eprintid: 37114
rev_number: 20
eprint_status: archive
userid: 5878
dir: disk0/00/03/71/14
datestamp: 2025-08-07 12:54:00
lastmod: 2025-08-07 13:09:30
status_changed: 2025-08-07 12:54:00
type: bookPart
metadata_visibility: show
creators_name: Siegmann, Bastian
creators_name: Jarmer, Thomas
creators_name: Lilienthal, Holger
creators_name: Selige, Thomas
creators_name: Höfle, Bernhard
creators_name: Richter, Nicole
title: Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration
subjects: ddc-550
divisions: i-120700
pres_type: paper
keywords: hyperspectral, AISA-DUAL, wheat nitrogen concentration, empirical regression models, narrow band vegetation indices
abstract: The precise assessment of canopy nitrogen status is one of the key parameters in agriculture for high accuracy yield estimations. The increasing availability of airborne imaging hyperspectral sensors (e.g. HyMap, HySpex, CASI, AISA) provides the required data to derive canopy nitrogen status for large agricultural areas with a high spatial resolution. In this study the potential of vegetation indices – red edge inflection point, normalized difference red edge index and normalized difference nitrogen index – and empirical regression models – support vector regression, partial least squares regression – have been compared for the prediction of biomass nitrogen concentration of wheat from AISA-DUAL data. For empirical regression models the best result was found for support vector regression (r2cv=0.86, RMSEcv=0.25, RPD=2.52) while the best result for vegetation indices was found for red edge inflection point (r2cv=0.69, RMSEcv=0.35, RPD=1.83). The comparison proves a higher potential of empirical regression models to deliver predictions for biomass nitrogen concentration of wheat. The transfer of the SVR model to the AISA-DUAL data allowed to map the spatial distribution of N concentration with reasonable accuracy and reflected the spatial pattern of N of the investigated fields very well.
date: 2013
publisher: .
id_scheme: DOI
id_number: 10.11588/heidok.00037114
own_urn: urn:nbn:de:bsz:16-heidok-371142
language: eng
bibsort: SIEGMANNBACOMPARISON2013
full_text_status: public
pagerange: 6. S.
event_title: 8th EARSeL SIG Imaging Spectroscopy Workshop
event_location: Nantes, France
event_dates: 8-10 April 2013
book_title: Proceedings of the 8th EARSeL Workshop on Imaging Spectroscopy, Nantes, France
citation:   Siegmann, Bastian ; Jarmer, Thomas ; Lilienthal, Holger ; Selige, Thomas ; Höfle, Bernhard ; Richter, Nicole  (2013) Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration.  [Book Section]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/37114/1/siegmann_et_al_2013_earsel.pdf