Volume 14 Issue 2
Aug.  2021
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Article Navigation >  Water Science and Engineering  > 2021  >  14(2): 87-96
Xu Yuan, Xiao-chun Zhang, Xiu-gui Wang, Yu Zhang. 2021: Flood disaster monitoring based on Sentinel-1 data: A case study of Sihu Basin and Huaibei Plain, China. Water Science and Engineering, 14(2): 87-96. doi: 10.1016/j.wse.2021.06.001
Citation: Xu Yuan, Xiao-chun Zhang, Xiu-gui Wang, Yu Zhang. 2021: Flood disaster monitoring based on Sentinel-1 data: A case study of Sihu Basin and Huaibei Plain, China. Water Science and Engineering, 14(2): 87-96. doi: 10.1016/j.wse.2021.06.001
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Flood disaster monitoring based on Sentinel-1 data: A case study of Sihu Basin and Huaibei Plain, China

doi: 10.1016/j.wse.2021.06.001
  • a.

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

  • b.

    Spatial Information Technology Application Research Department, Changjiang River Scientific Research Institute, Wuhan 430010, China

Funds:

the National Key Research and Development Program of China 2018YFC1508302

the National Key Research and Development Program of China 2018YFC1508301

the Natural Science Foundation of Hubei Province of China 2019CFB507

More Information
  • Corresponding author: E-mail address: xczhang@whu.edu.cn (Xiao-chun Zhang)
  • Received Date: 2020-11-09
  • Accepted Date: 2021-02-18
    • Available Online: 2021-06-08
    Abstract
  • Summer floods occur frequently in many regions of China, affecting economic development and social stability. Remote sensing is a new technique in disaster monitoring. In this study, the Sihu Basin in Hubei Province of China and the Huaibei Plain in Anhui Province of China were selected as the study areas. Thresholds of backscattering coefficients in the decision tree method were calculated with the histogram analysis method, and flood disaster monitoring in the two study areas was conducted with the threshold method using Sentinel-1 satellite images. Through satellite-based flood disaster monitoring, the flooded maps and the areas of expanded water bodies and flooded crops were derived. The satellite-based monitoring maps were derived by comparing the expanded area of images during a flood disaster with that before the disaster. The difference in spatiotemporal distribution of flood disasters in these two regions was analyzed. The results showed that flood disasters in the Sihu Basin occurred frequently in June and July, and flood disasters in the Huaibei Plain mostly occurred in August, with a high interannual variability. Flood disasters in the Sihu Basin were usually widespread, and the affected area was between Changhu and Honghu lakes. The Huaibei Plain was affected by scattered disasters. The annual mean percentages of flooded crop area were 14.91% and 3.74% in the Sihu Basin and Huaibei Plain, respectively. The accuracies of the extracted flooded area in the Sihu Basin in 2016 and 2017 were 96.20% and 95.19%, respectively.

     

