• DocumentCode
    143277
  • Title

    The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield

  • Author

    Lei Zhou ; Jianjun Wu ; Tangao Hu ; Song Leng ; Jianhui Zhang ; Ming Liu ; Lin Zhao

  • Author_Institution
    China Nat. Environ. Monitoring Center, Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2050
  • Lastpage
    2053
  • Abstract
    Chosen the winter crop yield data from agro-meteorological sites and ISDI results during 2000-2009 in Mid-eastern China, the corresponding relationship between drought and winter crop yield was analyzed using confusion matrix and Kappa coefficient. The results shows that the high or low values of ISDI can reflect the crop yield reduction condition caused by the drought or flood; the normal values of ISDI can reflect the crop yield increasing and fluctuation in normal condition. ISDI monitored drought condition has obvious corresponding relationship with crop yield change. This also proved that ISDI can accurate monitor the drought events occurred during winter crop growing season.
  • Keywords
    crops; floods; hydrology; AD 2000 to 2009; ISDI drought condition monitoring; ISDI result; Kappa coefficient; accurate drought event monitoring; agro-meteorological site; confusion matrix; crop yield change relationship; crop yield fluctuation; crop yield reduction condition; detected drought condition; drought-winter crop yield relationship; flood; high ISDI value; integrated surface drought index relationship investigation; low ISDI value; mid-eastern China; normal ISDI value; normal condition; winter crop growing season; winter crop yield data; Agriculture; Floods; Fluctuations; Indexes; Monitoring; Remote sensing; Vegetation mapping; Agricultural drought; Crop yield; ISDI; Kappa;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946867
  • Filename
    6946867