反向散射(电子邮件)
遥感
干涉合成孔径雷达
环境科学
校准
合成孔径雷达
均方误差
计算机科学
算法
地质学
数学
统计
电信
无线
作者
Davide Palmisano,G. Satalino,Anna Balenzano,F. Mattia
出处
期刊:IEEE Geoscience and Remote Sensing Letters
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:19: 1-5
被引量:3
标识
DOI:10.1109/lgrs.2022.3154631
摘要
This study proposes a hybrid incoherent–coherent change detection (CD) approach to retrieve surface soil moisture (SSM) from Sentinel-1 data. It combines time-series observations of synthetic aperture radar (SAR) backscatter and interferometric closure phase to deliver a method that does not require external calibration. A proof-of-concept assessment based on synthetic and experimental data is presented. Sentinel-1 and in situ data over a study site in Southern Italy during the Winter–Spring season 2017 that covered both bare and vegetated soil conditions have been acquired and analyzed. For bare soils, results indicate good performance, that is, Pearson correlation ≈0.8 and root mean square error (RMSE) ≈0.05 m 3 /m 3 . Conversely, over vegetated surfaces, poor results are found.
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