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  • Bai, Y., Hu, S.P., 2020. Vegetation type distribution in nature reserve based on CART decision tree. J. Beijing For. Univ. 42(6), 113-122 (in Chinese). https://doi.org/10.12171/j.1000-1522.20190269.
    Chen, S.J., Yao, H.X., Chai, S.M., 1999. Water resource and its management in Sihu Region, central China. Resour. Environ. Yangtze Basin 8(3), 3-5 (in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-CJLY903.004.htm
    Chen, W.Q., Ding, J.L., Li, Y.H., Niu, Z.Y., 2015. Extraction of water information based on China-made GF-1 remote sense image. Resour. Sci. 37(6), 1166-1172 (in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZRZY201506009.htm
    Chen, Y.Y., Zheng, J.Z., Wei, H.H., Zhang, R.C., Fang, X.X., 2020. Water Information extraction of Nanjing City Based on Sentinel-1A data. Geospatial Information 18(9), 62-65 (in Chinese). https://doi.org/10.3969/j.issn.1672-4623.2020.09.014.
    Du, W.N., Xu, A.G., Song, Y.X., Sun, H.S., 2016. Absolute radiometric calibration of level-1 detected ground range products of new SAR sensors. Remote Sens. Land Resour. 28(4), 30-34 (in Chinese). https://doi.org/10.6046/gtzyyg.2016.04.05.
    Fan, W., He, B.F., Yao, Y., Zhang, H.Q., Xun, S.P., 2018. Survey study of flood inundation areas based on Sentinel-1. Meteorol. Sci. Technol. 46(2), 396-402 (in Chinese). https://doi.org/10.19517/j.1671-6345.20160697.
    Gu, L.W., Wang, C., Li, W.T., Wei, S.Y., 2011. GIS-based risk zoning of flood hazard in Anhui Province. J. Anhui Agri. 39(27), 16619-16621 (in Chinese). https://doi.org/10.3969/j.issn.0517-6611.2011.27.050.
    Hess, L.L., Melack, J.M., Simonett, D.S., 1990. Radar detection of flooding beneath the forest canopy: A review. Int. J. Rem. Sens. 11(7), 1313-1325. https://doi.org/10.1080/01431169008955095.
    Huang, C., Wu, L.N., Song, J.L., Yan, X.G., 2016. Comparative research on supervised classification and object-oriented classification of remote sensing image. Rural Econ. Sci. Technol. 27(23), 66-68 (in Chinese). https://doi.org/10.3969/j.issn.1007-7103.2016.23.024.
    Kundu, S., Aggarwal, S.P., Kingma, N., Mondal, A., Khare, D., 2015. Flood monitoring using microwave remote sensing in a part of Nuna River Basin, Odisha, India. Nat. Hazards 76(1), 123-138. https://doi.org/10.1007/s11069-014-1478-8.
    Lei, W.M., Liu, G.Y., Huang, S.J., 2002. The imaging of distributed satellite SAR system using beamforming and multi-look. J. Electron. Inf. Technol. 24(11), 1620-1626 (in Chinese). http://d.wanfangdata.com.cn/Periodical/dzkxxk200211028
    Li, B., Yan, Q., Zhang, L., Liang, Y., 2013. Flood monitoring and analysis over the middle reaches of Yangtze River Basin with MODIS time-series imagery. Geomatics Inf. Sci. Wuhan Univ. 38(7), 789-793 (in Chinese). https://doi.org/10.13203/j.whugis2013.07.025. http://ieeexplore.ieee.org/document/6049253/
    Li, S.M., Liu, J.P., Wang, M., Shang, Y.X., Song, K.S., 2018. Flood remote sensing monitoring and disaster assessment on in heavy disaster area of the middle and lower reaches of Yangtze River in 2016 based on Sentinel-1A imagery. J. Anhui Agri. Sci. 46(10), 68-74 (in Chinese). https://doi.org/10.13989/j.cnki.0517-6611.2018.10.020. http://www.zhangqiaokeyan.com/academic-journal-cn_journal-anhui-agricultural-sciences_thesis/020121194028.html
    Liu, S.M., 2017. Evolvement of Rainstorm Event and Risk Analysis of Crop Waterlogging in Huaibei Plain of Anhui Province. Ph. D. Dissertation. Beijing Forestry University, Beijing (in Chinese).
    Ou, G.H., Huang, Z.J., Bai, X.T., 2008. Optimal Dispatch and Decision Support System of Four Lakes Drainage System. Wuhan University Press, Wuhan (in Chinese).
    Puno, G.R., Puno, R.C. C, Maghuyop, I.V., 2021. Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed. Global J. Environ. Sci. Manag. 7(2), 225-238. https://doi.org/10.22034/gjesm.2021.02.06.
