IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. 1998
DOI: 10.1109/igarss.1998.703803
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Seasat, ERS-1/2 and NSCAT scatterometer observed changes on the large ice sheets

Abstract: -Satellite-borne wind scatterometers are effective tools for monitoing ice sheets and microwave imaging techniques enable comparison of historic and contemporary scatterometer data in climate change studies. We document scattering characteristics of the Greenland ice sheet using data from the NSCAT, ERS-112 and Seasat SASS instruments. C-and Ku-band data enable characterization of frequencydependent scattering characteristics and regional melting delineation. SASS-NSCAT differences show 18 year changes in dry-… Show more

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Cited by 15 publications
(14 citation statements)
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“…Variations in the average backscatter have been used to estimate accumulation [3], [4], monitor melt and ablation [2], [6] and study long-term climate change [27], [28]. Using our model with the CGS assumption enables lower variance estimates of and increased temporal resolution compared with the methods used in these studies.…”
Section: B Intraannual Variationsmentioning
confidence: 99%
“…Variations in the average backscatter have been used to estimate accumulation [3], [4], monitor melt and ablation [2], [6] and study long-term climate change [27], [28]. Using our model with the CGS assumption enables lower variance estimates of and increased temporal resolution compared with the methods used in these studies.…”
Section: B Intraannual Variationsmentioning
confidence: 99%
“…Enhanced resolution images from the 13.6 GHz (Ku band) Seasat A scatterometer system (SASS) [Long and Drinkwater, 1994], the 5.3 GHz (C band) ERS-1 and ERS-2 scatterometer [Drinkwater and Long, 1998], and the 13.6 GHz (Ku band) NASA scatterometer (NSCAT) [Long and Drinkwater, 1999] Long and Drinkwater, 1994]. Enhancing the resolution tends to increase the noise.…”
Section: Introductionmentioning
confidence: 99%
“…Assuming that the surface can be modeled as an ensemble of reflective facets with Gaussian slope distributions, a geometric optics solution can be used [27], [29] so that (4) where is the surface power reflection coefficient at nadir and is the rms surface slope.The geometric optics solution is derived under the assumption that the wavelength is significantly smaller than the typical roughness dimensions. At 14 GHz, the corresponding wavelength is approximately 2.1 cm.…”
Section: Large-scale Forward Modeling Ofmentioning
confidence: 99%
“…Though the SASS mission was short, SASS data illustrated that Ku-band measurements are sensitive to the presence of sea ice and show valuable variations within the ice pack that relate to surface features [3]- [6]. Later, the Active Microwave Instrumentation (AMI) scatterometers aboard the European Remote Sensing 1 and 2 (ERS-1 and ERS-2) satellites demonstrated the value of C-band active scatterometer data in monitoring sea and glacial ice regions [4], [7], [8]. The National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT) flew aboard the Advanced Earth Observation Satellite (ADEOS) platform from approximately August 1996 through June 1997.…”
Section: Introductionmentioning
confidence: 99%
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