17,865 research outputs found

    Estimation of leaf area index from PROBA/CHRIS hyperspectral multi-angular data

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    Leaf Area Index (LAI) is a key structural and functional biophysical variable of the vegetated surfaces which is important in quantifying evapotranspiration rates and the energy exchange of terrestrial vegetation. Remote sensing offers a method of providing estimates of LAI through the analysis of the Bidirectional Reflectance Distribution Function (BRDF), an angular-dependent surface response. High-resolution, multi-angular and hyperspectral image data from PROBA/CHRIS (Project On-Board Autonomy/ Compact High Resolution Imaging Spectrometer) are used to estimate LAI. The retrieval of LAI is accomplished using the 1D turbid-medium canopy reflectance model, SAIL, coupled with the leaf reflectance model, PROSPECT REDUX. Look-up-tables are generated using scene-specific parameters required to invert the physically based model. Two experiments are performed to examine the contribution of multispectral versus hyperspectral reflectances (nadir direction) and single-look versus multi-look hyperspectral reflectances in deriving the LAI. Image data of the calibration/validation site at Chilbolton, Hampshire, UK are used for the inversion. In addition, ground measurements of LAI are compared with the retrieved LAI estimates. Retrieved LAI estimates using various spectral and directional sampling suggest that the spectro-directional reflectances from CHRIS provides more accurate results than their lower-resolution counterparts such as single-look and multispectral reflectances

    Ms. Courtney Chartier, RWWL AUC, August 2011

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    This video is a conversation with Ms. Courtney Chartier. Ms. Chartier talks about her work on the "New Georgia Encyclopedia" and "Online Voter Education Project." Andrea Jackson, AUC Woodruff Library, is the interviewer

    Ms. Neely Terrell, RWWL AUC, March 2012

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    This video is a conversation with Ms. Neely Terrell. Ms. Terrell talks about her book, "Super Singles Activate". Anthony Kinsey and Jahnesta Horney, AUC Woodruff Library, are the interviewers

    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 837

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    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 83

    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 837

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    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 83

    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 837

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    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 83

    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 837

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    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 83

    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 837

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    Le lai d'Aristote - Henri de Valenciennes - Édité d'après le ms. BnF fr. 83
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