Institute for Geodesy and Photogrammetry
Yahya Ghassoun, Dr.-Ing.
Bienroder Weg 81
38106 Braunschweig
Room 011
Tel.: (0531) 391-94586
E-Mail.: y.ghassoun(at)tu-bs.de
Research assistant
On appointment
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
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., 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