The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces

Diner, David J.; Braswell, B. H.; Davies, Roger; Gobron, Nadine; Hu, Jiannan; Jin, Yufang; Kahn, Ralph A.; Knyazikhin, Yuri; Loeb, Norman G.; Müller, Jan-Peter; Nolin, A. W.; Pinty, B.; Schaaf, Crystal B.; Seiz, Gabriela; Stroeve, Julienne

doi:10.1016/j.rse.2005.06.006

Cited by 168 publications

(114 citation statements)

References 133 publications

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“…Due to its unique multi-angle viewing approach, the MISR instrument on NASA's Terra satellite is capable of distinguishing mixtures of aerosol types without relying on data from other instruments (Kahn et al, 2001;Diner et al, 2005a). MISR measures radiation in four spectral bands (blue -446 nm, green -558 nm, red -672 nm, and nearinfrared -866 nm) from nine different viewing directions (±70.5, ±60.0, ±45.6, ±26.1, and 0.0 • along the direction of satellite motion), allowing retrievals of aerosol particle size and shape (Kahn et al, 2001;Diner et al, 2005b).…”

Section: Introductionmentioning

confidence: 99%

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

et al. 2016

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Abstract. The Multi-angle Imaging SpectroRadiometer (MISR) Joint Aerosol (JOINT_AS) Level 3 product has provided a global, descriptive summary of MISR Level 2 aerosol optical depth (AOD) and aerosol type information for each month over 16+ years since March 2000. Using Version 1 of JOINT_AS, which is based on the operational (Version 22) MISR Level 2 aerosol product, this study analyzes, for the first time, characteristics of observed and simulated distributions of AOD for three broad classes of aerosols: spherical nonabsorbing, spherical absorbing, and nonspherical -near or downwind of their major source regions. The statistical moments (means, standard deviations, and skewnesses) and distributions of AOD by components derived from the JOINT_AS are compared with results from two chemistry transport models (CTMs), the Goddard Chemistry Aerosol Radiation and Transport (GOCART) and SPectral RadIatioN-TrAnSport (SPRINTARS). Overall, the AOD distributions retrieved from MISR and modeled by GOCART and SPRINTARS agree with each other in a qualitative sense. Marginal distributions of AOD for each aerosol type in both MISR and models show considerable high positive skewness, which indicates the importance of including extreme AOD events when comparing satellite retrievals with models. The MISR JOINT_AS product will greatly facilitate comparisons between satellite observations and model simulations of aerosols by type.

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Section: Introductionmentioning

confidence: 99%

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

et al. 2016

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“…For BRDF estimation from satellite remote sensing, observations over sufficiently large angular ranges are first atmospherically corrected and then fitted to a semi-empirical BRDF model (Engelsen et al, 1998;Lucht et al, 2000). Multiangular instruments such as the Multiangle Imaging SpectroRadiometer (MISR) (Diner et al, 1998(Diner et al, , 2005 and the POLarization and Directionality of the Earth's Reflectances (POLDER) (Leroy et al, 1997;Lallart et al, 2008) measure multiple-angle views over a short time span. In contrast, sensors with a single field of view such as the MODerate resolution Imaging Spectroradiometer (MODIS) (Justice et al, 1998) must accumulate sequential observations of the same scene under different viewing geometries over a specified time period.…”

