Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview

Diner, David J.; Beckert, J.C.; Reilly, T. H.; Bruegge, Carol J.; Conel, J. E.; Kahn, Ralph A.; Martonchik, John V.; Ackerman, Thomas P.; Davies, Roger; Gerstl, S.A.W.; Gordon, Howard R.; Müller, Jan-Peter; Myneni, Ranga B.; Sellers, P. J.; Pinty, B.; Verstraete, M. M.

doi:10.1109/36.700992

Cited by 937 publications

(603 citation statements)

References 49 publications

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“…MISR has nine cameras pointed toward the Earth at nine look-angles ranging from +70° through nadir to 70° along the spacecraft ground track. Each camera focal plane contains four line arrays of 1504 photoactive pixels each, which have blue, green, red, and near-IR filters [28]. The instrument images reflect sunlight, covering equatorial latitudes about once in nine days and polar latitudes about once every two days.…”

Section: Multisensors Data Productsmentioning

confidence: 99%

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

Kamal¹

2012

TORMSJ

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MODerate resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) and the Atmospheric Infrared Sounder (AIRS) atmospheric profiles (temperature and moisture) Level 2 products are studied to investigate dust aerosols impacts on hurricanes through spatial analysis. Spatial regions were selected based on two concentric circles (an annulus) and segmented by left and right regions of 180° each around the hurricanes center. Statistical relationships between MODIS AOT, AIRS temperature and percent relative humidity (RH) of the hurricanes Isabel (2003), Frances (2004), Katrina (2005) and Helene (2006) are presented. The variation of temperature and RH values represented in static-left, static-right, dynamic-left and dynamic-right for the 500 mb, 700 mb and 850 mb pressure levels are analyzed to determine the impacts of dust aerosols on temperature and RH. Average AOT was found highest in Helene (0.27) than Isabel (0.23), Frances (0.18) and Katrina (0.16). Negative impacts on the atmospheric moisture levels and positive on the temperature was found by dust aerosols. This study concludes that in 2006 dust dampened the force of hurricane Helene contributing towards extremely dryer atmosphere and inhibiting the conductive to intensify the hurricane.

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Section: Multisensors Data Productsmentioning

confidence: 99%

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

Kamal¹

2012

TORMSJ

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“…For a region, defined as 17. 6 17.6 km in size, the algorithm determines whether any of the 16 16 subregions can be classified as dark water. If there are any dark water subregions within the region, the "dark water" retrieval algorithm is used.…”

Section: B Simulated Misr Ancillary Radiative Transfer (Smart) Data Setmentioning

confidence: 99%

“…Then the optical depth at this minimum is given by (5) with an uncertainty (6) This uncertainty is defined as the optical depth difference from needed to increase by one. Once has been found, its value establishes whether the candidate aerosol model provides a good fit to the measurements.…”

Section: B Criteria For Aerosol Best Estimatementioning

confidence: 99%

“…In an effort to meet these observational needs, the Multiangle Imaging SpectroRadiometer (MISR) instrument, scheduled for launch in 1998 aboard the Earth Observing System (EOS)-AM1 platform, is capable of continuously imaging the surface at nine fixed viewing angles (nadir plus 70.5, 60.0, 0196-2892/98$10.00 © 1998 IEEE 45.6, and 26.1 forward and aftward of nadir) and four spectral bands (446, 558, 672, and 866 nm) [6]. Global coverage will be accomplished every nine days, characterized by a single observation of a scene at the equator and increasing multiple observations of a scene with increasing latitude.…”

Section: Introductionmentioning

confidence: 99%

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Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging

