• DocumentCode
    3591652
  • Title

    Drought Monitoring with Remote Sensing Data and Atmospheric Elements

  • Author

    Yating, Zhan ; Ming, Wei ; Ailian, Min

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Minist. of Educ., Nanjing Univ. of Inf. Sci. & Technol. Nanjing, Nanjing, China
  • Volume
    1
  • fYear
    2010
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    MODIS has the advantages of multi-band, high spatial and temporal resolution, which are propitious to the dynamic monitoring of a large area of arid regions. During late October 2008 and mid-February 2009, more than 10 provinces in east-central and northern China were hit by the severe drought. In this paper, Liaoning Province suffered the serious drought in early 2009 is selected as the study domain. The drought information in MODIS data is extracted through the thermal inertia model, which is used to distinguish the range and the degree of the drought. In order to make a deep analysis of atmospheric structure characteristics and mechanism which led to this drought, wind direction, wind velocity, temperature, humidity and structure characteristics of atmosphere energy during this drought are revealed from two aspects: weather situation, Skew-T diagram. The results show the main reason for this drought is the abnormal atmospheric structure, including the maintenance of dry cold air path caused by the strong and stable northeast cold vortex, the large temperature-dew point difference of the whole troposphere, the little water vapor in source area because of the northwest wind and the stable distribution of atmosphere.
  • Keywords
    Atmospheric modeling; Data mining; Humidity; MODIS; Remote monitoring; Spatial resolution; Temperature; Terrestrial atmosphere; Water resources; Wind speed; MODIS; cold air path; drought; thermal inertia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.103
  • Filename
    5493085