Spectral and 3D Nonspectral Approaches to Crop Trait Estimation Using Ground and UAV Sensing

Authored by: Helge Aasen , Georg Bareth

Biophysical and Biochemical Characterization and Plant Species Studies

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138364714
eBook ISBN: 9780429431180
Adobe ISBN:

10.1201/9780429431180-4

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Abstract

Spectral remote sensing allows estimation of important biochemical and biophysical crop traits such as chlorophyll and nitrogen content, leaf area, and biomass. At the same time it also has limitations, for example, due to challenges that arise from nonconstant illumination conditions or saturation effects at high leaf area index. Motivated by findings that showed that plant height is also a good predictor for crop biomass, Three-dimensional (3D) data has gained attention for crop trait extraction in recent years. This chapter gives an overview of the approach for extracting crop traits from 3D data as well as from combined 3D and spectral sensing.

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