Dr. Olaf Conrad
researcher
Arbeitsgruppe Geosystemanalyse
Address
Office
Contact
Key aspects of activity
- Physical geography
- GIS, geoinformatics and geomorphometry
- Modeling and simulation of spatial processes especially geo-ecologically relevant processes such as the landscape water budget and the coupled systems climate, topography, soils, vegetation
SAGA GIS
Executive board member and software developer for the SAGA-Project. Since 2007, the project is maintained and developed at the Institute for Geography (University of Hamburg).
For further information, please visit the SAGA-Homepage.
Publications
Wendland, S., Hankers, B., Bock, M., Böhner, J., Squar, J., Lembrich, D. & Conrad, O. (2023): Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft. – Informatik Spektrum, https://doi.org/10.1007/s00287-023-01522-2.
Wehberg, J., Kilian, M., Conrad, O. & Böhner, J. (2020): Die digitale Jagd auf den Borkenkäfer. AFZ-DerWald 18/2020: 29-31.
Karger, D. N., Kessler, M., Conrad, O., Weigelt, P., Kreft, H., König, C., & Zimmermann, N. E. (2019): Why tree lines are lower on islands - Climatic and biogeographic effects hold the answer. Global Ecology and Biogeography, 28(6), 839-850.
Jahan, R., Schickhoff, U., Böhner, J., & Conrad, O. (2018). Quantification of Geodiversity of Sikkim (India) and Its Implications for Conservation and Disaster Risk Reduction Research. In Climate Change, Extreme Events and Disaster Risk Reduction (pp. 279-294). Springer, Cham.
Bock, M., Conrad, O., Günther, A., Gehrt, E., Baritz, R., Böhner, J. (2017). SaLEM (v1.0) – A Soil and Landscape Evolution Model for simulation of regolith depth in periglacial environments. Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-218.
Bechtel, B., Demuzere, M., Sismanidis, P., Fenner, D., Brousse, O., Beck, C., Van Coillie, F., Conrad, O., Keramitsoglou, I., Middel, A., Mills, G., Niyogi, D., Otto, M., See, L. & Verdonck, M.-L. (2017). Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX). Urban Science, 1(2), 15.
Bechtel, B., Conrad, O., Tamminga, M., Verdonck, M. L., Van Coillie, F., Tuia, D., ... & Xu, Y. (2017). Beyond the urban mask. In Urban Remote Sensing Event (JURSE), 2017 Joint (pp. 1-4). IEEE.
Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N., Linder,H.P. & Kessler, M. (2016): Climatologies at high resolution for the Earth land surface areas. Scientific Data 4, 170122.
Weinzierl, T., Wehberg, J., Böhner, J. & Conrad, O. (2016): Spatial Assessment of Land Degradation Risk for the Okavango River Catchment, Southern Africa. – Land Degradation & Development 27 (2): 281-294, doi:10.1002/ldr.2426.
Bechtel, B., Alexander, P., Böhner, J., Ching, J., Conrad, O., Feddema, J., Mills, G., See, L. & Stewart, L. (2015): Mapping local climate zones for a worldwide database of form and function of cities. – ISPRS Int. J. Geo-Inf. 4 (1): 199-219, doi:10.3390/ijgi4010199.
Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Böhner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. – Geosci. Model Dev., 8, 1991-2007, doi:10.5194/gmd-8-1991-2015.
Gerlitz, L., Conrad, O., Thomas, A. & Böhner, J. (2014): Assessment of Warming Patterns for the Tibetan Plateau and its adjacent Lowlands based on an elevation- and bias corrected ERA-Interim Data Set. – Climate Research 58: 235-246, doi:10.3354/cr01193.
Eckhardt, M., Urhahne, D., Conrad, O. & Harms, U. (2012): How effective is instructional support for learning with computer simulations? Instructional science. Advance online publication. doi: 10.1007/s11251-012-9220-y.
Eckhardt, M., Urhahne, D., Conrad, O. & Harms, U. (2009): Instruktionale Unterstützung beim Lernen mit Computersimulationen im Fach Biologie. In: Harms et al. (Hrsg.), Heterogenität erfassen-individuell fördern im Biologieunterricht. Internationale Tagung der Fachsektion Didaktik der Biologie im VBiO (FDdB) (S. 230-232). Kiel: IPN Kiel.
Olaya, V. & Conrad, O. (2008): Geomorphometry in SAGA. In: Hengl, T. and Reuter, H.I. [Hrsg.]: Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, Elsevier, Bd.33, S.293-308.
Heinrich, R. & Conrad, O. (2008): Diffusion, Flow and Concentration Gradient Simulation with SAGA GIS using Cellular Automata Methods. In: Böhner, J., Blaschke, T. & Montanarella, L. [Hrsg.]: SAGA - Seconds Out. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Bd.19, S.59-70.
