Thin Ice Area Extraction Using Amsr-e Data in the Sea of Okhotsk
نویسنده
چکیده
Passive microwave sensors onboard satellites, such as SSMI or AMSR-E, can penetrate clouds and can monitor the global sea ice distribution on daily basis. However, since the footprint size of passive microwave sensors are rather large, approx. 38x30kmfor SSM/I 37GHz and approx.8x14km for ASMR-E 37GHz, extraction of sea ice thickness with passive microwave sensors is not easy. In this study, we have developed a method to detect thin ice area using scatter plots of AMSR-E 19GHz polarization difference(V–H) vs 37GHz V polarization. The result comparison with simultaneously collected MODIS images for the Sea of Okhotsk proved the effectiveness of this method. The interannual variation of total sea ice area and thin ice area in the Sea of Okhotsk is also discussed in this study.
منابع مشابه
A Study on Extracting the Trend of Thin Ice Distribution in the Sea of Okhotsk Using Amsr-e and Amsr2 Data
Passive microwave radiometers onboard satellite can penetrate clouds and can monitor the global sea ice distribution on daily basis. It is not easy to extract sea ice thickness information from satellite data. In 2012, the authors have developed a method to detect thin ice area using the brightness temperature data derived from the passive microwave sensor AMSR-E onboard Aqua satellite. The bas...
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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 19GHz polarization difference(V–H) vs ...
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