Polarimetric SAR Response of Snow-Covered Area Observed by Multi-Temporal ALOS PALSAR Fully Polarimetric Mode
Polarimetric SAR Response of Snow-Covered Area Observed by Multi-Temporal ALOS PALSAR Fully Polarimetric Mode
复制标题
DOI：
10.1109/tgrs.2013.2240000
复制
发表时间：
2014
影响因子：
8.2
通讯作者：
Sang-Eun Park;Y. Yamaguchi;Gulab Singh;S. Yamaguchi;A. Whitaker
中科院分区：
文献类型：
--
作者：
Sang-Eun Park;Y. Yamaguchi;Gulab Singh;S. Yamaguchi;A. Whitaker
讨论了L波段全极化星载合成孔径雷达探测季节性积雪区域的能力评估。本文利用ALOS PALSAR四极模式获取的时间序列数据，对日本新泻地区白雪覆盖的山地生态系统的极化散射信号进行了研究。结果表明，可以从偏振参数中识别不同雪态散射机制的变化。特别是，不同的偏振参数提供了关于雪特性的补充信息。基于极化参数季节性变化的特点，提出了一种基于信息融合的积雪区域地图绘制方法。结合偏振指数可以成功地识别积雪范围，与现场测量和光学图像相比，总体准确率分别为74.4%和77.0%。
This study discusses the capability assessment of fully polarimetric L-band spaceborne synthetic aperture radar (SAR) for detection of seasonal snow covered areas. In this paper, ALOS PALSAR time-series data sets obtained in quad-pol modes have been investigated to evaluate the polarimetric signal scattered from a snow-covered mountainous ecosystem in Niigata, Japan. Results show that changes in the scattering mechanism across the various snow states can be identified from polarimetric parameters. In particular, different polarimetric parameters offer complementary information on the snow properties. Based on the characteristic seasonal changes of polarimetric parameters, a new method to map snow-covered areas is proposed in this study using an information fusion approach. Snow extent can be identified successfully by combining polarimetric indices with an overall accuracy of 74.4% as compared with in situ measurements and 77.0% as compared with optical images.