publications

Publications sorted by

Year:

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Project:

A1 A2 A3

A4

 

B1 B3 B4

B5 B6 B7

B8 B9

 

C1 C3 C4

C6 C7

D2 D3 D5

D6 D7 D8

 

T1

Z1 Z2 Z3

Z4 MGK

TR32 Publications


TR32 Publications for Project Z1

Article(s)


Bendig, J., Bolten, A., Bareth, G., 2013.
UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability.
PFG (Photogrammetrie - Fernerkundung - Geoinformation). 2013 (6), 551 - 562. DOI: 10.1127/1432-8364/2013/0200.

Curdt, C., Hoffmeister, D., Waldhoff, G., Jekel, C., Bareth, G., 2012.
Scientific Research Data Management for Soil-Vegetation-Atmosphere Data – The TR32DB.
International Journal of Digital Curation. 2 (7), 68 - 80. DOI: 10.2218/ijdc.v7i2.208.

Curdt, C., 2019.
Supporting the Interdisciplinary, Long-Term Research Project ‘Patterns in Soil-Vegetation-Atmosphere-Systems’ by Data Management Services.
Data Science Journal. 18 (1), 1 - 9. DOI: 10.5334/dsj-2019-005.

Curdt, C., Hoffmeister, D., 2015.
Research data management services for a multidisciplinary, collaborative research project: Design and implementation of the TR32DB project database.
Program. 49 (4), 494 - 512. DOI: 10.1108/PROG-02-2015-0016.

Hoffmeister, D., Waldhoff, G., Korres, W., Curdt, C., Bareth, G., 2015.
Crop height variability detection in a single field by multi-temporal terrestrial laser scanning.
Precision Agriculture. 17 (3), 296 - 312. DOI: 10.1007/s11119-015-9420-y.

Hütt, C., Waldhoff, G., 2018.
Multi-data approach for crop classification using multitemporal, dual-polarimetric TerraSAR-X data, and official geodata.
European Journal of Remote Sensing. 51 (1), 62 - 74. DOI: 10.1080/22797254.2017.1401909.

Lussem, U., Hütt, C., Waldhoff, G., 2016.
Combined analysis of Sentinel-1 and RapidEye data for improved crop type classification: An early season approach for rapeseed and cereals.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLI-B8, 959 - 963. DOI: 10.5194/isprsarchives-XLI-B8-959-2016.

Waldhoff, G., Lussem, U., Bareth, G., 2017.
Multi-Data Approach for remote sensing-based regional crop rotation mapping: A case study for the Rur catchment, Germany.
International Journal of Applied Earth Observations and Geoinformation. 61, 55 - 69. DOI: 10.1016/j.jag.2017.04.009.

Willmes, C., Kürner, D., Bareth, G., 2014.
Building Research Data Management Infrastructure using Open Source Software.
Transactions in GIS. 18 (4), 496 - 509. DOI: 10.1111/tgis.12060.

Yu, K., Leufen, G., Hunsche, M., Noga, G., Chen, X., Bareth, G., 2013.
Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices.
Remote Sensing. 6 (1), 64 - 86. DOI: 10.3390/rs6010064.

Reichenau, T., Korres, W., Montzka, C., Fiener, P., Wilken, F., Wilken, F., Waldhoff, G., Schneider, K., 2016.
Spatial Heterogeneity of Leaf Area Index (LAI) and its Temporal Course on Arable Land: Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis Approach (CDAA).
PLOS ONE. 11 (7), 1 - 24. DOI: 10.1371/journal.pone.0158451.

Book(s)


Bendig, J., Bareth, G., 2014.
Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation.
Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany.

Curdt, C., Willmes, C., 2016.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany.
Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne.

Curdt, C., Bareth, G., 2010.
Proceedings of the Data Management Workshop, 29.-30.10.2009, University of Cologne, Germany.
Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany.

Lenz-Wiedemann, V., Bareth, G., 2011.
Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19.11.2010, University of Cologne, Germany.
Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany.

Book Section(s)


Bareth, G., Aasen, H., Bendig, J., Gnyp, M., Bolten, A., Jung, A., Michels, R., Soukkamäki, J., 2014.
Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements.
In: Bendig, J., Bareth, G. (Eds.): Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 1 - 6. DOI: 10.5880/TR32DB.KGA94.2.

Bareth, G., Bolten, A., Bendig, J., 2011.
Potentials for low-cost Mini-UAVs.
In: Lenz-Wiedemann, V., Bareth, G. (Eds.): Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 1 - 8. DOI: 10.5880/TR32DB.KGA92.2.

Bareth, G., Waldhoff, G., 2018.
GIS for Mapping Vegetation.
In: Huang, B. (Eds.): Comprehensive Geographic Information Systems. Reference Module in Earth Systems and Environmental Sciences. Elsevier, Oxford, 1 - 27. DOI: 10.1016/B978-0-12-409548-9.09636-6.

