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Dynamic monitoring of drought using HJ-1 and MODIS time series data in northern China

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  • Dong Jiang
  • Jingying Fu
  • Dafang Zhuang
  • Xinliang Xu

Abstract

From early November 2008 to February 2009, lack of rainfall led to severe drought in northern China. More than 9.3 million ha of wheat in six major crop production provinces, including Henan, Anhui, Shandong, Shanxi, Gansu, and Shaanxi, were hit by drought. Supported by Chinese HJ-1 satellite images together with NASA Moderate Resolution Imaging Spectroradiometer (MODIS) data, dynamic monitoring of the drought was conducted. HJ-1 CCD data with 30-m resolution were used to identify cropland information. Spatial –temporal variation of drought was detected using Vegetation Index and Water Index time series data derived from MODIS visible, infrared, and short-wave infrared bands. The influences of drought were classified into five levels based on MODIS-derived 8-day composite Anomaly Water Index (AWI) and field survey data. The results indicated that the drought deteriorated beginning in November 2008 and became most serious in late January 2009. HJ-1 data together with MODIS data proved to be valuable data sources for monitoring soil moisture and drought at a both regional and national scale. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Dong Jiang & Jingying Fu & Dafang Zhuang & Xinliang Xu, 2013. "Dynamic monitoring of drought using HJ-1 and MODIS time series data in northern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 337-350, September.
    • Handle: RePEc:spr:nathaz:v:68:y:2013:i:2:p:337-350
    DOI: 10.1007/s11069-013-0626-x
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    References listed on IDEAS

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    1. Thenkabail, Prasad Srinivas & Gamage, M. S. D. Nilantha & Smakhtin, Vladimir U., 2004. "The use of remote sensing data for drought assessment and monitoring in southwest Asia," IWMI Research Reports H035615, International Water Management Institute.
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    Cited by:

    1. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1135-1152, January.
    2. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1135-1152, January.

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