Yahya Ghassoun

Function

Research assistant

Office hours

On appointment

Teaching

• Photogrammetry (image processing, photogrammetry and laser scanning)
• Project Seminar for Environmental Engineers/Construction Engineers
• Building in existing buildings
• Digital data acquisition

Research and projects

• AeroInspekt - Automated Measurement of Rail Infrastructure in the Hamburg Harbour

• Rapid prediction of ultrafine dust with geostatic methods using 3D city models

• Documentation of post-war sacral buildings

Publicationen

• Ghassoun, Y., Buchroithner, M. 2012. Modelling of Informal Settlement Growth with Satellite Data in Latakia City, Syria, GEOINFORMATIK 2012 "Mobilität und Umwelt". Braunschweig

• Ghassoun, Y., Buchroithner, M. Modelling of Informal Settlement Growth with Satellite Data in Latakia City, Syria. International Journal of Architecture and Planning, Vol 1, Issue 2, pp:152-163.

• Hwaijeh, R., Ghassoun, Y. GIS-Basierte Modellierung von optimalen Standorten für Waldbrand-Überwachungsstationen. Tishreen Universität Journal für Forschung und wissenschaftlichen Studien.

• Ghassoun, Y., Löwner, M.-O., Weber, S. (2015): Exploring the Benefits of 3D city Models in the Field of Urban Particles Distribution Modelling - a Comparison of Model Results. In: Breunig, M., Al-Doori, M., Butwilowski, E., Kuper, P.V., Benner, J., Haefele, K.H. (Eds.): 3D Geoinformation Science, The Selected Papers of the 3D GeoInfo 2014, Lecture Notes in Geoinformation and Cartography, 193-205.

• Ghassoun, Y., Ruths, M., Löwner, M.-O., Weber, S. (2015): Intra-urban variation of ultrafine particles as evaluated by process related land use and pollutant driven regression modelling. Science of The Total Environment, Volume 536, Pages 150-160.

• Ghassoun, Y., Löwner, M.-O. (2017): Comparison of 2D & 3D parameter-based models in urban fine dust distribution modelling. A. Abdul-Rahman (ed.), Advance in 3d Geoinformation, Lecture Notes in Geoinformation and Cartography, pp. 231-246.

• Ghassoun, Y., Löwner, M.-O. (2017): Land use regression models for total particle number concentrations using 2D, 3D and semantic parameters. Atmospheric Environment, Volume 166, Pages 362-373.

• Gerke, M., Rein, B., Ghassoun, Y. (2017). Handgeführte 3D-Scansysteme zur Vervollständigung von Punktwolken aus terrestrischen oder mobilen Laserscannern. Conference: 165. DVW-SEMINAR TERRESTRISCHES LASERSCANNING 2017 (TLS 2017).

• Löwner, M.-O., Ghassoun, Y. (2018): The influence of levels of detail (LoD0-2) and buffer sizes on parameter effectiveness for fine dust distribution modelling, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W6, 41-48, doi.org/10.5194/isprs-annals-IV-4-W6-41-2018. Online Ressource

• Ghassoun, Y., Löwner, M.-O., Weber, S. (2019). Wind direction related parameters improve the performance of a land use regression model for ultrafine particles. Atmospheric Pollution Research. https://doi.org/10.1016/j.apr.2019.02.001

• Miri, M., Ghassoun, Y., Dovlatabadi, A., Ebrahimnejad, A., Löwner, M.-O. (2019). estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression. Ecotoxicology and Environmental Safety. Volume 174, 15 June 2019, Pages 137-145. https://doi.org/10.1016/j.ecoenv.2019.02.070

• Mohammadi, A., Ghassoun, Y., Löwner, M-O., Behmanesh, M., Faraji, M., Nemati, S., Toolabi, A., Abdolahnejad, A., Panahi, H., Heydari, H., Miri, M. Spatial analysis and risk assessment of urban BTEX compounds in Urmia, Iran. Chemosphere. 2020;246:125769. doi:10.1016/J.CHEMOSPHERE.2019.125769