Remote sensing data assimilation for regional crop growth modelling in the region of Bonn (Germany)

被引：2
|
作者：
Heinzel, V. [1 ]
Waske, B. [1 ]
Braun, M. [1 ]
Menz, G. [1 ]
机构：
[1] Univ Bonn, Ctr Remote Sensing Land Surface ZFL, D-5300 Bonn, Germany
来源：
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年
关键词：
crop growth modelling; CERES-Wheat; biophysical parameters; SAR; optical data; data assimilation;
D O I：
10.1109/IGARSS.2007.4423636
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The study investigates the possibilities to improve the performance of CERES-Wheat crop growth model by assimilating information derived by optical and SAR earth observation data. Biophysical parameter retrieval was done with the Water Cloud model for SAR data and the CLAIR model was applied to multispectral imagery. The CERES-Wheat model was calibrated using ground truth information. The re-initialization method with an adjustable planting date was selected as assimilation strategy. Modelling results generally improved by using all different kind of remote sensing data. However, best results were achieved by using information of the optical sensors only and not by a synergetic time series of all available data.
引用
收藏
页码：3647 / 3650
页数：4
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