• DocumentCode
    143639
  • Title

    User-oriented agricultural drought information cluster

  • Author

    Chunming Peng ; Meixia Deng ; Liping Di

  • Author_Institution
    Center for Spatial Inf. Sci. & Syst., George Mason Univ., Fairfax, VA, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3105
  • Lastpage
    3108
  • Abstract
    Agricultural droughts can be perceived in four forms - drought data, information, knowledge, and wisdom. For better understanding, mitigation and harness of drought, it is necessary to extract “raw” drought information into human-perceivable data (e.g., remotely sensed data) and from which to discover patterns and form knowledge. This article explores advantages of geospatial Web services in providing on-demand agricultural drought analysis and equipping users from various domains (including drought experts, decision-makers and farmers) with information, knowledge and even wisdom needed in the process of agricultural drought monitoring, assessment and management. Various Web services are established to support drought analysis and decision-making for the general public. The potential of Web services in automating geospatial knowledge discovery and dissemination within the Big Data era is also illustrated here.
  • Keywords
    Big Data; Web services; agricultural engineering; data mining; decision support systems; geophysics computing; hydrological techniques; hydrology; Big Data era; agricultural drought assessment; agricultural drought management; agricultural drought monitoring; decision-makers; decision-making; drought data; drought experts; drought harness; drought knowledge; drought mitigation; drought wisdom; farmers; general public; geospatial Web services; geospatial knowledge discovery; human-perceivable data; on-demand agricultural drought analysis; raw drought information; remotely sensed data; user-oriented agricultural drought information cluster; Agriculture; Data models; Indexes; Remote sensing; Soil moisture; Vegetation mapping; Web services; Agriculture; Data assimilation; Data integration; Earth Observing System; Knowledge based system; Web services; computer aided analysis; knowledge management;
  • 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.2014.6947134
  • Filename
    6947134