• DocumentCode
    88295
  • Title

    The Integrated Surface Drought Index (ISDI) as an Indicator for Agricultural Drought Monitoring: Theory, Validation, and Application in Mid-Eastern China

  • Author

    Lei Zhou ; Jianjun Wu ; Jianhui Zhang ; Song Leng ; Ming Liu ; Jie Zhang ; Lin Zhao ; Fengying Zhang ; Yu Shi

  • Author_Institution
    China Nat. Environ. Monitoring Center, Beijing, China
  • Volume
    6
  • Issue
    3
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1254
  • Lastpage
    1262
  • Abstract
    Based on the concept of the new drought index called Vegetation Drought Response Index (VegDRI) using data-mining technology, an Integrated Surface Drought Index (ISDI) was established in this study. ISDI improved the original model, adding remote sensed temperature information into the input factors. This index attempt to describe drought from a more comprehensive perspective, the integrated information including: traditional meteorological data, satellite-derived earth surface water and heat environments, vegetation conditions, and inherent properties of the earth´s surface. The Cross-validation results indicated that ISDI construction models for three phases of growth season have very high regression accuracy. The practical application of ISDI in mid-eastern China during the reported dry year 2009 also demonstrated that it can provide accurate and detailed drought condition both at regional and local scale. This investigation showed that ISDI has good application potential for drought monitoring across China.
  • Keywords
    agriculture; atmospheric temperature; data mining; environmental monitoring (geophysics); hydrology; remote sensing; vegetation; AD 2009; Integrated Surface Drought Index; VegDRI; Vegetation Drought Response Index; agricultural drought monitoring; data mining technology; heat environment; mideastern China; remote sensed temperature information; surface water environment; vegetation condition; Data mining; ISDI; drought; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2248077
  • Filename
    6523184