Now showing items 1-7 of 7

    • Atmospheric Correction of Landsat ETM+ Land Surface Imagery: II. Validation and Applications 

      Liang, Shunlin; Morisette, Jeffrey T.; Fang, Hongliang; Chen, Mingzhen; Shuey, Chad J.; Daughtry, Craig S. T.; Walthall, Charles L. (Institute of Electrical and Electronics Engineers, 2002)
      This is the second paper of the series on atmospheric correction of ETM+ land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. ...
    • Atmospheric Correction of Landsat ETM+ Land Surface Imagery—Part I: Methods 

      Liang, Shunlin; Fang, Hongliang; Chen, Mingzhen (Institute of Electrical and Electronics Engineers, 2001-11)
      To extract quantitative information from the Enhanced Thematic Mapper-Plus (ETM+) imagery accurately, atmospheric correction is a necessary step. After reviewing historical development of atmospheric correction of Landsat ...
    • Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data 

      Liang, Shunlin; Fang, Hongliang; Kaul, Monisha; Van Niel, Tom G.; McVicar, Tim R.; Pearlman, Jay S.; Huemmrich, Karl Fred; Walthall, Charles L.; Daughtry, Craig S. T. (Institute of Electrical and Electronics Engineers, 2003-06)
      The Advanced Land Imager (ALI) is a multispectral sensor onboard the National Aeronautics and Space Administration Earth Observing 1 (EO-1) satellite. It has similar spatial resolution to Landsat-7 Enhanced Thematic ...
    • Estimation of incident Photosynthetically Active Radiation from MODIS Data 

      Liang, Shunlin; Zheng, Tao; Liu, Ronggao; Fang, Hongliang; Tsay, Si-Chee; Running, Steven (American Geophysical Union, 2006-08-08)
      Incident photosynthetically active radiation (PAR) is a key variable needed by almost all terrestrial ecosystem models. Unfortunately, the current incident PAR products estimated from remotely sensed data at spatial and ...
    • An Improved Atmospheric Correction Algorithm for Hyperspectral Remotely Sensed Imagery 

      Liang, Shunlin; Fang, Hongliang (Institute of Electrical and Electronics Engineers, 2004-04)
      There is an increased trend toward quantitative estimation of land surface variables from hyperspectral remote sensing. One challenging issue is retrieving surface reflectance spectra from observed radiance through ...
    • Improving the Estimation of Leaf Area Index from Multispectral Remotely Sensed Data 

      Fang, Hongliang (2003-10-27)
      Leaf Area Index (LAI) is an important structural property of surface vegetation. Many algorithms use LAI in regional and global biogeochemical, ecological, and meteorological applications. This dissertation reports several ...
    • Retrieving Leaf Area Index With a Neural Network Method: Simulation and Validation 

      Liang, Shunlin; Fang, Hongliang (Institute of Electrical and Electronics Engineers, 2003-09)
      Leaf area index () is a crucial biophysical parameter that is indispensable for many biophysical and climatic models. A neural network algorithm in conjunction with extensive canopy and atmospheric radiative transfer ...