Abstract
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.
Highlights
Sea ice has an important role of reflecting the solar radiation back into space
The heat flux of ice is strongly affected by the ice thickness difference (Maykut, 1978)
The brightness temperature data of various sea ice types are plotted on the scatter plots of AMSR2 19GHz V versus 19GHz (V-H) for the Sea of Okhotsk observed on February26, 2014 as shown on Figure 8
Summary
Sea ice has an important role of reflecting the solar radiation back into space. the reduction of ice cover most probably due to the global warming decreases the earth albedo. There are number of sea ice concentration algorithms including NASA Team Algorithm (Cavarieli et al, 1984), Bootstrap Algorithm (Comiso, 1995), and ASI Algorithm (Spreen et al, 2008) Ice thickness is another important parameter of sea ice. Studies on estimating ice thickness from the data acquired from passive microwave radiometers onboard satellites have done in the past including those of Tateyama et al (2002), Martin et al (2004, 2005), and Tamura et al(2007). None of them has been adopted as the algorithm for producing sea ice thickness dataset from SSM/I, AMSR-E or AMSR2 This fact reflects the difficulty of estimating ice thickness from passive microwave radiometer. We believe that this method may contribute to the climate change study
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
