[1470] - Green LAI of arable land in the Rur catchment (Germany) from simulation on 150 m spatial resolution for the year 2011

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Reichenau, T. G., Korres, W., Schneider, K., 2016. Green LAI of arable land in the Rur catchment (Germany) from simulation on 150 m spatial resolution for the year 2011. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.23.
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Title(s):Main Title: Green LAI of arable land in the Rur catchment (Germany) from simulation on 150 m spatial resolution for the year 2011
Description(s):Abstract: LAI from simulation used in Reichenau et. al (2016), "Spatial Heterogeneity of Leaf Area Index (LAI) and its Temporal Course on Arable Land: Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis Approach (CDAA)". Name of the dataset in the article: sim. The dataset contains LAI for the main crops (maize, sugar beet, winter wheat) in the arable area of the fertile loess plain in the northern part of the Rur catchment. The data (150 m resolution) was simulated using the DANUBIA simulation system (Barth et al., 2004; Barthel et al., 2012) as described in Reichenau at al. (2016). Data is given in separate files for each day in 2011. The dataset is accompanied by a landuse file. The landuse data on 150 m resolution was generated by assigning the most frequent landuse type from the 15 m resolution landuse map (Lussem and Waldhoff, 2014, DOI 10.5880/TR32DB.7) to each 150 m pixel. Spatial resolution: 150 m; Projection: WGS84, UTM Zone 32N.
Identifier(s):DOI: 10.5880/TR32DB.23
Relation(s):References: DOI: 10.5880/TR32DB.20
References: DOI: 10.5880/TR32DB.22
References: DOI: 10.5880/TR32DB.21
References: DOI: 10.1080/01969720490499425
References: DOI: 10.1007/s11269-012-0001-9
References: DOI: 10.5880/TR32DB.7
Is Referenced By: DOI: 10.1371/journal.pone.0158451
Responsible Party
Creator(s):Author: Tim G. Reichenau
Principal Investigator: Wolfgang Korres
Principal Investigator: Karl Schneider
Contributor(s):Producer: University of Cologne, Institute of Geography
Producer: Transregional Collaborative Research Centre 32, Meteorological Institute, University of Bonn
Funding Reference(s):Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Vegetation
Related Sub-project(s):C3
Subject(s):CRC/TR32 Keywords: Agriculture, Crop/s, LAI, Winter Wheat, Sugar Beet, Maize, DANUBIA Simulation System
Topic Category:Farming
File Details
File Name:sim.zip
Data Type:Dataset
Size(s):323 Datasets
File Size:13623 kB (13.304 MB)
Date(s):Available: 2016-06-03
Mime Type:application/zip
Data Format:ASCII
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Download Permission:Free
Download Information:Download of the data underlies [Creative Commons] - Attribution 4.0 International (CC BY 4.0). Any other information is not valid and can be ignored.
General Access and Use Conditions:According to CC BY 4.0
Access Limitations:According to CC BY 4.0
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Measurement Region:RurCatchment
Measurement Location:Juelicher Boerde
Specific Informations - Data
Temporal Extent:2011/01/01 - 2011/12/19
1. Instrument:ecohydrological model [DANUBIA]
Metadata Details
Metadata Creator:Tim G. Reichenau
Metadata Created:2016-06-03
Metadata Last Updated:2016-06-07
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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