Enhanced land use classification 2013 of the Rur catchment
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Citation
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Identification
Title: | Main Title: Enhanced land use classification 2013 of the Rur catchment |
Description: | Abstract: This data set contains the land use classification of 2013 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N. |
Identifier: | 10.5880/TR32DB.11 (DOI) |
Citation Advice: | Lussem, Ulrike; Waldhoff, Guido (2014): Enhanced land use classification 2013 of the Rur catchment. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.11 |
Responsible Party
Creators: | Ulrike Lussem (Author), Guido Waldhoff (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: | 2014 |
Topic
TR32 Topic: | Land Use |
Related Subproject: | Z1 |
Subjects: | Keywords: Land Use, Agriculture, ATKIS, Remote Sensing |
Geogr. Information Topic: | Geoscientific Information |
File Details
Filename: | TR32_LU13.zip |
Data Type: | Dataset - Dataset |
Sizes: | 1 Datasets 7235 Kilobytes |
File Size: | 7.2 MB |
Date: | Submitted: 21.05.2014 |
Mime Type: | application/zip |
Data Format: | GeoTIFF |
Language: | English |
Status: | Completed |
Archive Content
Constraints
Download Permission: | Free |
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 |
Geographic
Specific Information - Data
Temporal Extent: | 01.01.2013, 00:00:00 - 31.12.2013, 23:59:00 |
Lineage: | The land use classification is derived from supervised, multi temporal remote sensing data analysis using Landsat 8 and ASTER. For the land use analysis datasets of the following acquisition dates were employed: April 25 (Landsat 8), May 19 (ASTER), June 21 (ASTER) July 21 (Landsat 8), September 24 (ASTER). Full coverage of the study area was not available for all acquisition dates and thus the crop classification was partly affected in its depth of information (refer to the error matrix in the additional documentation). To enhance the information content of the land use data product, the Multi-Data Approach (MDA) was applied to combine the remote sensing derived land use information with additional data sets like the Authorative Topographic-Cartographic Information System (ATKIS Basic-DLM, AAA schema) and Physical Block information. The methodology of the MDA is described in more detail in Waldhoff & Bareth (2008) and in Waldhoff et al. (2012). References: Waldhoff, G. & Bareth, G. (2008): GIS- and RS-based land use and land cover analysis: case study Rur-Watershed, Germany. - Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714626 (November 10, 2008); doi:10.1117/12.813171. Waldhoff, G., Curdt, C., Hoffmeister, D. & Bareth, G. (2012): Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping. - ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 177-182, doi:10.5194/isprsannals-I-7-177-2012. |
Subtype: | Natural Science Data |
Metadata Details
Metadata Creator: | Guido Waldhoff |
Metadata Created: | 21.05.2014 |
Metadata Last Updated: | 21.05.2014 |
Subproject: | Z1 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
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Dataset Statistics
Page Visits: | 933 |
Metadata Downloads: | 84 |
Dataset Downloads: | 19 |
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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.