New methods to infer snow albedo from the MISR instrument with applications to the Greenland ice sheet

Stroeve, Julienne; Nolin, A. W.

doi:10.1109/tgrs.2002.801144

Cited by 37 publications

(24 citation statements)

References 17 publications

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“…MISR images the surface using nine discrete, fixed angle cameras, one nadir viewing and four viewing angles in forward and aftward directions along the spacecraft track. Compared with in situ measurements at five different sites, the surface albedo derived from two different methods using MISR data showed good agreement (Stroeve and Nolin 2002). Although the atmosphere is relatively thin over the ice sheet, atmospheric attenuation is significant in the visible and nearinfrared wavelengths.…”

Section: Ice Sheetsmentioning

confidence: 82%

Theoretical Foundations of Remote Sensing for Glacier Assessment and Mapping

Bishop

Bush

Furfaro

et al. 2014

Global Land Ice Measurements From Space

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The international scientific community is actively engaged in assessing ice sheet and alpine glacier fluctuations at a variety of scales. The availability of stereoscopic, multitemporal, and multispectral satellite imagery from the optical wavelength regions of the electromagnetic spectrum has greatly increased our ability to assess glaciological conditions and map the cryosphere. There are, however, important issues and limitations associated with accurate satellite information extraction and mapping, as well as new opportunities for assessment and mapping that are all rooted in understanding the fundamentals of the radiation transfer cascade. We address the primary radiation transfer components, relate them to glacier dynamics and mapping, and summarize the analytical approaches that permit transformation of spectral variation into thematic and quantitative parameters. We also discuss the integration of satellite-derived information into numerical modeling approaches to facilitate understandings of glacier dynamics and causal mechanisms.

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Section: Ice Sheetsmentioning

confidence: 82%

Theoretical Foundations of Remote Sensing for Glacier Assessment and Mapping

Bishop

Bush

Furfaro

et al. 2014

Global Land Ice Measurements From Space

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“…While removing cloud shadow effects is important when radiometricallyaccurate data are required, e.g., for a time series of albedo distribution (Stroeve and Nolin, 2002), the negative effects are less important for determining fast-ice extent. …”

Section: Cloud Maskingmentioning

confidence: 99%

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

et al. 2012

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This study presents the first continuous, high spatiotemporal resolution time series of landfast sea ice extent along the East Antarctic coast for the period March 2000–December 2008. The time series was derived from consecutive 20-day cloud-free Moderate Resolution Imaging Spectroradiometer (MODIS) composite images. Fast ice extent across the East Antarctic coast shows a statistically significant (1.43% ±0.30% yr−1) increase. Regionally, there is a strong increase in the Indian Ocean sector (20°–90°E, 4.07% ±0.42% yr−1), and a nonsignificant decrease in the western Pacific Ocean sector (90°–160°E, −0.40% ±0.37% yr−1). An apparent shift from a negative to a positive extent trend is observed in the Indian Ocean sector from 2004. This shift also coincides with a greater amount of interannual variability. No such shift in apparent trend is observed in the western Pacific Ocean sector, where fast ice extent is typically higher and variability lower than the Indian Ocean sector. The limit to the maximum fast ice areal extent imposed by the location of grounded icebergs modulates the shape of the mean annual fast ice extent cycle to give a broad maximum and an abrupt, relatively transient minimum. Ten distinct fast ice regimes are identified, related to variations in bathymetry and coastal configuration. Fast ice is observed to form in bays, on the windward side of large grounded icebergs, between groups of smaller grounded icebergs, between promontories, and upwind of coastal features (e.g., glacier tongues). Analysis of the timing of fast ice maxima and minima is also presented and compared with overall sea ice maxima/minima timing.

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“…Subsequently, some of those calculations can be used for comparisons with satellite data. Since the latter data are obtained at a specific viewing angle, the comparison is not always simple, but correction factors between conical and hemispherical reflectances have been proposed (Stroeve and Nolin, 2002;Kokhanovsky and Zege, 2004). Figure 14 shows the range of calculated albedos for the C and T pits, illuminated with the CS70 source (see Table 2), as well as their averages.…”

Section: Disort Configurationmentioning

confidence: 99%

Vertical profile of the specific surface area and density of the snow at Dome C and on a transect to Dumont D'Urville, Antarctica – albedo calculations and comparison to remote sensing products

et al. 2011

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Abstract. The specific surface area (SSA) of snow determines in part the albedo of snow surfaces and the capacity of the snow to adsorb chemical species and catalyze reactions. Despite these crucial roles, almost no value of snow SSA are available for the largest permanent snow expanse on Earth, the Antarctic. We report the first extensive study of vertical profiles of snow SSA near Dome C (DC: 75 • 06 S, 123 • 20 E, 3233 m a.s.l.) on the Antarctic plateau, and at seven sites during the logistical traverse between Dome C and the French coastal base Dumont D'Urville (DDU: 66 • 40 S, 140 • 01 E) during the Austral summer [2008][2009]. We used the DU-FISSS system, which measures the IR reflectance of snow at 1310 nm with an integrating sphere. At DC, the mean SSA of the snow in the top 1 cm is 38 m 2 kg −1 , decreasing monotonically to 14 m 2 kg −1 at a depth of 50 cm. Along the traverse, the snow SSA profile is similar to that at DC in the first 600 km from DC. Closer to DDU, the SSA of the top 5 cm is 23 m 2 kg −1 , decreasing to 19 m 2 kg −1 at 50 cm depth. This difference is attributed to wind, which causes a rapid decrease of surface snow SSA, but forms hard windpacks whose SSA decrease more slowly with time. Since light-absorbing impurities are not concentrated enough to affect albedo, the vertical profiles of SSA and density were used to calculate the spectral albedo of the snow for several realistic illumination conditions, using the DISORT radiative transfer model. A preliminary comparison with MODIS data is presented and our calculations and MODIS data show similar trends.

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New methods to infer snow albedo from the MISR instrument with applications to the Greenland ice sheet

Cited by 37 publications

References 17 publications

Theoretical Foundations of Remote Sensing for Glacier Assessment and Mapping

Theoretical Foundations of Remote Sensing for Glacier Assessment and Mapping

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

Vertical profile of the specific surface area and density of the snow at Dome C and on a transect to Dumont D'Urville, Antarctica – albedo calculations and comparison to remote sensing products

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