• DocumentCode
    1886404
  • Title

    Estimating spatial distribution of radiation below the Qinghai Spruce forest canopy in Qilian Mountains using hemispherical images and Airborne LiDAR data

  • Author

    Peng, Huanhua ; Zhao, Chuanyan ; Feng, Zhaodong ; Tian, Fengxia ; Xu, Zhonglin

  • Author_Institution
    Key Lab. of Western China´´s Environ. Syst., Lanzhou Univ., Lanzhou, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1954
  • Lastpage
    1957
  • Abstract
    Solar radiation transmission plays is an important process in the energy exchange in forest ecosystem. There are a lot of transmission models developed for a single canopy, but relatively fewer models for studying spatial distribution of radiation below the forest canopy. In this paper, we used a simple model that was related to canopy cover to calculate the solar radiation below the forest canopy. At the same time, the hemispherical photography integrated with airborne LiDAR to provide a data for the model. Especially, LiDAR data was used to obtain the spatial distribution of the canopy cover. We obtained a spatial distribution of solar radiation below the Qinghai Spruce forest canopy in Qilian Mountains. Results showed that modeled average daily total radiation below the canopy was 21.614 MJ/m2d, ranging from 4.618 to 54.053 MJ/m2d in our experimental zone.
  • Keywords
    atmospheric boundary layer; atmospheric radiation; atmospheric techniques; optical radar; remote sensing; sunlight; vegetation; China; Qilian Mountains; Qinghai spruce forest canopy; airborne LiDAR data; canopy cover; energy exchange; forest ecosystem; hemispherical images; hemispherical photography; radiation spatial distribution estimation; solar radiation transmission; Atmospheric modeling; Data mining; Equations; Extinction coefficients; Laser radar; Mathematical model; Solar radiation; LiDAR data; Qilian Mountains; Qinghai Spruce; hemispherical image; solar radiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049509
  • Filename
    6049509