Remote sensing green LAI of arable land in the Rur catchment (Germany) on 5 m spatial resolution for seven dates in 2011
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Citation
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Identification
| Title: | 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: | 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. |
| Identifier: | 10.5880/TR32DB.21 (DOI) |
| Related Resources: | References 10.5880/TR32DB.20 (DOI) References 10.5880/TR32DB.22 (DOI) References 10.5880/TR32DB.23 (DOI) References 10.5880/TR32DB.7 (DOI) |
Responsible Party
| Creators: | Tim G. Reichenau (Author), Carsten Montzka (Author), Guido Waldhoff (Author), Wolfgang Korres (Author), Karl Schneider (Author) |
| Contributors: | University of Cologne (Institute of Geography) (Producer), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Producer) |
| Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2016 |
Topic
| TR32 Topic: | Vegetation |
| Related Subprojects: | C3, C6, Z1 |
| Subjects: | Keywords: Agriculture, Crop/s, LAI, Remote Sensing |
| Geogr. Information Topic: | Farming |
File Details
| Filename: | rs5m.zip |
| Data Type: | Dataset - Dataset |
| Size: | 7 Datasets |
| File Size: | 253.5 MB |
| Date: | Available: 03.06.2016 |
| Mime Type: | application/zip |
| Data Format: | ASCII |
| Language: | English |
| Status: | Completed |
Archive Content
Constraints
| 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) |
Geographic
Specific Information - Data
| Temporal Extent: | 22.02.2011, 00:00:00 - 22.10.2011, 23:59:00 |
| Subtype: | Natural Science Data |
Metadata Details
| Metadata Creator: | Tim G. Reichenau |
| Metadata Created: | 03.06.2016 |
| Metadata Last Updated: | 03.06.2016 |
| Subproject: | C3 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 1087 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 17 |
Dataset Activity
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
