COSMO-SkyMed遥感高寒地区积雪监测的多时相方法和去极化比

B. Ventura, T. Schellenberger, C. Notarnicola, M. Zebisch, T. Nagler, H. Rott, V. Maddalena, R. Ratti, L. Tampellini
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引用次数: 4

摘要

在意大利航天局资助的“SNOX -高山地区积雪和冰川监测COSMO-SkyMed x波段数据”项目活动的第一年,将基于有雪和无雪地区不同响应的多时相湿雪探测技术应用于在南蒂罗尔州(意大利北部)获得的COSMO-SkyMed (CSK)图像。为了更好地区分积雪和无积雪分布,我们比较了- 3 dB的标准阈值和- 2.3 dB的限制性较小的阈值。这两个不同阈值的应用决定了积雪面积(SCA)在2%到8%之间的变化。此外,已经证明,在无雪地区,参考图像的选择是至关重要的,它可以决定最终SCA的可变性高达10%。利用消极化因子σ0VH/σ0VV对积雪区识别的贡献进行了评价。初步结果表明,去极化因子对SCA检测的贡献非常有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Snow cover monitoring in alpine regions with COSMO-SkyMed images by using a multitemporal approach and depolarization ratio
The multi-temporal technique for the detection of wet snow, based on the different response of snow and no-snow area was applied to COSMO-SkyMed (CSK) images acquired over South Tyrol (Northern Italy) during the first year of activity in the project “SNOX — snow cover and glacier monitoring in alpine areas with COSMO-SkyMed X-band data” funded by the Italian Space Agency. A standard threshold value of −3 dB and a less restrictive threshold of −2.3 dB are compared for an improved distinction of the snow and no-snow distributions. The application of these two different thresholds determines a variation of snow cover area (SCA) between 2% and 8%. Furthermore, it has been proved that the choice of the reference image for the no-snow areas is critical and can determine a variability in the resulting SCA up to 10%. The depolarization factor, σ0VH/σ0VV, is also exploited to evaluate its contribution to the identification of snow covered areas. Preliminary results indicate that the contribution of the depolarization factor to the SCA detection is very limited.
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