Bendig, J., Bareth, G., 2014.
Preface.
In: Bendig, J., Bareth, G. (Eds.): Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 1 - 2. DOI: 10.5880/TR32DB.KGA94.1.

Bolten, A., Hoffmeister, D., Willmes, C., Bubenzer, O., Bareth, G., 2010.
Adapting the Data Management Concept of the CRC/TR 32 „SVA-Patterns“ to CRC 806 "Our Way to Europe".
In: Curdt, C., Bareth, G. (Eds.): Proceedings of the Data Management Workshop. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 7 - 11. DOI: 10.5880/TR32DB.KGA90.3.

Curdt, C., 2016.
Metadata Management in an Interdisciplinary, Project-Specific Data Repository: A Case Study from Earth Sciences.
In: Garoufallou, E., Subirats Coll, I., Stellato, A.& Greenberg, J. (Eds.): Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Springer International Publishing, Cham, 357 - 368. DOI: 10.1007/978-3-319-49157-8_31.

Curdt, C., Hoffmeister, D., Jekel, C., Udelhoven, K., Waldhoff, G., Bareth, G., 2010.
Implementation of a centralized data management system for the CRC Transregio 32 ”Patterns in Soil-Vegetation-Atmosphere-Systems”.
In: Curdt, C., Bareth, G. (Eds.): Proceedings of the Data Management Workshop. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 27 - 33. DOI: 10.5880/TR32DB.KGA90.6.

Curdt, C., Willmes, C., 2016.
Preface.
In: Curdt, C., Willmes, C. (Eds.): Proceedings of the 2nd Data Management Workshop. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, III - IV. DOI: 10.5880/TR32DB.KGA96.1.

Curdt, C., Bareth, G., 2010.
Preface.
In: Curdt, C., Bareth, G. (Eds.): Proceedings of the Data Management Workshop. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, III - IV. DOI: 10.5880/TR32DB.KGA90.1.

Curdt, C., Lang, U., Bareth, G., 2016.
The TR32DB: A Research Data Management System for the CRC/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems’.
In: Curdt, C., Willmes, C. (Eds.): Proceedings of the 2nd Data Management Workshop. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, 7 - 15. DOI: 10.5880/TR32DB.KGA96.3.

Hoffmeister, D., Waldhoff, G., Curdt, C., Tilly, N., Bendig, J., Bareth, G., 2013.
Spatial variability detection of a single field by terrestrial laser scanning.
In: Stafford, J.V. (Eds.): Precision agriculture ’13. Wageningen Academic Publishers, Wageningen, 267 - 274. DOI: 10.3920/978-90-8686-778-3_31.

Hoffmeister, D., Bendig, J., Waldhoff, G., 2011.
Evaluating airborne laser scanning data for generation of digital evelation models and land cover mapping.
In: Lenz-Wiedemann, V., Bareth, G. (Eds.): Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 31 - 38. DOI: 10.5880/TR32DB.KGA92.5.

Hoffmeister, D., Curdt, C., Tilly, N., Bendig, J., 2011.
3D terrestrial laser scanning for field crop modelling.
In: Lenz-Wiedemann, V., Bareth, G. (Eds.): Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 25 - 30. DOI: 10.5880/TR32DB.KGA92.4.

Lenz-Wiedemann, V., Bareth, G., 2011.
Preface.
In: Lenz-Wiedemann, V., Bareth, G. (Eds.): Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, III - III. DOI: 10.5880/TR32DB.KGA92.1.

Tilly, N., Hoffmeister, D., Aasen, H., Brands, J., Bareth, G., 2014.
Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley.
In: Bendig, J., Bareth, G. (Eds.): Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 83 - 91. DOI: 10.5880/TR32DB.KGA94.12.

Event Paper(s)


Curdt, C., Hoffmeister, D., Waldhoff, G., Bareth, G., 2009.
Implementation of a metadatabase for a regional SDI for soil-vegetation-atmosphere modelling.
Proc. of GSDI 11 World Conference: Spatial Data Infrastructure Convergence: Building SDI Bridges to address Global Challenges, June 15 - 19, 2009, Rotterdam, The Netherlands, 1 - 12.

Curdt, C., Hoffmeister, D., Waldhoff, G., Bareth, G., 2008.
Spatial Data Infrastructure for Soil-Vegetation-Atmosphere Modelling: Set-up of a spatial database for a research project (SFB/TR32).
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRS). Proc. of XXI. ISPRS Congress, Commission IV, Part B4 (XXXVII ), July 03 - 11, 2008, Beijing, China, 131 - 136.

Curdt, C., Hoffmeister, D., Waldhoff, G., Jeckel, C., Bareth, G., 2012.
Development of a Metadata Management System for an Interdisciplinary Research Project.
In: Shortis, M., Wagner, W., Hyyppä, J. (Eds.): ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences . Proc. of XXII ISPRS Congress, 1-7, August 25 - September 01, 2012, Melbourne, Australia, 7 - 12. DOI: 10.5194/isprsannals-I-4-7-2012.

