Using area-based spectral indices to estimate aerial N uptake of maize
This page lists the DOI metadata that was entered for this dataset. You can download the dataset.
The full metadata can be seen here.
Feature
Citation
Citation Options
Identification
| Title: | Main Title: Using area-based spectral indices to estimate aerial N uptake of maize |
| Description: | Abstract: Timely and accurate qualification of aerial nitrogen uptake is of special significance to precision N management and recommendation for maize. Recent studies have confirmed the feasibility of retrieval of aerial N uptake of crops from spectral indices composed by the reflectance of 2-3 sensitive wavebands. In the present study, experiments involving different N rates in maize were conducted at Quzhou County of the North China Plain in 2009 and 2010. Several hyperspectral indices obtained from representative ratio- and area-based indices reported in the literature were selected to explore their potentials and stability for the estimation of aerial N uptake of maize across different growth stages, cultivars, sites and years. The results showed the optimum triangle vegetation index (OTVI) is most appropriate for aerial N uptake estimation with high correlation coefficients R2 of 0.84. Compared with triangular vegetation index (TVI), modified triangular vegetation index 1 (MTVI1) and modified triangular vegetation index 2 (MTVI2) with fixed bands, OTVI optimized by bands optimum algorithm increased R2 by 42%, 31% and 25%, respectively. The high correlation between the OTVI and aerial N uptake obtained in the different developmental stages of maize indicated that band optimized algorithms can potentially be implemented in future aerial N uptake monitoring by hyperspectral sensing. |
| Identifier: | 10.5880/TR32DB.KGA94.9 (DOI) |
Responsible Party
| Creators: | Fei Li (Author), Yuxin Miao (Author), Xinping Chen (Author) |
| Contributors: | Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2014 |
Topic
| Subjects: | Keywords: Nitrogen, Hyperspectral, Maize, Spectrometer, Vegetation Index DDC: 550 Earth sciences |
File Details
| Filename: | Li_et_al_2013_KGA94.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 7 Pages 1121 Kilobytes |
| File Size: | 1.1 MB |
| Date: | Issued: 14.04.2014 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 17.04.2014 |
| Metadata Last Updated: | 16.02.2021 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 934 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 76 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
