• DocumentCode
    2133028
  • Title

    Crop drought monitoring using serial NDVI & NDWI in Northern China

  • Author

    Liu, Chenglin ; Wu, Bingfang ; Tian, Yichen ; Xu, Wenbo ; Huang, Jianxi

  • Author_Institution
    Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China
  • Volume
    4
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2264
  • Abstract
    Drought is one of the major environmental disasters in north China, and it is very important to detect and monitor drought periodically at large scale for decision making. The Normalized Difference Vegetation Index (NDVI) has been widely used to monitor moisture-related vegetation condition. To better understand the relationship between vegetation vigor and moisture availability, the Normalized Difference Water Index (NDWI) was calculated in addition to the NDVI. In this study, the analysis was conducted on time series compositing NDVI and NDWI of the period of ten days. With the support of land use map and soil humidity of crop for the growing season, we build the simple model of northern China for crop drought monitoring. The results of July 2002 show that the large scale temporal and spatial characteristics of drought in Northern China can be effectively detected by this way. Based on this method, we have developed a operational crop drought monitoring system for whole China land areas.
  • Keywords
    crops; hydrological techniques; hydrology; rain; soil; time series; vegetation mapping; AD 2002 07; NDVI; NDWI; Normalized Difference Vegetation Index; Normalized Difference Water Index; crop drought monitoring; environmental disaster; moisture availability; northern China; soil humidity; Civil engineering; Condition monitoring; Crops; Decision making; Infrared detectors; Large-scale systems; Reflectivity; Remote monitoring; Soil moisture; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369735
  • Filename
    1369735