Volume 4 Issue 6
Dec.  2015
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Yin Qiang, Li Yang, Huang Ping-ping, Lin Yun, Hong Wen. Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)[J]. Journal of Radars, 2015, 4(6): 689-697. doi: 10.12000/JR15075
Citation: Yin Qiang, Li Yang, Huang Ping-ping, Lin Yun, Hong Wen. Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)[J]. Journal of Radars, 2015, 4(6): 689-697. doi: 10.12000/JR15075

Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)

doi: 10.12000/JR15075
Funds:

Supported by the National Natural Science Foundation of China (61431018, 61201404, 61461040) and the Special Project of Inner Mongolia Key Science Technology.

  • Received Date: 2015-06-15
  • Rev Recd Date: 2015-10-12
  • Publish Date: 2015-12-28
  • 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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  • [1]
    Barrett B, Whelan P, and Dwyer E. Detecting changes in surface soil moisture content using differential SAR interferometry[J]. International Journal of Remote Sensing, 2013, 34(20): 7091-7112.
    [2]
    Gabriel A, Goldstein R, and Zebker H. Mapping small elevation changes over large areas: differential radar interferometry[J]. Journal of Geophysical Research, 1989, 94: 9183-9191.
    [3]
    Hajnsek I and Prats P. Soil moisture estimation in time with D-InSAR[C]. IEEE International Geoscience and Remote Sensing Symposium, Boston, USA, 2008: 546-549.
    [4]
    Hensley S, Michel T, Van Zyl J, et al.. Effect of soil moisture on polarimetric-interferometric repeat pass observations by UAVSAR during 2010 Canadian soil moisture campaign[C]. IEEE International Geoscience and Remote Sensing Symposium, Vancouver, Canada, 2011: 1063-1066.
    [5]
    Zhang T, Zeng Q, Li Y, et al.. Study on relation between InSAR coherence and soil moisture[C]. ISPRS Congress, Beijing, China, 2008: 131-134.
    [6]
    Nesti G, Tarchi D, and Rudant J. Decorrelation of backscattered signal due to soil moisture changes[C]. IEEE International Geoscience and Remote Sensing Symposium, Firenze, Italy, 1995: 2026-2028.
    [7]
    Nolan M, Fatland D, and Hinzman L. DInSAR measurement of soil moisture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(12): 2802-2813.
    [8]
    Morrison K, Bennett J, Nolan M, et al.. Laboratory measurement of the DInSAR response to spatiotemporal variations in soil moisture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3815-3823.
    [9]
    De Zan F, Parizzi A, Prats-Iraola P, et al.. A SAR interferometric model for soil moisture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 418-425.
    [10]
    Yin Q, Hong W, Li Y, et al.. analysis on soil moisture estimation of SAR data based on coherent scattering model[J]. 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, 2014: 739-742.
    [11]
    Zwieback S, Hensley S, and Hajnsek I. Assessment of soil moisture effects on L-band radar interferometry[J]. Remote Sensing of the Environment, 2015, 164: 77-89.
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