106 documents found in 162ms
# 1
Waldhoff, Guido
Abstract: This data set contains the land use classification of 2009 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which is 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, covering an area of approximately 2365 square kilometres. The land use classification is derived from a supervised, multi temporal remote sensing data analysis using "Advanced Spaceborne Thermal Emission and Reflection Radiometer" (ASTER) and RapidEye data. ASTER is a multispectral satellite sensor, which has three bands in the visible and near infrared (VNIR) with 15 m spatial resolution, six bands in the shortwave infrared (SWIR) with 30 m, and five bands in the thermal infrared (TIR) with 90 m. For the land use classification the VNIR data acquired on July 27, 2009 were used. Each sensor of the RapidEye earth observation satellite system has five multispectral bands in the visible to near infrared wavelength region with a spatial resolution of 6.5 m. The incorporated data set was acquired on May 24, 2009. To enhance the information content of the land use data the Multi-Data Approach was used to combine the remote sensing data with additional data sets like the "Authorative Topographic-Cartographic Information System" (ATKIS Basic-DLM). The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 2
Seibert, Simon • Auerswald, Karl • Fiener, Peter • Disse, Markus • Martin, Walter • (et. al.)
Abstract: A data base of rainfall simulations was compiled comprising the experimental work of Martin (1988), Haider (1994), Gerlinger (1997), Schröder and Auerswald (2000) and Michael (2001). The data base covers 726 rainfall simulations (24384 runoff measurements) which were carried out on 209 arable plots in Germany under a wide range of different conditions. The data base is freely available and may be used as an extensive source to examine specific questions. Fiener et al. (submitted) provide detailed information on the origin of the individual data sets, their compilation, the range of the data base and on the quality of the included data. The added supplement provides meta data on the structure of the relational data base, on its identifiers SEQ, RUN and SOIL, on the coding of missing and flagged data as well as a brief introduction of the available files and variables.
# 3
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2008 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using "Advanced Spaceborne Thermal Emission and Reflection Radiometer" (ASTER), Resourcesat-1 (IRS-P6), Landsat 5 TM (L5) and Landsat 7 ETM+ (L7). For the land use analysis datasets of the following acquisition dates were used: ASTER (VNIR): May 05, 2008; IRS-P6 (LISS III): June 10, 2008; L7: July 15, 2008; L5: September 09, 2008. The incorporated sensors have different spatial resolutions of 15 m (ASTER, VNIR), 23.5 m (IRS-P6) and 30 m (Landsat TM & ETM+). For the land use analysis all datasets were resampled to 15 m spatial resolution. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product the Multi-Data Approach (MDA) was used 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 classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 4
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2009 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using "Advanced Spaceborne Thermal Emission and Reflection Radiometer" (ASTER) and RapidEye. For the land use analysis datasets and of the following acquisition dates were used from RapidEye: May 24, June 01, August 15/16, August 31 and September 08. From ASTER a dataset of July 27 was incorporated. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product the Multi-Data Approach (MDA) was used 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 classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 5
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2010 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using RapidEye and Landsat 5 TM. For the land use analysis datasets of the following acquisition dates were used from RapidEye: May 23, May 20, July 07, July 08 and July 10. From Landsat 5 a dataset of August 14 was incorporated. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product, the Multi-Data Approach (MDA) was used 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 classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 6
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the preliminary land use classification of 2011 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.
# 7
Reichenau, Tim G. • Korres, Wolfgang
Abstract: LAI was modelled for arable land in the northern part of the Rur catchment (fertile loess plain) for the year 2009. Modelled crops are Winter Wheat, Sugar Beet, Maize, and Winter Barley. Data was modelled using the dynamically coupled process-oriented ecohydrological models from the DANUBIA simulation system using the configuration described by Korres at al. (2013, doi:10.1016/j.jhydrol.2013.05.050). This paper does also provide model validation data for LAI.
# 8
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the preliminary land use classification of 2013 for the measurement region Selhausen/Merken of 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.
# 9
Breitbach, Gisbert • Krasemann, Hajo • Onken, Reiner
Abstract: COSYNA stands for 'Coastal Observing System for Northern and Arctic Seas'. The principal goal of the COSYNA-Project is the construction of a long-term observatory for the German part of the NorthSea. The main task of the COSYNA data management is the integration of different data sources in order to provide a web based visualisation and access to observational as well as forecast data. The usage of standards like OGC standards or community standards like NetCDF, OPeNDAP or ncWMS is essential for the data management in COSYNA. The data are stored in an Oracle database for time series-like data and as NetCDF files for data which are acquired simultaneously at different locations. The time series-like data can be freely accessed using OGC SOS (Sensor Observation Service) whereas NetCDF files are available via OPeNDAP. This concept of ‘Open Data’ within COSYNA is planned for near real time data without quality control.
Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 19-25
# 10
Bradtmöller, Marcel • Pastoors, Andreas • Slizewski, Astrid • Weniger, Gerd-Christian
Abstract: The increasing amount of data and the growing importance of digital techniques in archaeology and paleoanthropology require a new form of data organization. The wiki-like data base NESPOS was set up as an international cooperation during an EU funded project and has been developing successfully during the last years. Today it offers a broad range of possibilities for researchers and is amongst others curating CT data of human fossils for the Natural History Museum London and functions as a working platform for the European research program EVAN (European Virtual Anthropology Network).
Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 13-17
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