Abstract
This article presents results from hyperspectral analysis for winter wheat (Tricitum Aestivum L.) in the North China Plain during a research study in 2006. In the first part the focus was set on canopy spectral reflectance during the vegetation period under different N supplies. Four different experiments with variable N-inputs and winter wheat cultivars were set up in the study area of Huimin County, Shandong Province. Spectral reflectance data and agronomic data like biomass, plant height, N-uptake and LAI were collected at different phenological stages. In the second part of the study a spectral and agronomic library was set up. For this purpose, spectral reflectance was related to agronomic parameters. The results indicated significant difference in spectra characteristics, cultivars and N-inputs. Vegetation indices like NDVI, HNDVI, RVI, HVI, OSAVI and MCARI2 had the best performance in estimating agronomic parameters among the vegetation indices evaluated.
| Original language | English (US) |
|---|---|
| Title of host publication | WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing |
| Subtitle of host publication | Evolution in Remote Sensing |
| DOIs | |
| State | Published - Dec 22 2009 |
| Event | WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - Grenoble, France Duration: Aug 26 2009 → Aug 28 2009 |
Publication series
| Name | WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing |
|---|
Other
| Other | WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing |
|---|---|
| Country/Territory | France |
| City | Grenoble |
| Period | 8/26/09 → 8/28/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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