[763] - GIS- and RS-based land use and land cover analysis - case study Rur-Watershed, Germany

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.
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!
Waldhoff, G., Bareth, G., 2009. GIS- and RS-based land use and land cover analysis - case study Rur-Watershed, Germany. In: Lin, L., Xia, L., Kai, L. and Xinchang, Z. (Eds.): SPIE. Proc. of Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, June 28 - 29, 2008, Guangzhou, China, 1 - 6. DOI: 10.1117/12.813171.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: GIS- and RS-based land use and land cover analysis - case study Rur-Watershed, Germany
Description(s):Abstract: For numerous spatial applications, land use data are of central importance and have to be available in a spatial data infrastructure for regional modeling. This also counts for the research project TR32 which focuses on SVA modeling in a regional context. The land use data should be organized in a land use information system according to international data standards providing general metadata including information about data quality. Usually, land use data are available from official sources, but they lack the desired information detail for many purposes. For example, in official land use maps, agricultural land use is generally differentiated between arable land, grassland, orchards and some special land use classes like paddy fields. For detailed (agro-)ecosystem modeling, this information resolution is rather poor. Here, disaggregated land use data which provide information about the major crops and crop rotations as well as management data like date of sowing, fertilization, irrigation, harvest etc. are needed. The analysis of multispectral, hyperspectral and/or radar data from satellite or airborne sensors is a standard method to retrieve such kind of information with remote sensing methodologies. By using a Multi-Data Approach (MDA), the retrieved information from remote sensing analysis is integrated into official land use data by GIS technologies to enhance both the information level (e. g. crop rotations) of existing land use data and the quality of the land use classification.
Identifier(s):DOI: 10.1117/12.813171
Responsible Party
Creator(s):Author: Guido Waldhoff
Author: Georg Bareth
TR32 Topic:Land Use
Subject(s):CRC/TR32 Keywords: Remote Sensing, GIS, Land Cover Mapping, Land Use
File Details
File Name:2009_Waldhoff_SPIE.pdf
Data Type:Text
Size(s):6 Pages
File Size:316 kB (0.309 MB)
Date(s):Issued: 2008-06-28
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Type:Event Paper
Proceedings Title:SPIE
Proceedings Editor:Lin, L., Xia, L., Kai, L. and Xinchang, Z.
Number Of Pages:6
Page Range:1 - 6
Event Name:Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Event Type:Conference
Event Location:Guangzhou, China
Event Period:28th of June, 2008 - 29th of June, 2008
Metadata Details
Metadata Creator:Guido Waldhoff
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:418
Metadata Downloads:0
Dataset Downloads:11
Dataset Activity