Otosaka, I orcid.org/0000-0001-9740-3735, Belmonte Rivas, M and Stoffelen, A (2018) Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band. IEEE Transactions on Geoscience and Remote Sensing, 56 (4). pp. 2248-2254. ISSN 0196-2892
Abstract
This paper describes the adaptation of a Bayesian sea ice detection algorithm for the scatterometer on-board the European Remote Sensing (ERS) satellites (ERS-1 and ERS-2). The algorithm is based on statistics of distances to ocean wind and sea ice geophysical model functions (GMFs) and its performance is validated against coincident active and passive microwave data. We furthermore propose a new model for sea ice backscatter at the C-band in vertical polarization based on the sea ice GMFs derived from ERS and advanced scatterometer data. The model characterizes the dependence of sea ice backscatter on the incidence angle and the sea ice type, allowing a more precise incidence angle correction than afforded by the usual linear transformation. The resulting agreement between the ERS, QuikSCAT, and special sensor microwave imager sea ice extents during the year 2000 is high during the fall and winter seasons, with an estimated ice edge accuracy of about 20 km, but shows persistent biases between scatterometer and radiometer extents during the melting period, with scatterometers being more sensitive to summer (lower concentration and rotten) sea ice types.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 IEEE. This is an author produced version of a paper published in IEEE Transactions on Geoscience and Remote Sensing. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Bayes procedure; Microwave radiometry; Radar scattering; Sea ice |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jan 2018 13:07 |
Last Modified: | 12 Apr 2018 11:32 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/TGRS.2017.2777670 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126008 |
Commentary/Response Threads
- Otosaka, I, Belmonte Rivas, M and Stoffelen, A Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band. (deposited 09 Jan 2018 13:07) [Currently Displayed]