Abstract

This study proposes the use of a Spectral Linear Mixing Model (SLMM) on passive microwave data for mapping the concentration and area of young and/or first-year ice in the oceanic region located in the northwest of the Antarctic Peninsula. Sentinel-1A Synthetic Aperture Radar (SAR) data were used to estimate fraction images needed for subpixel analysis of passive microwave data acquired by the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS) in the 19H, 19 V, 37H, and 37 V channels and polarizations. Sea ice concentrations estimated by the SLMM approach had a difference of 1.4% (13.6% standard deviation, 15.3% root mean square error) when compared to sea ice concentrations mapped using Sentinel-1A SAR data. The evolution in the total area covered by young and/or first-year ice with concentrations ≥ 15% showed a negative linear trend for the studied region from 1979 to 2018.

摘要

本研究建议在被动微波数据上使用光谱线性混合模型 (SLMM)，以绘制位于南极半岛西北​​部海洋区域的年轻冰和/或第一年冰的浓度和面积。Sentinel-1A 合成孔径雷达 (SAR) 数据用于估计对由扫描多通道微波辐射计 (SMMR)、特殊传感器微波成像仪 (SSM/I) 和特殊传感器微波采集的无源微波数据进行亚像素分析所需的分数图像19H、19V、37H 和 37V 通道和极化中的成像仪/测深仪 (SSMIS)。与使用 Sentinel-1A SAR 数据绘制的海冰浓度相比，通过 SLMM 方法估计的海冰浓度有 1.4% 的差异（13.6% 标准偏差，15.3% 均方根误差）。