Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)
Yin Qiang①② Li Yang①② Huang Ping-ping③ Lin Yun② Hong Wen*②
①(University of Chinese Academy of Sciences, Beijing 100049, China) ②(National Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ③(Inner Mongolia University of Technology, Hohhot 010051, China)
Interferometric Synthetic Aperture Radar (InSAR) coherence is important not only in determining measurement quality but also for extracting thematic information about objects on the ground in combination with backscattering coefficient. The decorrelation of repeat-pass InSAR caused by soil moisture change has received little attention in comparison with other sources of decorrelation. In this paper, we use ENVISAT ASAR data and laboratory experiments to analyze the repeat-pass InSAR coherence loss results due to soil moisture change. C-band ASAR data has high coherence over bare soil and grassland areas, which indicates that these two types of land cover are good choices for the analysis of InSAR coherence loss due to soil moisture change. In addition, spaceborne SAR with short revisit capability, has great potential for this specific application, even for agricultural fields. We conducted further analysis of the soil-sample laboratory data acquired in an anechoic chamber because of its controllable environment and the ability to exclude other sources of decorrelation. We found that the lower frequency range, 2-2.5 GHz, has the highest coherence and is the most insensitive to the initial soil moisture value. This indicates that the S band is more advantageous than the C band when using InSAR coherence to detect soil moisture change. This is true at least with respect to the S band's high coherence level and insensitivity to initial soil moisture values.
Supported by the National Natural Science Foundation of China (61431018, 61201404, 61461040) and the Special Project of Inner Mongolia Key Science & Technology.
通讯作者:
Hong Wen
E-mail: wendy_iecas@163.com
作者简介: Yin Qiang (1982-) is currently a Ph.D. candidate in University of Chinese Academy of Sciences. She received her Master degree in signal and information processing from Graduate University of Chinese Academy of Sciences in 2008. She has work experiences in the Institute of Electronics, Chinese Academy of Sciences, and European Space Agency as assistant researcher and research fellow, respectively. Her current research interests include scattering modeling, polarimetric/interferometric SAR processing and soil moisture application. Li Yang (1983-) received his Ph.D. degree in 2015. His research interests include polarimetric SAR information processing and application. Huang Ping-ping (1978-) is an associate professor and supervisor of master students. His research interests are SAR imaging algorithms, data preprocessing, and applications. Lin Yun (1983-) received her Ph.D. degree in 2011. She is currently an assistant researcher. Her research interests are Radar signal processing theory and imaging algorithms. Hong Wen (1968-) is a professor and supervisor of Ph.D. graduate students. Her research interests include Radar signal processing theory, SAR imaging algorithms, microwave remote sensing image processing and its applications etc.
引用本文:
尹 嫱, 李 洋, 黄平平, 林 赟, 洪 文. 土壤湿度变化引起的干涉SAR相干性损失分析(英文)[J]. 雷达学报, 2015, 4(6): 689-697.
Yin Qiang, Li Yang, Huang Ping-ping, Lin Yun, Hong Wen. Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English). JOURNAL OF RADARS, 2015, 4(6): 689-697.
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2015, Vol. 4 
