Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data
We propose a waveform mixture algorithm to detect leads from CryoSat-2 data, which is novel and different from the existing threshold-based lead detection methods. The waveform mixture algorithm adopts the concept of spectral mixture analysis, which is widely used in the field of hyperspectral image...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2018
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-12-1665-2018 https://doaj.org/article/33c7aa1864f54bfe8aeec780b1fedbdd |
id |
ftdoajarticles:oai:doaj.org/article:33c7aa1864f54bfe8aeec780b1fedbdd |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:33c7aa1864f54bfe8aeec780b1fedbdd 2023-05-15T15:05:40+02:00 Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S. Lee H.-C. Kim J. Im 2018-05-01T00:00:00Z https://doi.org/10.5194/tc-12-1665-2018 https://doaj.org/article/33c7aa1864f54bfe8aeec780b1fedbdd EN eng Copernicus Publications https://www.the-cryosphere.net/12/1665/2018/tc-12-1665-2018.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-12-1665-2018 1994-0416 1994-0424 https://doaj.org/article/33c7aa1864f54bfe8aeec780b1fedbdd The Cryosphere, Vol 12, Pp 1665-1679 (2018) Environmental sciences GE1-350 Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/tc-12-1665-2018 2022-12-31T00:51:04Z We propose a waveform mixture algorithm to detect leads from CryoSat-2 data, which is novel and different from the existing threshold-based lead detection methods. The waveform mixture algorithm adopts the concept of spectral mixture analysis, which is widely used in the field of hyperspectral image analysis. This lead detection method was evaluated with high-resolution (250 m) MODIS images and showed comparable and promising performance in detecting leads when compared to the previous methods. The robustness of the proposed approach also lies in the fact that it does not require the rescaling of parameters (i.e., stack standard deviation, stack skewness, stack kurtosis, pulse peakiness, and backscatter σ 0 ), as it directly uses L1B waveform data, unlike the existing threshold-based methods. Monthly lead fraction maps were produced by the waveform mixture algorithm, which shows interannual variability of recent sea ice cover during 2011–2016, excluding the summer season (i.e., June to September). We also compared the lead fraction maps to other lead fraction maps generated from previously published data sets, resulting in similar spatiotemporal patterns. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic The Cryosphere 12 5 1665 1679 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 S. Lee H.-C. Kim J. Im Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
We propose a waveform mixture algorithm to detect leads from CryoSat-2 data, which is novel and different from the existing threshold-based lead detection methods. The waveform mixture algorithm adopts the concept of spectral mixture analysis, which is widely used in the field of hyperspectral image analysis. This lead detection method was evaluated with high-resolution (250 m) MODIS images and showed comparable and promising performance in detecting leads when compared to the previous methods. The robustness of the proposed approach also lies in the fact that it does not require the rescaling of parameters (i.e., stack standard deviation, stack skewness, stack kurtosis, pulse peakiness, and backscatter σ 0 ), as it directly uses L1B waveform data, unlike the existing threshold-based methods. Monthly lead fraction maps were produced by the waveform mixture algorithm, which shows interannual variability of recent sea ice cover during 2011–2016, excluding the summer season (i.e., June to September). We also compared the lead fraction maps to other lead fraction maps generated from previously published data sets, resulting in similar spatiotemporal patterns. |
format |
Article in Journal/Newspaper |
author |
S. Lee H.-C. Kim J. Im |
author_facet |
S. Lee H.-C. Kim J. Im |
author_sort |
S. Lee |
title |
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
title_short |
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
title_full |
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
title_fullStr |
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
title_full_unstemmed |
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data |
title_sort |
arctic lead detection using a waveform mixture algorithm from cryosat-2 data |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-12-1665-2018 https://doaj.org/article/33c7aa1864f54bfe8aeec780b1fedbdd |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 12, Pp 1665-1679 (2018) |
op_relation |
https://www.the-cryosphere.net/12/1665/2018/tc-12-1665-2018.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-12-1665-2018 1994-0416 1994-0424 https://doaj.org/article/33c7aa1864f54bfe8aeec780b1fedbdd |
op_doi |
https://doi.org/10.5194/tc-12-1665-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
5 |
container_start_page |
1665 |
op_container_end_page |
1679 |
_version_ |
1766337308716433408 |