TR32-Database: Database of Transregio 32

[77] - Digital Elevation Model 10 with anthropogenic landforms

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
scilands GmbH, 2010. Digital Elevation Model 10 with anthropogenic landforms, Göttingen, Germany. CRC/TR32 Database (TR32DB). Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=77 at 2017-09-24.
Identification
Title(s):Main Title: Digital Elevation Model 10 with anthropogenic landforms
Description(s):Abstract: The DEM10 provides elevation information in raster format with a spatial resolution of 10m. It was combined from different sources by the scilands GmbH: the DGM 5L (1-5 m grid size) provided by the GEObasis.nrw Bezirksregierung Köln, Germany, the AHN5 (Actueel Hoogtebestand Nederland) Netherlands (5m grid size) and the DTM-1:10.000 Belgium (20m grid size). The scilands GmbH produced the digital elevation model of the Rur catchment using datasets from the sources mentioned above. First of all, data gaps were closed by using the SAGA-module "Close Gaps" and noise was removed by using a modified, variable Lee-filter. Removing the noise also unveiled hidden geomorphological information. For the analysis of current geomorphological processes anthropogenic landforms like embankments, sunk roads or railways, dikes, open cast mining areas etc. are important. When classifying certain relief areas a DEM without anthropogenic landforms is needed. Therefore two datasets have been created. In order to reduce the amount of data and the amount of detail, a generalization into a 10 m grid size was carried out. A resampling method developed by the scilands GmbH using local minima and maxima preserved the anthropogenic features which could then be detected and removed. Therefore, a filter (SAGA-module) was improved and enabled to identify nearly all artificial dikes in the landscape. A manual correction took place afterwards. Finally, the SAGA-module "Close Gaps" and the Lee-filter were used again to fill in the missing values. When including the data from the Netherlands and Belgium, which is partly overlapping the German DEM10, the same steps as above were performed. For the data from the Netherlands, data gaps were closed e.g. on water surfaces, the coordinate system was changed from "Amersfoort RD new" into Gauß-Krüger-coordinates (which resulted in an inaccuracy of up to 10 m), resampling to a 10 m grid size, and elimination of anthropogenic landforms were carried out. In the DTM-1:10.000 of Belgium the triangular structure of the TIN was removed, the coordinate system was changed from "Belgian Lambert 2008" into Gauß-Krüger-coordinates and resampling to a 10 m grid size took place. Finally, all datasets were combined whilst trying to produce a fluent passage from one dataset to the other.
Responsible Party
Creator-Organization(s):Owner: scilands GmbH
Creator(s)-Person:Point Of Contact: Guido Waldhoff
Contributor(s):Producer: Guido Waldhoff
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Topography
Subject(s):CRC/TR32 Keywords: Elevation
GEMET: model, landform, raster
Topic Category:Elevation
File Details
File Name:DEM10_TR32_WITH_anthropo_RF.zip
Data Type:Image
Date(s):Created: 2010-01-01
Mime Type:application/zip
Data Format:TIFF
Language:German
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:Access and use only for CRC/TR32 members.
Access Limitations:Access and use only for CRC/TR32 members.
Licence:TR32DB Data policy agreement
Geographic
North:51.47397
East:7.38913
South:50.08476
West:5.19186
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Geodata
Lineage:completed
Spatial Resolution:, Distance: 10m
Spatial Representation:grid
Presentation Form:mapDigital
Reference System:WGS 84 / UTM zone 32N (EPSG: 32632)
Maintenance Information:Frequency: unknown
Scope:Dataset
Initiative Type:collection
Metadata Details
Metadata Creator:Dirk Hoffmeister
Metadata Created:2010-02-26
Metadata Last Updated:2010-02-26
Subproject:Z1
Funding Phase:1
Metadata Language:English
Metadata Version:V31
Dataset Metrics
Page Visits:196
Metadata Downloads:11
Dataset Downloads:26
Dataset Activity
Features