Data Description of DOI 10.5880/TR32DB.21

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Citation:Reichenau, Tim G.; Montzka, Carsten; Waldhoff, Guido; Korres, Wolfgang; Schneider, Karl (2016): Remote sensing green LAI of arable land in the Rur catchment (Germany) on 5 m spatial resolution for seven dates in 2011. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.21
Title(s):Main Title: Remote sensing green LAI of arable land in the Rur catchment (Germany) on 5 m spatial resolution for seven dates in 2011
Description(s):Abstract: LAI from remote sensing 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 th dataset in the article: rs5m. The dataset contains LAI for the arable area of the northern part of the Rur catchment (Juelicher Boerde). The data (5 m resolution) was generated from RapidEye remote sensing data using a method described by Hasan et al. (2014) as shown in Reichenau at al. (2016). Pixels with potentially heterogeneous vegetation, were excluded from the evaluation. For this means, pixels from a 15 m resolution land use dataset (Lussem and Waldhoff, 2014), which are not surrounded by the same land use type were marked as potentially mixed. Corresponding pixels from the LAI dataset were removed. RapidEye data were provided by the RapidEye Science Archive (RESA). The zip-file contains separate files for seven dates in 2011 where cloud-free scenes were recorded for (almost) the entirety of the Rur-catchment. Each file is accompanied by a landuse file. For additional information including filenames etc. read the included README file. Spatial resolution: 5 m; Projection: WGS84, UTM Zone 32N.
Contributor(s):Producer: University of Cologne, Institute of Geography
Producer: Transregional Collaborative Research Centre 32, Meteorological Institute, University of Bonn
Funding(s):Deutsche Forschungsgemeinschaft/Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation, CRC/TRR 32
Subject(s):CRC/TR32 Keywords: Agriculture, Crop/s, LAI, Remote Sensing
ISO Topic Category: Farming
Date(s):Available: 2016-06-03
Related Identifier(s):References: DOI: 10.5880/TR32DB.20
References: DOI: 10.5880/TR32DB.22
References: DOI: 10.5880/TR32DB.23
References: DOI: 10.5880/TR32DB.7
Resource Type:Dataset
Size(s):7 Datasets
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Measurement Region:RurCatchment
Measurement Location:Juelicher Boerde
Contact:Tim G. Reichenau

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