Abstract
Recent trend in the decrease of Arctic multi-year ice (MYI) suggests a need to study the extent of the MYI. The microwave radiometric contrast between the first-year ice (FYI) and MYI can be exploited for monitoring sea ice extent, variations and dynamics on various temporal scales. This study presents an approach for the identification of MYI and FYI in the Arctic using SCATSAT-1 scatterometer data. A supervised classification technique using maximum-likelihood (ML) classification is employed in conjunction with principal component analysis (PCA) to classify FYI and MYI in the Arctic region. The classification results are then compared with a well-established sea ice type data product from the EUMETSAT's Ocean & Sea Ice Satellite Application Facility (OSI-SAF). For the period from 16th May – 30th September 2017, no valid pixels are available for comparison in the OSI data. A change detection technique is also employed to ascertain the changes in the Arctic MYI for the SCATSAT-1 period 2016 through 2018 (autumn and spring changes).
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