Large-scale inverse ku-band backscatter modeling of sea ice
Abstract—Polar sea ice characteristics provide important inputs to models of several geophysical processes. Microwave scatterometers are ideal for monitoring these regions due to their sensitivity to ice properties and insensitivity to atmospheric distortions. Many forward electromagnetic scattering...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.391.9511 2023-05-15T13:11:56+02:00 Large-scale inverse ku-band backscatter modeling of sea ice Quinn P. Remund David G. Long Senior Member The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9511 http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9511 http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf models sea ice text ftciteseerx 2016-01-08T02:17:49Z Abstract—Polar sea ice characteristics provide important inputs to models of several geophysical processes. Microwave scatterometers are ideal for monitoring these regions due to their sensitivity to ice properties and insensitivity to atmospheric distortions. Many forward electromagnetic scattering models have been proposed to predict the normalized radar cross section ( ) from sea ice characteristics. These models are based on very small scale ice features and generally assume that the region of interest is spatially homogeneous. Unfortunately, spaceborne scatterometer footprints are very large (5–50 km) and usually contain very heterogeneous mixtures of sea ice surface parameters. In this paper, we use scatterometer data in a large-scale inverse modeling experiment. Given the limited data resolution, we adopt a simple geometric optics forward-scattering model to analyze surface and volume scattering contributions to observed Ku-band signatures. A model inversion technique based on recursive optimization of an objective function is developed. The result is a least squares estimate of three surface parameters: the power reflection coefficient at nadir, the rms surface slope, and the volume scattering albedo. Simulations demonstrate the performance of the method in the presence of noise. The inverse model is implemented using Ku-band image reconstructed data collected by the National Aeronautics and Space Administration scatterometer. The results are used to analyze and interpret phenomena occurring in the Antarctic and the Arctic. Index Terms—Inverse modeling, National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT), scattering Text albedo Antarc* Antarctic Arctic Sea ice Unknown Antarctic Arctic The Antarctic |
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models sea ice |
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models sea ice Quinn P. Remund David G. Long Senior Member Large-scale inverse ku-band backscatter modeling of sea ice |
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models sea ice |
description |
Abstract—Polar sea ice characteristics provide important inputs to models of several geophysical processes. Microwave scatterometers are ideal for monitoring these regions due to their sensitivity to ice properties and insensitivity to atmospheric distortions. Many forward electromagnetic scattering models have been proposed to predict the normalized radar cross section ( ) from sea ice characteristics. These models are based on very small scale ice features and generally assume that the region of interest is spatially homogeneous. Unfortunately, spaceborne scatterometer footprints are very large (5–50 km) and usually contain very heterogeneous mixtures of sea ice surface parameters. In this paper, we use scatterometer data in a large-scale inverse modeling experiment. Given the limited data resolution, we adopt a simple geometric optics forward-scattering model to analyze surface and volume scattering contributions to observed Ku-band signatures. A model inversion technique based on recursive optimization of an objective function is developed. The result is a least squares estimate of three surface parameters: the power reflection coefficient at nadir, the rms surface slope, and the volume scattering albedo. Simulations demonstrate the performance of the method in the presence of noise. The inverse model is implemented using Ku-band image reconstructed data collected by the National Aeronautics and Space Administration scatterometer. The results are used to analyze and interpret phenomena occurring in the Antarctic and the Arctic. Index Terms—Inverse modeling, National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT), scattering |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Quinn P. Remund David G. Long Senior Member |
author_facet |
Quinn P. Remund David G. Long Senior Member |
author_sort |
Quinn P. Remund |
title |
Large-scale inverse ku-band backscatter modeling of sea ice |
title_short |
Large-scale inverse ku-band backscatter modeling of sea ice |
title_full |
Large-scale inverse ku-band backscatter modeling of sea ice |
title_fullStr |
Large-scale inverse ku-band backscatter modeling of sea ice |
title_full_unstemmed |
Large-scale inverse ku-band backscatter modeling of sea ice |
title_sort |
large-scale inverse ku-band backscatter modeling of sea ice |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9511 http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
albedo Antarc* Antarctic Arctic Sea ice |
genre_facet |
albedo Antarc* Antarctic Arctic Sea ice |
op_source |
http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9511 http://www.mers.byu.edu/long/papers/TGARS2003Remund.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766249555978878976 |