Section: Introductionmentioning

confidence: 99%

Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO<sub>2</sub>

et al. 2010

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Abstract. Surface reflectance is a key parameter in satellite trace gas retrievals in the UV/visible range and in particular for the retrieval of nitrogen dioxide (NO 2 ) vertical tropospheric columns (VTCs). Current operational retrievals rely on coarse-resolution reflectance data and do not account for the generally anisotropic properties of surface reflectance. Here we present a NO 2 VTC retrieval that uses MODIS bidirectional reflectance distribution function (BRDF) data at high temporal (8 days) and spatial (1 km × 1 km) resolution in combination with the LIDORT radiative transfer model to account for the dependence of surface reflectance on viewing and illumination geometry. The method was applied to two years of NO 2 observations from the Ozone Monitoring Instrument (OMI) over Europe. Due to its wide swath, OMI is particularly sensitive to BRDF effects. Using representative BRDF parameters for various land surfaces, we found that in July (low solar zenith angles) and November (high solar zenith angles) and for typical viewing geometries of OMI, differences between MODIS black-sky albedos and surface bi-directional reflectances are of the order of 0-10% and 0-40%, respectively, depending on the position of the OMI pixel within the swath. In the retrieval, black-sky albedo was treated as a Lambertian (isotropic) reflectance, while for BRDF effects we used the kernel-based approach in the MODIS BRDF product. Air Mass Factors were computed using the LIDORT radiative transfer model based on these surface reflectance conditions. Differences in NO 2 VTCs based on the Lambertian and BRDF approaches were found to be of the order of 0-3% in July and 0-20% in November with the extreme values found at large viewing angles. The much larger differences in November areCorrespondence to: D. Brunner (dominik.brunner@empa.ch) mainly due to stronger BRDF effects at higher solar zenith angles. To a smaller extent, they are also caused by the typically more pronounced maximum of the NO 2 a priori profiles in the boundary layer during the cold season, which make the retrieval more sensitive to radiation changes near the surface. However, BRDF impacts vary considerably across Europe due to differences in land surface type and increasing solar zenith angles at higher latitude. Finally, we compare BRDF-based NO 2 VTCs with those retrieved using the GOME/TOMS Lambertian equivalent reflectance (LER) data set. The relative differences are mostly below 15% in July but in November the NO 2 VTCs from TOMS/GOME are lower by 20-60%. Our results indicate that the specific choice of albedo data set is even more important than accounting for surface BRDF effects, and this again demonstrates the strong requirement for more accurate surface reflectance data sets.

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“…This indicates a strong relationship between LAI and FGROUND at the resolution of MISR products. These results can be interpreted as follows (Diner et al, 2005).…”

Section: Obtaining New Information On Canopy Structure From Misr Prodmentioning

confidence: 78%

Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency

Tan

et al. 2007

Remote Sensing of Environment

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The Multi-angle Imaging SpectroRadiometer (MISR) instrument provides global imagery at nine discrete viewing angles and four visible/nearinfrared spectral bands. MISR standard products include green leaf area index (LAI) of vegetation and fraction of photosynthetically active radiation absorbed by vegetation (FPAR). This paper describes the research basis for transitioning the MISR LAI/FPAR products from provisional to validation status. The efforts included not only comparisons to field data but also analyses of relationships, consistency and complementarity between various MISR products derived by independent algorithms. For example, we show how the energy absorbed by the ground below vegetation can be estimated from two independent MISR products, FPAR and BHRPAR (bi-hemispheric reflectance at PAR wavelengths). Further, we show that this information can be used to derive at least three measures of canopy structure -Beer's law extinction coefficient, mean leaf inclination and the gap fraction or vegetation ground cover. The spatial and temporal coverage of the LAI/FPAR product is mainly limited by cloud contamination. However, when a successful aerosol retrieval is performed, typically 95% of pixels have surface reflectance retrievals suitable as input to the LAI/FPAR algorithm. The algorithm provides LAI/FPAR retrievals in 50-80% of these pixels with suitable input. The early versions of the algorithm overestimated LAI values in grasses and broadleaf crops. The MISR LAI product from the recalibrated algorithm (version 3.3) is assessed by comparison with field data collected in a 3 × 3 km agricultural area (grasses and cereal crops) near Avignon, France. LAI retrievals in other biomes are compared to MODIS LAI product of known accuracy. The MISR LAI product shows structural and phenological variability in agreement with data. Our results suggest that the product is accurate to within 0.66 LAI in herbaceous vegetation and savannas and is an overestimate by about 1 LAI in broadleaf forests. LAI retrievals over needle leaf forests remain at provisional quality level.

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The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces

Cited by 168 publications

References 133 publications

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO<sub>2</sub>

Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency

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The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces

Cited by 168 publications

References 133 publications

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models

Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO&lt;sub&gt;2&lt;/sub&gt;

Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency

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Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO<sub>2</sub>