[322] - Digital Elevation Model 1m single tiles (Section 1), based on data from Bezirksregierung Köln

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

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
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.
VERY IMPORTANT!
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Features
Citation
scilands GmbH, 2012. Digital Elevation Model 1m single tiles (Section 1), based on data from Bezirksregierung Köln, Göttingen, Germany. CRC/TR32 Database (TR32DB). Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=322 at 2020-03-29.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Identification
Title(s):Main Title: Digital Elevation Model 1m single tiles (Section 1), based on data from Bezirksregierung Köln
Description(s):Abstract: Digital Elevation Model (DEM) of German parts of Rur-catchment. For certain analyses or algorithms that intend to map surface processes it is imperative to model in a high resolution. The measuring point density of the original date of the Rur chatchment justifies the generation of a DGM with 1 m spatial resolution. The density of measurement points located between 0.3 measurements/m² and 1.7 measurements/m². First of all, data gaps were closed by using the SAGA-module 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, sunken roads or railways, dikes, open cast mining areas etc. are important. When classifying certain relief areas a DGM without anthropogenic landforms is needed. Therefore two datasets have been created. 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 and the Lee-filter were used again to fill in the missing values. Finally, all datasets were combined whilst trying to produce a fluent passage from one dataset to the other.
Responsible Party
Creator-Institution(s):Owner: scilands GmbH
Creator(s)-Person:Point Of Contact: Guido Waldhoff
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Topography
Related Sub-project(s):Z1
Subject(s):CRC/TR32 Keywords: Catchment
GEMET: model, raster
Topic Category:Elevation
File Details
File Name:DEM_Sciland_1m_single_tiles_section_1.zip
Data Type:Image
Size(s):1 Datasets
Date(s):Created: 2008-01-01
Issued: 2012-01-01
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:51.4739716
East:7.3891278
South:50.0847584
West:5.1918622
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Geodata
Lineage:Complete
Spatial Resolution:Distance: 1m
Spatial Representation:grid
Presentation Form:mapDigital
Reference System:DHDN / 3-degree Gauss-Kruger zone 2 (EPSG: 31466)
Scope:Dataset
Initiative Type:collection
Metadata Details
Metadata Creator:Guido Waldhoff
Metadata Created:2012-09-04
Metadata Last Updated:2012-09-04
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V30
Dataset Metrics
Page Visits:229
Metadata Downloads:1
Dataset Downloads:1
Dataset Activity
Features