Through the correction, the effect of background admixture for vegetation indices was reduced, and the estimation of biophysical variables was improved.
Through the correction, the effect of background admixture for vegetation indices was reduced, and the estimation of biophysical variables was improved.
To strengthen the vegetation analysis, four spectral indices, NDVI, GNDVI, NDRE, and SIPI, were selected and calculated from the UAV visible, red edge, and NIR ...
Reducing background effects in orchards through spectral vegetation index correction ... Leveraging in-scene spectra for vegetation species discrimination with ...
Oct 22, 2024 · Overall, the proposed vegetation index correction method reduced the background influence irrespective of background type, making useful ...
Overall, the proposed vegetation index correction method reduced the background influence irrespective of background type, making useful comparison between ...
Reducing background effects in orchards through spectral vegetation index correction. Jonathan Van Beek Laurent Tits Ben Somers Tom Deckers Pieter Janssens ...
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Reducing background effects in orchards through spectral vegetation index correction. J Van Beek, L Tits, B Somers, T Deckers, P Janssens, P Coppin.
Reducing background effects in orchards through spectral vegetation index correction. International Journal of Applied Earth Observation and Geoinformation ...
Several researchers have shown that Landsat spectral data relate closely with such vegetation density indi- cators as biomass, leaf area index, percent cover, ...
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