Curdt, C., Hoffmeister, D., Jeckel, C., Waldhoff, G., Bareth, G., 2011.
TR32DB: Implementation of a Scientific Data Management System for the CRC/TR32.
Proc. of Ensuring Long-Term Preservation and Adding Value to Scientific and Technical Data, November 15 - 17, 2011, Toulouse, France, 1 - 8.

Curdt, C., 2016.
Supporting data management services for an interdisciplinary, long-term research project with focus on soil, vegetation and atmospheric data.
Proc. of SciDataCon 2016: Advancing the Frontiers of Data in Research, September 11 - 13, 2016, Denver, Colorado, USA, 1 - 4.

Curdt, C., Hoffmeister, D., Jeckel, C., Brocks, S., Waldhoff, G., Bareth, G., 2011.
TR32DB - Management and visualization of heterogeneous scientific data.
Proc. of 19th International Conference on Geoinformatics, June 24 - 26, 2011, Shanghai, China, 1 - 6. DOI: 10.1109/GeoInformatics.2011.5981092.

Curdt, C., Hoffmeister, D., Waldhoff, G., Bareth, G., 2009.
Management and Visualization of Interdisciplinary Research Data with ArcGIS Server.
Proc. of ESRI International User Conference, July 13 - 17, 2009, San Diego, CA, USA, 1 - 4.

Curdt, C., Hoffmeister, D., Waldhoff, G., Lang, U., Bareth, G., 2015.
TR32DB - Management of Research Data in a Collaborative, Interdisciplinary Research Project.
Geophysical Research Abstracts. Proc. of EGU General Assembly 2015, 17 (EGU2015-11979), April 12 - 17, 2015, Vienna, Austria, 1 - 1.

Curdt, C., Hoffmeister, D., Waldhoff, G., Bareth, G., 2009.
Implementierung eines Projektdatenmanagements für das interdisziplinäre Forschungsprojekt TR32 „Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation“.
In: Bill, R., Korduan, P., Theuvsen, L. and Morgenstern, M. (Eds.): Anforderungen an die Agrarinformatik durch Globalisierung und Klimaveränderung.. Proc. of GIL 2009, P-142, March 09 - 10, 2009, Rostock, Germany, 181 - 184.

Hoffmeister, D., Curdt, C., Tilly, N., Bendig, J., Bareth, G., 2011.
3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning.
Proc. of Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modelling, December 15 - 16, 2011, Hong Kong, China, 1 - 5.

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, 7146, June 28 - 29, 2008, Guangzhou, China, 1 - 6. DOI: 10.1117/12.813171.

Waldhoff, G., Curdt, C., Hoffmeister, D., Bareth, G., 2012.
Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping.
In: Shortis, M., Wagner, W., Hyyppä, J. (Eds.): ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Proc. of XXII ISPRS Congress, 1-7, August 25 - September 01, 2012, Melbourne, Australia, 177 - 182. DOI: 10.5194/isprsannals-I-7-177-2012.

Waldhoff, G., Curdt, C., Hoffmeister, D., Bareth, G., 2011.
Spatio-temporal land use patterns for regional (agro-)ecosystem modelling.
Proc. of Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modelling, December 15 - 16, 2011, Hong Kong, China, 1 - 5.

Waldhoff, G., Bareth, G., 2015.
Phänologiebasierte Landnutzungsanalyse zur Ableitung von Feldfrüchten am Beispiel des Rureinzugsgebiets.
In: Thomas P. Kersten (Eds.): The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Proc. of Bridging Scales - Skalenübergreifende Nah- und Fernerkundungsmethoden - 35. Wissenschaftlich-Technische Jahrestagung der DGPF, 25, March 16 - 18, 2015, Cologne, 165 - 172.

Waldhoff, G., Eichfuss, S., Bareth, G., 2015.
Integration of Remote Sensing Data and Basic Geodata at different scale levels for improved Land Use Analyses.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Proc. of ISPRS Geospatial Week, ISSDQ 2015 - The 9th International Symposium on Spatial Data Quality, ISPRS Geospatial Week 2015 (Volume XL-3/W3), September 29 - 30, 2015, La Grande Motte, France, 85 - 89. DOI: 10.5194/isprsarchives-XL-3-W3-85-2015.

Waldhoff, G., Curdt, C., Hoffmeister, D., Bareth, G., 2009.
Multi-Daten Ansatz für verbesserte Landnutzungsanalyasen - Fallstudie Rur-Einzugsgebiet.
In: Bill, R., Korduan, P., Theuvsen, L. and Morgenstern, M. (Eds.): Anforderungen an die Agrarinformatik durch Globalisierung und Klimaveränderung. . Proc. of GIL 2009, P-142, March 09 - 10, 2009, Rostock, Germany, 37 - 40.

         

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