0000000000037985

AUTHOR

Rebecca Retzlaff

0000-0001-7484-2655

showing 1 related works from this author

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.

2021

Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid methods for crop trait retrieval have been developed. However, spectra collected from UAVs can be confounded by various issues, including illumination variation throughout the crop growing season, the effect of which on the retrieval performance is not well understood at present. In this study, four retrieval methods are compared, in terms of retrieving the leaf area index (LAI), fractional vegetation cover (fCover), and canopy chlorophyll content (CCC) of potato plants over an agricultural field for six dates duri…

Canopystatistical method010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesGrowing season02 engineering and technologyLUT-based inversion; hybrid method; statistical method; leaf area index; fractional vegetation cover; canopy chlorophyll content01 natural sciencesLUT-based inversionhybrid methodLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingfractional vegetation coverleaf area indexQHyperspectral imagingcanopy chlorophyll contentStatistical modelRandom forestVNIRGeneral Earth and Planetary SciencesScale (map)Remote sensing
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