Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)
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...
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Format: | Article |
Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2015-12-01
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Series: | Leida xuebao |
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Online Access: | http://radars.ie.ac.cn/CN/html/R15075.htm |
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author | Yin Qiang Li Yang Huang Ping-ping Lin Yun Hong Wen |
author_facet | Yin Qiang Li Yang Huang Ping-ping Lin Yun Hong Wen |
author_sort | Yin Qiang |
collection | DOAJ |
description | 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. |
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id | doaj.art-bb2218a3870e4672bc094d845cf10931 |
institution | Directory Open Access Journal |
issn | 2095-283X 2095-283X |
language | English |
last_indexed | 2024-03-09T09:34:11Z |
publishDate | 2015-12-01 |
publisher | China Science Publishing & Media Ltd. (CSPM) |
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series | Leida xuebao |
spelling | doaj.art-bb2218a3870e4672bc094d845cf109312023-12-02T02:39:23ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2015-12-014668969710.12000/JR15075Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)Yin Qiang0Li Yang1Huang Ping-ping2Lin Yun3Hong Wen4University of Chinese Academy of SciencesUniversity of Chinese Academy of SciencesInner Mongolia University of TechnologyNational Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of SciencesNational Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of SciencesInterferometric 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.http://radars.ie.ac.cn/CN/html/R15075.htmRepeat passRadar interferometryCoherenceSoil moisture |
spellingShingle | Yin Qiang Li Yang Huang Ping-ping Lin Yun Hong Wen Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) Leida xuebao Repeat pass Radar interferometry Coherence Soil moisture |
title | Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) |
title_full | Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) |
title_fullStr | Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) |
title_full_unstemmed | Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) |
title_short | Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English) |
title_sort | analysis of insar coherence loss caused by soil moisture variation in english |
topic | Repeat pass Radar interferometry Coherence Soil moisture |
url | http://radars.ie.ac.cn/CN/html/R15075.htm |
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