Share Email Print

Proceedings Paper

Deriving winter wheat characteristics from combined radar and hyperspectral data analysis
Author(s): Wolfgang Koppe; Rainer Laudien; Martin L. Gnyp; Liangliang Jia; Fei Li; Xinping Chen; Georg Bareth
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64190R (28 October 2006); doi: 10.1117/12.712944
Show Author Affiliations
Wolfgang Koppe, Univ. of Cologne (Germany)
Rainer Laudien, Univ. of Cologne (Germany)
Martin L. Gnyp, Univ. of Cologne (Germany)
Liangliang Jia, China Agricultural Univ. (China)
Fei Li, China Agricultural Univ. (China)
Xinping Chen, China Agricultural Univ. (China)
Georg Bareth, Univ. of Cologne (Germany)

Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

© SPIE. Terms of Use
Back to Top