• DocumentCode
    513520
  • Title

    Detection of water deficit using optical data — case study Poland

  • Author

    Dabrowska-Zielinska, K. ; Kowalik, W. ; Budzynska, M. ; Guerra, A.

  • Author_Institution
    Inst. of Geodesy & Cartography, Warsaw, Poland
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The SPOT VEGETATION and NOAA AVHRR images have been used as the source of information on crop growing conditions and yield forecast for cereals and winter wheat in Poland. Three indices - Vegetation Condition Index (VCI), Accumulated Vegetation Condition Index (AVCI) based on NDVI and Temperature Condition Index (TCI) based on surface temperature have been computed for agriculture area in Poland. These indices were correlated with cereal yield and critical periods of crop development were found as significant for this relationship. The information about indices from particle decades was included into the cereals and winter wheat yield modelling. The database of the indices and obtained statistical models were used for developing the Predictive Indices (PTVCI, PTAVCI, VCIAVG) applied for the forecast of yield for each decade of the year. The method may be used operationally due to its simplicity and easy obtainable data.
  • Keywords
    agriculture; atmospheric precipitation; atmospheric techniques; atmospheric temperature; crops; hydrological techniques; land surface temperature; vegetation mapping; AVCI; NDVI; NOAA AVHRR images; Poland; SPOT VEGETATION images; TCI; accumulated vegetation condition index; agriculture; cereals; crop growing conditions; crop yield forecast; normalised difference vegetation index; optical data; predictive indices; surface temperature; temperature condition index; water deficit detection; winter wheat; Agriculture; Computer aided software engineering; Crops; Fluctuations; Geodesy; Information resources; Production; Temperature sensors; Vegetation mapping; Water resources; NOAA AVHRR; SPOT VEGETATION; soil-vegetation indices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418294
  • Filename
    5418294