JOURNAL OF NATURAL RESOURCES ›› 1994, Vol. 9 ›› Issue (4): 365-368.doi: 10.11849/zrzyxb.1994.04.009

• Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS • Previous Articles     Next Articles

RESEARCH ON THE METHODS OF QUANTITATIVE ESTIMATE OF THE GRASS OUTPUT OF A VAST GRASSLAND BY USING THE REMOTE SENSING DATA OF NOAA/AVHRR

Li Jing1, Chen Jin2, Yuan Qing3   

  1. 1. Institute of Remote Sensing Application, Beijing University;
    2. Department of Geography, Beijing Normal University;
    3. Institute of Grassland, Chinese Academy of Agricultural Science
  • Online:1994-12-25 Published:1994-12-25

Abstract: In this paper, the Advanced Very High Resolution Radiometer (AVHRR) data from the NOAA Meteorological Saterllite are used to estimate the grass output of a vast grassland. Xilingele League of Inner Mongolia is selected as a test area, which is a typical grassland in North China. From the aspects of estimate principles, vegetation index selection and landscape ecological regionalization, the feasibility and approaches of using the NOAA/ AVHRR data to estimate and monitor the grass output of a vast grassland are discussed. Some new methods, including atmospheric correction, geometric correction and so on, are tried in data preprocess. The GIS technology also is applied in the research. It can be concluded that suitable landscape ecological regionalization and essencial data preprocess are the basis of improving the accuracy of output estimate.

Key words: output estimate of a vast grassland, landscape ecological regionalization, data preprocess.