• DocumentCode
    2142257
  • Title

    Developing method of vegetation fraction estimation by remote sensing for soil loss equation: a case in the Upper Basin of Miyun Reservoir

  • Author

    Wu Bingfang ; Li Miaomiao ; Yon Changzhen ; Zhou Weifeng ; Yan Changzhen

  • Author_Institution
    Inst. of Remote Sensing Applications, Beijing
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    4352
  • Abstract
    Vegetation fraction is an input parameter to scale, the vegetation cover on the ground for soil loss equation. In order to calculate the yearly volume of losing soil in the Upper Basin of Miyun Reservoir in the north of Beijing, China, it is necessary to develop a model to estimate vegetation fraction using remote sensing technology. Based on the analysis on the existing methods of measuring vegetation fraction, an improved Dimidiate Pixel Model was developed to estimate vegetation fraction from normalized difference vegetation index (NDVI) derived from Landsat TM images, and a new method was also brought forward to quantify NDVI thresholds of soil and vegetation. The. vegetation fraction data have been estimated using improved model in the study area, and was validated with the field survey data. The result shows that the improved model could satisfy with the need for quantifying vegetation cover parameter front TM imagery for soil loss equation
  • Keywords
    erosion; reservoirs; soil; vegetation mapping; Beijing; China; Dimidiate Pixel Model; Landsat TM images; NDVI thresholds; TM imagery; Upper Basin of Miyun Reservoir; normalized difference vegetation index; remote sensing; soil loss equation; vegetation cover parameter; vegetation fraction estimation; Biological system modeling; Computer aided software engineering; Content addressable storage; Equations; Humans; Remote monitoring; Remote sensing; Reservoirs; Soil measurements; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370101
  • Filename
    1370101