• DocumentCode
    3446645
  • Title

    Satellite observations on agricultural adaptation to drought in southwestern China

  • Author

    Dong, Yansheng ; Chen, Hongping ; Yu, Deyong ; Li, Cunjun

  • Author_Institution
    Beijing Res. Center for Inf. Technol. in Agric., Beijing, China
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    China southwest region has suffered from three years of severe drought in the dry season from 2010 to 2012, with devastating impacts on agricultural productions. Previous agricultural cropping patterns were adjusted to adapt to drought. How to find evidences of agricultural adaption to drought? Here, we showed agriculture adaptation to drought stress according to the changes of vegetation greenness, a proxy for agricultural drought conditions. Based on weather station observation from 1991 to April 2012, we concluded that the study area suffered from extreme drought in the dry reason of both 2010 and 2012. Notably, based on satellite monitoring of agricultural vegetation greenness in ten years, the results showed that drought intensity in 2010 and 2012 was almost equivalent (-66.85% in 2010 and -65.87% in 2012) and drought extension in 2012 was 14.52%, which was less than the half of 36.46% in 2010. Overall, the evidences of agricultural adaption to drought were obvious.
  • Keywords
    hydrology; rain; vegetation; AD 1991 to 2012 04; AD 2010 to 2012; China southwest region; agricultural adaptation; agricultural cropping patterns; agricultural drought conditions; agricultural productions; agricultural vegetation greenness; satellite observations; severe drought; weather station observation; Agriculture; MODIS; Monitoring; Production; Remote sensing; Satellites; Vegetation mapping; adaption; agricultural drought; remote sensing; vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311704
  • Filename
    6311704