Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica
Abstract—While designed for ocean observation, scatterometer and radiometer data have proven very useful in a variety of cryosphere studies. Over large regions of Antarctica, ice sheet and bedrock topography and the snow deposition, drift, and erosional environment combine to produce roughness on va...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.391.5157 2023-05-15T13:48:10+02:00 Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica David G. Long Senior Member Mark R. Drinkwater The Pennsylvania State University CiteSeerX Archives 2000 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.5157 http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.5157 http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf text 2000 ftciteseerx 2016-01-08T02:16:38Z Abstract—While designed for ocean observation, scatterometer and radiometer data have proven very useful in a variety of cryosphere studies. Over large regions of Antarctica, ice sheet and bedrock topography and the snow deposition, drift, and erosional environment combine to produce roughness on various scales. Roughness ranges from broad, basin-scale ice-sheet topography at 100 km wavelengths to large, spatially coherent dune fields at 10 km wavelength to erosional features on the meter scale known as sastrugi. These roughness scales influence the microwave backscattering and emission properties of the surface, combining to introduce azimuth-angle dependencies in the satellite observation data. In this paper, we explore the use of NASA scatterometer (NSCAT) data, European remote sensing (ERS) advanced microwave instrument (AMI) scatterometer mode data, and special sensor microwave/imager (SSM/I) data to study surface roughness effects in Antarctica. All three sensors provide strong evidence of azimuth modulation, which is correlated with the surface slope environment and results in a katabatic wind flow regime. Due to its broad azimuth coverage, NSCAT data appears to be the best suited for azimuth-angle observations. A simple empirical model for the azimuth variation in the radar backscatter is developed, and an algorithm for computing the parameters of the model from NSCAT data at a fine scale is presented. Results indicate relationships exist between the azimuthal variation of the data and the orientation of the surface slope and small-scale roughness relative to the sensor-look direction. Index Terms—Azimuthal anisotropy, backscattering, emissitivity, ice sheet, radar, radiometer, sastrugi, scatterometer, surface roughness. I. Text Antarc* Antarctica Ice Sheet Unknown Sastrugi ENVELOPE(163.683,163.683,-74.617,-74.617) |
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English |
description |
Abstract—While designed for ocean observation, scatterometer and radiometer data have proven very useful in a variety of cryosphere studies. Over large regions of Antarctica, ice sheet and bedrock topography and the snow deposition, drift, and erosional environment combine to produce roughness on various scales. Roughness ranges from broad, basin-scale ice-sheet topography at 100 km wavelengths to large, spatially coherent dune fields at 10 km wavelength to erosional features on the meter scale known as sastrugi. These roughness scales influence the microwave backscattering and emission properties of the surface, combining to introduce azimuth-angle dependencies in the satellite observation data. In this paper, we explore the use of NASA scatterometer (NSCAT) data, European remote sensing (ERS) advanced microwave instrument (AMI) scatterometer mode data, and special sensor microwave/imager (SSM/I) data to study surface roughness effects in Antarctica. All three sensors provide strong evidence of azimuth modulation, which is correlated with the surface slope environment and results in a katabatic wind flow regime. Due to its broad azimuth coverage, NSCAT data appears to be the best suited for azimuth-angle observations. A simple empirical model for the azimuth variation in the radar backscatter is developed, and an algorithm for computing the parameters of the model from NSCAT data at a fine scale is presented. Results indicate relationships exist between the azimuthal variation of the data and the orientation of the surface slope and small-scale roughness relative to the sensor-look direction. Index Terms—Azimuthal anisotropy, backscattering, emissitivity, ice sheet, radar, radiometer, sastrugi, scatterometer, surface roughness. I. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
David G. Long Senior Member Mark R. Drinkwater |
spellingShingle |
David G. Long Senior Member Mark R. Drinkwater Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
author_facet |
David G. Long Senior Member Mark R. Drinkwater |
author_sort |
David G. Long |
title |
Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
title_short |
Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
title_full |
Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
title_fullStr |
Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
title_full_unstemmed |
Azimuth Variation in Microwave Scatterometer and Radiometer Data Over Antarctica |
title_sort |
azimuth variation in microwave scatterometer and radiometer data over antarctica |
publishDate |
2000 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.5157 http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf |
long_lat |
ENVELOPE(163.683,163.683,-74.617,-74.617) |
geographic |
Sastrugi |
geographic_facet |
Sastrugi |
genre |
Antarc* Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctica Ice Sheet |
op_source |
http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.5157 http://www.mers.byu.edu/long/papers/TGARS2000JulLong.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766248817792909312 |