    Qin, D.H., 2014. Climate change science and sustainable development. Prog. Geogr. 33(7), 874-883 (in Chinese). https://doi.org/10.11820/dlkxjz.2014.07.002.
    Rubinato, M., Nichols, A., Peng, Y., Zhang, J.M., Lashford, C., Cai, Y.P., Lin, P.Z., Tait, S., 2019. Urban and river flooding: Comparison of flood risk management approaches in the UK and China and an assessment of future knowledge needs. Water Sci. Eng. 12(4), 274-283. https://doi.org/10.1016/j.wse.2019.12.004.
    Sun, Y.Y., Li, X.T., Yang, F.J., Huang, S.F., 2014. Study on the mountain water extraction method of the space-borne SAR image. J. China Inst. Water Resour. Hydropower Res. 12(3), 258-263 (in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGSX201403006.htm
    Tao, J.P., 2004. A Research on Risk Management of Agricultural Flood Disaster in the Plain of the Mid-Yangtze River. Ph. D. Dissertation. Huazhong Agricultural University, Wuhan (in Chinese).
    Wu, W.H., Wang, L.X., Ma, Z., 2019. Flood extraction and monitoring based on Sentinel-1B SAR data. Geomatics & Geomatics Spatial Inf. Technol. 42(4), 110-111 (in Chinese). https://doi.org/10.3969/j.issn.1672-5867.2019.04.032.
    Yang, P.G., Hu, J.F., Yu, B.H., Song, W., Li, J., 2013. Spatial and temporal characteristics of flood disaster in Asia-Pacific region. J. Shanxi Normal Univ. 41(1), 74-81 (in Chinese). https://doi.org/10.15983/j.cnki.jsnu.2013.01.007.
    Yang, X.G., 2012. Research and improvement on the histogram bimodal method. Electron. Des. Eng. 20(12), 176-179 (in Chinese). https://doi.org/10.14022/j.cnki.dzsjgc.2012.12.033.
    Zeng, L.F., Li, L., Wan, L.H., 2015. SAR-based Fast Flood Mapping Using Sentinel-1 Imagery. Geomatics World 22(5), 100-103 (in Chinese). https://doi.org/10.3969/j.issn.1672-1586.2015.05.020.
    Zeng, Z.Y., Xu, J.J., Wang, Y.Q., 2020. Advances in flood risk identification and dynamic modelling based on remote sensing spatial information. Adv. Water Sci. 31(3), 463-472 (in Chinese). https://doi.org/10.14042/j.cnki.32.1309.2020.03.016.
    Zhang, G., Xia, J.X., Du, L., Wang, D.C., Wang, S.D., 2020. Comparison and Collaborative Application of Water Index Based on Landsat8 and Sentinel-2A Data: A Case Study in Heihe River Basin, Northwest China. J. Basic Sci. Eng. 28(6), 1361-1368 (in Chinese). https://doi.org/10.16058/j.issn.1005-0930.2020.06.009.
    Zhang, K., Chao, L.J., Wang, Q.Q., Huang, Y.C., Liu, R.H., Hong, Y., Tu, Y., Qu, W., Ye, J.Y., 2019. Using multi-satellite microwave remote sensing observations for retrieval of daily surface soil moisture across China. Water Sci. Eng. 12(2), 85-97. https://doi.org/10.1016/j.wse.2019.06.001.
    Zhang, M.M., Li, Z., Tian, B.S., Zhou, J.M., Tang, P.P., 2016. The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study. Int. J. Appl. Earth Obs. Geoinf. 45, 1-13. https://doi.org/10.1016/j.jag.2015.10.001.
    Zhang, Q.Y., Tao, S.Y., Peng, J.B., 2008. The studies of meteorological disasters over China. Chin. J. Atmos. Sci. 32(4), 815-825 (in Chinese). https://doi.org/10.3878/j.issn.1006-9895.2008.04.10.
    Zhao, J.L., Han, Y.J., Li, Y., Li, W.C., Zhang, X.Y., 2021. Application of Sentinel-2 MSI satellite data in water body information extraction. Geomatics Spatial Inf. Technol. 44(1), 43-46 (in Chinese).
    Zhao, X., 2012. Research on Extraction Method of Flood Inundation Information Based on MODIS and ASAR Data. M.E. Dissertation. University of Electronic Science and Technology of China, Chengdu (in Chinese).
    Zheng, W., Liu, C., Cao, Y.G., Huang, D.P., 2007. Extracting the flood inundated area based on Asar and TM image. Sci. Surv. Mapp. 32(5), 180-181 (in Chinese). https://doi.org/10.3771/j.issn.1009-2307.2007.05.068.
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