AirMISR Data Products Specifications
This document describes the data products by the Airborne Multiangle Imaging SpectroRadiometer (AirMISR) sensor.
AirMISR data products specifications↗
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Polarization Characteristics of Spectralon Illuminated by Coherent Light
The Multi-angle Imaging Spectroradiometer (MISR) makes use of an on-board calibration system to provide routine absolute radiometric calibrations of the instrument while in flight. In addition to on-board detector standards, two spectralon panels will reflect sunlight into the nine cameras.
reflectance standards spectralon polarization↗
What We Can Learn About Aerosols from EOS-MISR Multi-Angle Remote Sensing Observations Over Ocean
Multiangle, multispectral remote sensing observations, such as those anticipated from the Earth Observing System (EOS) Multiangle Imaging SpectroRadiometer (MISR), promise to significantly improve our ability to constrain aerosol properties from space.
multi-angle remote sensing aerosols↗
MISR Global Inflight Geometric Calibration Concept
The theoretical concept, underlying the design of the Multi-angle Imaging SpectroRadiometer (MISR) inflight geometric calibration is the subject of this paper.
photogrammetry geometric calibration↗
Level 1 Georectification and Registration Algorithm Theoretical Basis
This Algorithm Theoretical Basis (ATB) document describes the algorithms used to generate the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Georectified Radiance Product (GRP).
photogrammetry geolocation map-projection registra↗
Level 1 In-Flight Geometric Calibration Algorithm Theoretical Basis
The multi-angle Imaging SpectroRadiometer (MISR) is part of an Earth Observing System (EOS) payload to be launched in 1998.
geometry calibration georectification in-flight↗
Level 2 Top-of-Atmosphere Albedo Algorithm Theorectical Basis
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.
Top-of-Atmosphere albedo algorithm↗
Global Geographic Database in Support of EOS MISR Data Processing
This paper will describe the production of the Ancillary Geographic Product (AGP) in support of the Earth Observing System (EOS) Multi-angle Imaging SpectroRadiometer (MISR) instrument data processing. The AGP is essentially a global database of geographic properties, tailored to the needs of the MISR mission.
ancillary geographic product earth observing syste↗
Measurement of the Depolarization of Reflected Light From Spectralon
Light reflected from Spectralon, the material chosen for on-board radiometric calibration of the Multi-angle Imaging SpectroRadiometer (MISR) is quantified in terms of the fraction of the reflected intensity that has the same polarization as the incident light.
Spectralon Radiometric Calibration↗
The Measurement of the Directional Hemispherical Reflectance From Spectralon
The directional hemispheric reflecatance is measured for Spectralon, the material chosen for on-board radiometric calibration of the Multiangle Imaging SpectroRadiometer (MISR), at laser wavelengths of 442, 632.8 and 859.9nm.
Spectralon Hemisphere↗
Multi-angle Imaging Spectro Radiometer (MISR) Design Issues Influened by Performance Requirements
The design of an Earth Remote Sensing Sensor, such as the Multi-angle Imaging SpectroRadiometer (MISR), begins with a set of science requirements and is quickly followed by a set of instrument specifications.
MISR environmental exposure filter design contrast↗
What We Can Learn About Aerosols from EOS-MISR Multi-Angle Remote Sensing Observations Over Ocean
Multiangle, multispectral remote sensing observations, such as those anticipated from the Multiangle, multispectral remote sensing observations, such as those anticipated from the Earth Observing System (EOS) Multiangle Imaging SpectroRadiometer (MISR), promise to significantly improve our ability to constrain aerosol properties from space.
multi-angle remote sensing aerosols↗
Multiangle Remote Sensing of Aerosols Over Ocean
Multiangle, multispectral remote sensing observations, such as those anticipated from the Earth Observing System (EOS) Multiangle Imaging SpectroRadiometer (MISR), can significantly improve our ability to constrain aerosol properties from space.
retrieve column optical depth calm ocean particle ↗
MISR: protection from ourselves
Outlines lessons learned by the Instrument Operations Team of NASA/JPL Terra's Multi-angle Imaging SpectroRadiometer mission. It narrates a story of MISR: Protection from Ourselves! and describes, in detail, how the MISR instrument survived operator errors.
MISR operations↗
A MISR cloud-type classifier using reduced Support Vector Machines
We are developing a pixel-level cloud-type classifier for the Multi-angle Imaging SpectroRadiometer (MISR), an instrument used to study clouds and aerosols from NASA's Terra satellite.
data mining↗
2003 Railroad Valley vicarious calibration experiment
The Multi-angle Imaging SpectroRadiometer (MISR) is one of five instruments on-board the EOS/Terra spacecraft. The instrument has nine cameras, which view up to 70 degrees forward and aft of the spacecraft track.
MISR↗
Multilayered Clouds Identification and Retrieval for CERES Using MODIS
Traditionally, analyses of satellite data have been limited to interpreting the radiances in terms of single layer clouds. Generally, this results in significant errors in the retrieved properties for multilayered cloud systems. Two techniques for detecting overlapped clouds and retrieving the cloud properties using satellite data are explored to help address the need for better quantification of cloud vertical structure. The first technique was developed using multispectral imager data with secondary imager products (infrared brightness temperature differences, BTD). The other method uses microwave (MWR) data. The use of BTD, the 11-12 micrometer brightness temperature difference, in conjunction with tau, the retrieved visible optical depth, was suggested by Kawamoto et al. (2001) and used by Pavlonis et al. (2004) as a means to detect multilayered clouds. Combining visible (VIS; 0.65 micrometer) and infrared (IR) retrievals of cloud properties with microwave (MW) retrievals of cloud water temperature Tw and liquid water path LWP retrieved from satellite microwave imagers appears to be a fruitful approach for detecting and retrieving overlapped clouds (Lin et al., 1998, Ho et al., 2003, Huang et al., 2005). The BTD method is limited to optically thin cirrus over low clouds, while the MWR method is limited to ocean areas only. With the availability of VIS and IR data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and MW data from the Advanced Microwave Scanning Radiometer EOS (AMSR-E), both on Aqua, it is now possible to examine both approaches simultaneously. This paper explores the use of the BTD method as applied to MODIS and AMSR-E data taken from the Aqua satellite over non-polar ocean surfaces.
Sun-Mack, Sunny↗
The Continuous Monitoring of Desert Dust using an Infrared-based Dust Detection and Retrieval Method
Airborne dust and sand are significant aerosol sources that can impact the atmospheric and surface radiation budgets. Because airborne dust affects visibility and air quality, it is desirable to monitor the location and concentrations of this aerosol for transportation and public health. Although aerosol retrievals have been derived for many years using visible and near-infrared reflectance measurements from satellites, the detection and quantification of dust from these channels is problematic over bright surfaces, or when dust concentrations are large. In addition, aerosol retrievals from polar orbiting satellites lack the ability to monitor the progression and sources of dust storms. As a complement to current aerosol dust retrieval algorithms, multi-spectral thermal infrared (8-12 micron) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Meteosat-8 Spinning Enhanced Visible and Infrared Imager (SEVIRI) are used in the development of a prototype dust detection method and dust property retrieval that can monitor the progress of Saharan dust fields continuously, both night and day. The dust detection method is incorporated into the processing of CERES (Clouds and the Earth s Radiant Energy System) aerosol retrievals to produce dust property retrievals. Both MODIS (from Terra and Aqua) and SEVERI data are used to develop the method.
Duda, David P.↗