TR32-Database: Database of Transregio 32

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

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

Features
Citation
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.
Identification
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
Publisher:-
Topic
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
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:51.5915435
East:7.4236328
South:50.2058789
West:5.2263672
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2009
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
Subproject:Z1
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:205
Metadata Downloads:0
Dataset Downloads:11
Dataset Activity
Features