• DocumentCode
    3008977
  • Title

    A Method to Assess Land Productivity in Huang-Huai-Hai Region Using Remote Sensing

  • Author

    Du Xin ; Wu Bingfang ; Meng Jihua ; Li Qiangzi ; Zhang FeiFei

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., CAS, Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Huang-Huai-Hai region is one of the main grain production regions, thus it is helpful to assess land productivity in this region for informing land users about their land quality and supporting policy and decision-making. In this paper, the land quality was monitored by crop yield estimation. Based on estimating crop biomass and harvest index with remote sensing, the crop yield of Huang-Huai-Hai region from 2005 to 2008 was estimated. And with multiple cropping index, which was also estimated with remote sensing, the single crop season yield was calculated. Then the land productivity of the region was divided into three levels, high, medium and low productivity, based on different standard in different agroecological zone. After the analysis, it was concluded that the cropland acreage which is in the medium or low level is huge, more than 80%, therefore, due to the limited uncultivated arable land and difficulty to increase proportion of grain crops in Huang-Huai-Hai region, it must be a significative tool for increasing grain production to improve the crop yield where the crop yield level is medium or low.
  • Keywords
    agriculture; crops; vegetation mapping; AD 2005 to 2008; China; Huang-Huai-Hai region; agroecological zone; crop biomass estimation; crop yield estimation; grain production regions; harvest index; land productivity assessment method; land quality; remote sensing; Agriculture; Biomass; Indexes; Productivity; Remote sensing; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631358
  • Filename
    5631358