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Title:   Author  item
                                            Walthall, Charlesitem
                                            Daughtry, Craigitem
                                            LOECHEL, SARA - UNIVERSITY OF MARYLANDitem
                                            Dulaney, Wayneitem
                                            Timlin, Dennis
  Submitted to: IEEE IGARSS Annual Proceedings
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 7/1/2000
                                    Publication  Date: 7/24/2000
                                    Citation: N/AInterpretive Summary: Our understanding of the mechanisms of reflectance as measured by remote sensing devices is formalized through plant reflectance simulation models. An assumption of these models is that the input factors, such as foliage density, leaf reflectance, leaf transmittance, and canopy height, are independent.  These assumptions are tested using data taken from a 6 ha  corn field in Beltsville, MD.  Relationships between leaf reflectance and transmittance were evident, however, not 1:1.  Foliage density expressed as leaf area index (LAI) was found to be slightly correlated with leaf reflectance and transmittance.  LAI was also found to be slightly correlated with canopy height.  By using these trends to better define possible factor combinations, improvements in simulations should be possible.  This information will be of use to anyone using plant canopy reflectance simulation models to retrieve information from remote sensing  data, such as large area crop yield analysts.
                                Technical Abstract: Optimization of remote sensing procedures for agriculture will require more information about the factors affecting crop reflectance.  For canopy reflectance simulation purposes, factors such as foliage density, leaf reflectance, leaf transmittance, and height, are considered independent and have not been measured extensively over areas larger than small plots.  This study addressed this assumption seeking to determine correlations between the factors for a 6 ha corn field in Beltsville, MD. Relationships between leaf reflectance and transmittance were evident, however, not 1:1.  Foliage density expressed as leaf area index (LAI) was found to be slightly correlated with leaf reflectance and transmittance. LAI was also found to be slightly correlated with canopy height.  This information will be of use to analysts using inversion of canopy reflectance simulation models to retrieve LAI as part of crop yield  inventory surveys and to researchers using simulations models.


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