Phua, M.-H., Conrad, O., Kamlun, K.U., Fischer, M. & Böhner, J. (2008): Multitemporal Fragmentation Analysis of Peat Swamp Forest in the Klias Peninsula, Sabah, Malaysia using GIS and Remote Sensing Techniques. In: Böhner, J., Blaschke, T. & Montanarella, L. [Hrsg.]: SAGA - Seconds Out. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Bd.19, S.81-90.
Bock, M., Böhner, J., Conrad, O., Köthe, R. & Ringeler, A. (2007): Methods for creating Functional Soil Databases and applying Digital Soil Mapping with SAGA GIS. In: Hengl, T., Panagos, P., Jones, A. & Toth, G. [Hrsg.] 2007. Status and prospect of soil information in south-eastern Europe: soil databases, projects and applications. EUR 22646 EN Scientific and Technical Research series, Office for Official Publications of the European Communities, Luxemburg, S.149-162. [PDF]
Conrad, O. (2007): SAGA - Entwurf, Funktionsumfang und Anwendung eines Systems für Automatisierte Geowissenschaftliche Analysen. electronic doctoral dissertation, University of Göttingen. [PDF]
Conrad, O., Krüger, J.P., Bock, M. & Gerold, G. (2006): Soil Degradation Risk Assessment Integrating Terrain Analysis and Soil Spatial Prediction Methods. Proceedings of the International Conference "Soil and Desertification - Integrated Research for the Sustainable Management of Soils in Drylands", 5-6 May 2006, Hamburg, Germany. Internet-Publication edited by the Coordination of Desert*Net Germany.
Conrad, O. (2006): SAGA - Program Structure and Current State of Implementation. in: Böhner, J., McCloy, K.R. & Strobl, J. [Hrsg.]: SAGA - Analysis and Modelling Applications. Göttinger Geographische Abhandlungen, Bd.115, S.39-5.
Conrad, O. (2005): Digitale Reliefanalyse in der multimedialen Lehre. Arbeitsberichte des Geographischen Instituts der Humboldt-Universität zu Berlin, Bd.109, S.37-47.
Böhner, J., Schäfer, W., Conrad, O., Gross, J. & Ringeler, A. (2003): The WEELS Model: Methods, Results and Limitations. Catena, Bd. 52, S. 289-308.
Böhner, J., Köthe, R. Conrad, O., Gross, J., Ringeler, A. & Selige, T. (2002): Soil Regionalisation by Means of Terrain Analysis and Process Parameterisation. In: Micheli, E., Nachtergaele, F. & Montanarella, L. [Hrsg.]: Soil Classification 2001. European Soil Bureau, Research Report No.7, EUR 20398 EN, Luxembourg., S.213-222.
Etzrodt, N., Zimmermann, R. & Conrad, O. (2002): Upscaling Water Cycle Parameters Using Geomorphometric Terrain Parameters and Topographic Indices Derived from Interferometric DEM. In: Wilson, A. [Hrsg.]: Proceedings of the 3rd International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, 11-14 September, 2001 in Sheffield, UK. S.251-254.
Selige, T., Ringeler, A., Böhner, J., Conrad, O. & Köthe, R. (2001): Validation of Grid-Based Surface Reconstruction Techniques Applied to Digital Elevation Models Including the Shuttle Radar Topographic Mission. Proceedings of the International Geoscience and Remote Sensing Symposium, IEEE Publication, New York, S.3135-3137.
Projects
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Since 2017
IpsPro: Improved risk assessment for bark beetle (Ips spec.) impacts - foundation for a prognosis tool as integral part of forest conservation. - Since 2016
i_SSS (integrated Support System for Sustainability): Scientific cooperation with Bayer CropScience and relevant authorities to develop a GIS based geoecosystemological impact model as a support for resource-efficient and environmentally friendly agricultural production.
- Since 2010
CHELSA (Climatologies at High resolution for the Earth’s Land Surface Areas): Development of methods for the generation of global climate data with a high spatial resolution (http://chelsa-climate.org/).
- 2008-2017
SaLEM: Implementation of a Soil and Landscape Evolution Model for the simulation of regolith depth in periglacial environments (https://www.geosci-model-dev-discuss.net/gmd-2017-218/).
- 2013-2016
BCS–DAT (Bayer Crop Science Diagnosis Advisory Tool): Development and application of a GIS tool for agricultural consultation regarding erosion and runoff disposition at field scale.
- 2010-2015
TFO (The Future Okavango): Scientific support for sustainable land and re-source management in the Okavango basin. GIS-based landscape analyses, environmental modelling, and decision support for integrated resource man-agement.