• DocumentCode
    411115
  • Title

    The carbon flux estimation of China terrestrial ecosystems based on NOAA/AVHRR data

  • Author

    Junbang, Wang ; Zheng, Niu ; Bingmin, Hu ; Changyao, Wang ; Yanchun, Gao ; Chunyan, Yan

  • Volume
    5
  • fYear
    2003
  • fDate
    2003
  • Firstpage
    3225
  • Abstract
    Net ecosystem productive (NEP) is defined as the net carbon dioxide flux to or from an ecosystem without natural or human disturbance, and integrates all ecosystems carbon sources and sinks: NEE=GPP-Ra-Rh. Here NPP was calculated with the light use efficiency model based on NOAA/AVHRR, and the soil respiration of the corresponding ecosystem came from references. On the whole, the NEP shows the terrestrial ecosystem in China is a carbon sink though there are great uncertainties. The geographic gradient of the NEP clearly shows more correlation with temperature on latitude gradient, and with precipitation on longitude. Three main sources of uncertainties were analyzed: (1) land cover classification based on remote sensing; (2) NPP modelling; (3) soil respiration modelling. The observation and modelling integrated with remote sensing will be a very important solution to the carbon source/sink at large spatial sale.
  • Keywords
    Earth rotation; atmospheric precipitation; carbon; carbon compounds; radiometry; soil; terrain mapping; CO2; China terrestrial ecosystems; NEP; NOAA/AVHRR data; NPP modelling; advanced very high resolution radiometry; carbon flux estimation; carbon source/sink; ecosystems carbon sources; geographic gradient; human disturbance; land cover classification; latitude gradient; national oceanic atmospheric administration; net carbon dioxide flux; net ecosystem productive; precipitation; remote sensing; soil respiration; temperature gradient; terrestrial ecosystem; Agriculture; Carbon dioxide; Ecosystems; Educational institutions; Environmental factors; Remote sensing; Soil; Temperature sensors; Uncertainty; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294737
  • Filename
    1294737