THIN ICE AREA EXTRACTION IN THE SEA OF OKHOTSK FROM GCOM-W1/AMSR2 DATA
Passive microwave radiometers on-board satellites can penetrate clouds and can monitor the global sea ice distribution on daily basis. The authors have developed an algorithm to extract thin ice area in the Sea of Okhotsk from the passive microwave sensor AMSR2 on-board GCOM-W1 satellite. The algori...
| Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Copernicus Publications
2016
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| Subjects: | |
| Online Access: | https://doi.org/10.5194/isprs-archives-XLI-B8-463-2016 https://noa.gwlb.de/receive/cop_mods_00011393 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011350/isprs-archives-XLI-B8-463-2016.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/463/2016/isprs-archives-XLI-B8-463-2016.pdf |
| Summary: | Passive microwave radiometers on-board satellites can penetrate clouds and can monitor the global sea ice distribution on daily basis. The authors have developed an algorithm to extract thin ice area in the Sea of Okhotsk from the passive microwave sensor AMSR2 on-board GCOM-W1 satellite. The algorithm uses the brightness temperature scatter plots of AMSR2 19 GHz polarization difference(V–H) vs. 19 GHz V polarization. The results were verified using simultaneously collected MODIS images in the Sea of Okhotsk. The most of the thin ice areas visually identified in the MODIS images were automatically extracted from AMSR2 data using the algorithm. |
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