Data Description of DOI 10.5880/TR32DB.22

All available information about this DOI are listed below. To view all metadata details, please use the corresponding button.

Citation:Reichenau, Tim G.; Montzka, Carsten; Wilken, Florian; Korres, Wolfgang; Schneider, Karl (2016): Mean values and standard deviations of green LAI of agricultural fields in the Rur catchment (Germany) from remote sensing for seven dates in 2011. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.22
Title(s):Main Title: Mean values and standard deviations of green LAI of agricultural fields in the Rur catchment (Germany) from remote sensing for seven dates in 2011
Description(s):Abstract: Field mean 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 the dataset in the article: rsfm. The table contains data on mean values and standard deviations of LAI for 24712 agricultural fields in the fertile loess plain of the Rur catchment. The data is based on LAI data generated from RapidEye remote sensing data (5 m resolution) using the method shown in Reichenau at al. (2016) based on Hasan et al. (2014). Fields were defined as continuous areas with uniform land use. Pixels with potential heterogeneous vegetation were excluded from the evaluation. For this means, pixels from a 15 m resolution land use dataset (Lussem and Waldhoff, 2014), that are not surrounded by the same land use type were marked as potentially mixed. Corresponding pixels from the LAI dataset were removed prior to the calculation of the mean values and standard deviations. Data is given for seven dates in 2011 where cloud-free scenes were recorded for (almost) the entirety of the Rur-catchment. Since the remote sensing scenes do not always cover the entirety of each field, the area of each field is given separately for each date. RapidEye data were provided by the RapidEye Science Archive (RESA).
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.21
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

TR32DB Metadata:

view metadata
download data