Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data

By Bastian Siegmann, Thomas Jarmer. 2015

91 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/a9449adbedc8d14cce63acd9f3771aab7a3481d4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Daniel A. Friess
2. D. Tien Bui
3. Naoto Yokoya

In Environmental Engineering

1. D. Tien Bui

Citations in the corpus

• Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019, background): “A wide range of studies have been conducted using different remote sensing approaches to estimate the biophysical parameters of mangroves, which can be grouped into two main categories: radiative transfer models and empirical–statistical regression models [85].”
• Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture (2020, methodology): “Siegmann, B.;  Jarmer, T. Comparison of different  regression models  and validation  techniques  for  the  assessment of wheat leaf area index from hyperspectral data.”