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Information Extraction of Saline-alkali Soil in the West of Jilin Province Based on Fully Polarimetric SAR-a Case Study in Qian An County

Published: 22 October 2018 Publication History

Abstract

Soil salinization1 is one of the major land degradation problems, which result in a serious threat to agricultural production and ecological environment. How to monitor soil salinization is of great significance to the management of saline-alkali soil. Saline-alkali soil is estimated quantificationally at regional scale using fully-polarimetric SAR. Based on the monitoring data of saline-alkali soil SAR in study area, the four-polarization data in Radarsat-2 image was analyzed, and entropy, anti-entropy, and average scattering angle were extracted to characterize the scattering mechanism. Based on H/a plane space, combined with Wishart unsupervised classification method, the type of observed scattering media is estimated from the physical interpretation of basic scattering mechanism, and the soil salinization information in the study area is extracted. The classification accuracy obtained by using the Wishart classification is compared with the traditional classification algorithm. It is found that the fully polarized SAR image has an irreplaceable advantage in the information extraction of saline-alkali land.

References

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Zun-Qin Wang. 1993. Saline-alkali Soil in Chinese. Science Press, Beijing, 1--100.
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Yuan-Xiu Guam and Gao-Huan Liu. 2001. A Review of Regional Soil Salinization Monitoring by Remote Sensing. Remote Sensing, Technology and Applicatlon, 16(1), 40--44.
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Nurmemet I, Ghulam A, and Tiyip T, et al. 2015. Monitoring soil salinization in Keriya river basin, northwestern China using passive reflective and active microwave remote sensing data. Remote Sensing, 7(7), 8803--8829.
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Lhissou R, Chokmani K, and Harti A E, et al. 2013. Soil salinity estimation using RADARSAT2 polarimetric data in arid and sub-arid regions: Morocco and Tunisia cases. Egu general Assembly, 15, 1--10.
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Ming-Ze Li, Xin-Tong Yu, and Yuan-Ke Gao, et al. 2018. Remote sensing quantification on forest biomass based on SAR polarization decomposition and Landsat data. Journal of Beijing Forestry university, 40(2), 1--10.
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Pottier E and Lee J S. 2000. Application of the ((H/A/a)) polarimetric decomposition theorem for unsupervised classification of fully polarimetric SAR data based on the Wishart distribution. Proceeding of Committee on Earth Observing Satellites SAR, Workshop Toulouse, 450, 335--340.
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Duan Susu, Ilyas Nurmemet, and GUO Li-dan, et al. 2008. Extracting Soil Salinization in Typical Arid Area Based on Fully Po1SAR. Hubei Agricultural Sciences, 57(2), 110--114.
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Chao Wang, Hong Zhang, and Xi Chen, et al. 2008. Fully-polarization Synthetic Aperture Radar Image Processing, Science Press, Beijing, 1--124.
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Jong-Sen Lee and Eric Pottier. 2008. Polarimetric Radar Imaging. CRC Press Inc.
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http://www.jlsy.gov.cn/.
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http://www.ceode.cas.cn/sjyhfw/ygwxfj/dmjszjswx/201109/t20110929_3356418.html.
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http://www.ceode.cas.cn/sjyhfw/

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  1. Information Extraction of Saline-alkali Soil in the West of Jilin Province Based on Fully Polarimetric SAR-a Case Study in Qian An County

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    CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application Engineering
    October 2018
    1083 pages
    ISBN:9781450365123
    DOI:10.1145/3207677
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 22 October 2018

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    Author Tags

    1. Wishart classification
    2. fully polarimetric SAR
    3. saline-alkali soil
    4. target decomposition

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