Martonchik

Diner

Kahn

et al. 1998

IEEE Trans. Geosci. Remote Sensing

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384

297

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Abstract-Aerosols are believed to play a direct role in the radiation budget of earth, but their net radiative effect is not well established, particularly on regional scales. Whether aerosols heat or cool a given location depends on their composition and column amount and on the surface albedo, information that is not routinely available, especially over land. Obtaining global information on aerosol and surface radiative characteristics, over both ocean and land, is a task of the Multi-angle Imaging SpectroRadiometer (MISR), an instrument to be launched in 1998 on the Earth Observing System (EOS)-AM1 platform. Three algorithms are described that will be implemented to retrieve aerosol properties globally using MISR data. Because of the large volume of data to be processed on a daily basis, these algorithms rely on lookup tables of atmospheric radiative parameters and predetermined aerosol mixture models to expedite the radiative transfer (RT) calculations. Over oceans, the "dark water" algorithm is used, taking full advantage of the nature of the MISR data. Over land, a choice of algorithms is made, depending on the surface types within a scene-dark water bodies, heavily vegetated areas, or high-contrast terrain. The retrieval algorithms are tested on simulated MISR data, computed using realistic aerosol and surface reflectance models. The results indicate that aerosol optical depth can be retrieved with an accuracy of 0.05 or 10%, whichever is greater, and some information can be obtained about the aerosol chemical and physical properties.

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“…Although some of the atmospheric radiative properties (for instance, the total ozone and water vapor contents) are known with sufficient accuracy, others, such as the aerosol load and properties, are not yet measured routinely. As a matter of fact, the vast majority of approaches proposed to estimate surface albedo values from polar orbiting and geostationary satellite data are based on proxy information as provided by climatological analyses and routine meteorological measurements of horizontal visibility [e.g., Rockwood High spatial resolution multiangular measurements of inflight-calibrated radiances will soon become available from the Multiangle Imaging Spectroradiometer (MISR) [Diner et al, 1998] aboard the Earth Observing System Terra. These measurements will permit the use of advanced radiation transfer models in an inverse mode to extract simultaneously relevant information on the surface and aerosol-scattering properties during the coming years.…”

Section: Introductionmentioning

confidence: 99%

Surface albedo retrieval from Meteosat: 1. Theory

Pinty¹,

Roveda²,

Verstraete³

et al. 2000

J. Geophys. Res.

135

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Abstract. Land surface albedo constitutes a critical climatic variable, since it largely controls the actual amount of solar energy available to the Earth system. The purpose of this paper is to establish a theory for the exploitation of space observations to solve the atmosphere/surface radiation transfer problem on an operational basis and to generate surface albedo, aerosol load, and possibly land cover change products. Surface albedo is rather variable in space and time and depends both on the structure and on the radiative characteristics of the surface, as well as on the angular and spectral distribution of radiation at the bottom of the atmosphere. Weather and climate models often use preset distributions or simple parameterizations of this environment variable, even though such approaches do not accurately account for the actual effect of the underlying surface. From a mathematical point of view, the determination of the surface albedo corresponds to the estimation of a boundary condition for the radiation transfer problem in the coupled surface-atmosphere system. A relatively large database of 10 years or more of Meteosat data has been accumulated by EUMETSAT. These data, collected at half-hour intervals over the entire Earth disk visible from longitude 0 ø, constitute a unique resource to describe the anisotropy of the coupled surface-atmosphere system and provide the opportunity to document changes in surface albedo which may have occurred in these regions over that period. In addition, since the coupled surface-atmosphere radiation transfer problem must be solved, the proposed procedure also yields an estimate of the spatial and temporal distribution of aerosols. The proposed inversion procedure yields a characterization of surface radiative properties that may also be used to document and monitor land surface dynamics over the portion of the globe observed by Meteosat. Results from preliminary applications and an error budget analysis are discussed in a companion paper [Pinty et al., this issue]. IntroductionThe bulk of the solar radiation available to the Earth system is absorbed at or near the oceanic and continental surface and then ultimately released to the atmosphere through the fluxes of infrared radiation, as well as sensible and latent heat. The fraction of solar energy absorbed at the surface of the planet is controlled by its surface albedo, which is highly variable in space and time over terrestrial surfaces. Satellite-borne instruments constitute a priori a unique tool for monitoring surface albedo values at the global scale and at spatial and temporal resolutions adequate for meteorological and climate studies. However, the above assertion implies that the problems hindering the accurate estimation of surface albedo values from space measurements are correctly addressed.The contributions to the measured radiances due to the atmospheric layers and the variations due to the anisotropic reflectance of all terrestrial surfaces are of primary concern in this 18,099

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Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview

Cited by 937 publications

References 49 publications

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging

Surface albedo retrieval from Meteosat: 1. Theory

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