroRadiometer
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Engineering topics
Publications and source records attributed to Diner, D..
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Explore the source record for details and available documents.
Explore the source record for details and available documents.
The physical interpretation of simultaneous multi-angle observations represents a relatively new approach to remote sensing of terrestrial geophysical and biophysical parameters.
This Experiment Overview is generated in order to summarize in a single document high level information about the Multi-angle Imaging SpectroRadiometer (MISR) instrument, measurement approach, science objectives, and data products.
This Algorithm Basis (ATB) document describes the algorithms used to retrieve the Radiometic Camera-by-camera Cloud Mask (RCCM) within the MISR level 1B2 Geo-rectified Radiance Product.
This Algorithm Theoretical Basis (ATB) document describes the algorithms used to retrieve the albedo parameters of the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Top-of-Atmosphere (TOA)/Cloud Product.
This Algorithm Theoretical Basis (ATB) document describes the algorithms used to retrieve the surface parameters of the MISR Level 2 Aerosol/Surface Product.
This Algorithm Basis (ATB) document describes the algorithms used to retrieve the aerosol parameters of the MISR Level 2 Aerosol/Surface Product.
The Multi-angle Imaging SpectroRadiometer (MISR) instrument is scheduled for launch in 1998 aboard the Earth Observing System (EOS) AM spacecraft.
In 1998, the Multi-angle Imaging SpectroRadiometer (MISR) will fly aboard the EOS-AM1 spacecraft. MISR will enable unique methods for retrieving the properties of atmospheric aerosols, by providing global imagery of the Earth at nine viewing angles in four visible and near-IR spectral bands. As part of the MISR algorithm development, theoretical methods of analyzing multi-angle, multi-spectral data are being tested using images acquired by the airborne Advanced Solid-State Array Spectroradiometer (ASAS). In this paper we derive a method to be used over land surfaces for retrieving the change in opacity between spectral bands, which can then be used in conjunction with an aerosol model to derive a bound on absolute opacity.
A study is conducted to ascertain the synergistic advantages obtainable by combining, in the EOS orbital instrument platform, instruments for the optical and microwave measurements of biophysical properties important in ecosystem modeling. Attention is given to the comparative coverages of the SAR, HIRIS, TIMS and MODIS instruments that will be carried by the platform, and to the ongoing development of joint inversion algorithms for the modeling of the ecosystems-related data thus obtained. A three-dimensional characterization of the physical attributes of the vegetation canopy and its background surface will be attempted.