Calibration and evaluation of a crop model using remote sensing data

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Title:Main Title: Calibration and evaluation of a crop model using remote sensing data
Description:Abstract: Heterogeneity in crop growth is a widespread phenomenon often caused by contrasting soil properties which are difficult to measure and model spatially consistent not least due to limited data availability. Measurements of apparent electromagnetic conductivity (ECa) derived by electromagnetic induction (EMI) measurements have been proposed to obtain spatially consistent information about soil heterogeneity but have rarely been correlated with plant measurements. Little work has also been done to evaluate crop models with respect to their ability to reproduce field heterogeneity of crop growth. The aim of this study is to compare the EMI method with biomass measurements, especially the green leaf area index (GLAI), and to evaluate a crop model for its ability to reproduce the spatial variability of GLAI of two crops in two different years. Emphasis is on GLAI since this a crucial parameter affecting crop growth and yield.
Responsible Party
Creator:Anja Stadler (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2013
Topic
TR32 Topic:Vegetation
Related Subproject:B5
Subject:Keyword: PhD Report
File Details
Filename:Report2_Stadler_2012.pdf
Data Type:Text - Text
File Size:269 KB
Date:Available: 04.09.2012
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Report
Report Date:4th of September, 2011
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Institute of Crop Science and Resource Conservation, INRES, University Bonn
Number of Pages:6 (1 - 6)
Further Information:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Anja Stadler
Metadata Created:28.11.2013
Metadata Last Updated:28.11.2013
Subproject:B5
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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