Deriving winter wheat characteristics from combined radar and hyperspectral data analysis

Wolfgang Koppe; Rainer Laudien; Martin L. Gnyp; Liangliang Jia; Fei Li; Xinping Chen; Georg Bareth

doi:10.1117/12.712944

28 October 2006 Deriving winter wheat characteristics from combined radar and hyperspectral data analysis

Wolfgang Koppe, Rainer Laudien, Martin L. Gnyp, Liangliang Jia, Fei Li, Xinping Chen, Georg Bareth

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64190R (2006) https://doi.org/10.1117/12.712944
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

The main objective of this study is to derive plant nitrogen (N) status and aboveground biomass via satellite remote sensing. To understand canopy spectral reflectance, the focus of the first part was set on the analysis of spectral signatures of winter wheat during its vegetation period under different N treatments. Spectral reflectance at different phenological stages, measured by a spectroradiometer (ASD HandHeld), is related to agronomy parameters like plant N, aboveground biomass and leaf area index (LAI). For this purpose, an extensive field survey was carried out in Huimin County in the North China Plain. For detection of plant N status of winter wheat and biomass on regional scale, hyperspectral (EO-1 Hyperion) and radar (Envisat ASAR) remote sensing data were obtained. First results of preprocessing of remote sensing data are presented in this contribution.

Citation Download Citation

Wolfgang Koppe, Rainer Laudien, Martin L. Gnyp, Liangliang Jia, Fei Li, Xinping Chen, and Georg Bareth "Deriving winter wheat characteristics from combined radar and hyperspectral data analysis", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64190R (28 October 2006); https://doi.org/10.1117/12.712944

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KEYWORDS

Reflectivity

Vegetation

Nitrogen

Remote sensing

Radar

Sensors

Near infrared

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