TY - GEN
T1 - Hyperspactral data analysis of nitrogen fertilization effects on winter wheat using spectrometer in North China Plain
AU - Gnyp, Martin L.
AU - Fei, Li
AU - Miao, Yuxin
AU - Koppe, Wolfgang
AU - Jia, Liangliang
AU - Chen, Xinping
AU - Zhang, Fusuo
AU - Bareth, Georg
PY - 2009/12/22
Y1 - 2009/12/22
N2 - 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.
AB - 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.
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U2 - 10.1109/WHISPERS.2009.5289007
DO - 10.1109/WHISPERS.2009.5289007
M3 - Conference contribution
AN - SCOPUS:72149124826
SN - 9781424446872
T3 - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
BT - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing
T2 - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
Y2 - 26 August 2009 through 28 August 2009
ER -