足球竞彩网_365bet体育在线投注-【中国科学院】

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MSc. Irada Ismayilova

Research and teaching assistant
Geoinformatics
Phone: +49 821 598 2281
Email:
Room: 2031 (B)
Address: Alter Postweg 118, 86159 Augsburg

Curriculum/Vitae

Academic Career

Since 2019??? Research and Teaching Assistant at the Chair of Geoinformatics

2021-2023???? Team member in the KodiLL project: part of an Agile plugin development team

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Education

2017- 2019??? Master’s degree in ?Geoinformatics for Urbanised Society“, University of Tartu, Estonia
2015- 2017??? Master’s degree in ?Agricultural Engineering“, Szent Istvan University, Hungary
2011- 2015??? Bachelor’s degree in ?Geography teacher“, Baku State University, Azerbaijan

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Research foci

  • Identification and Mapping of Urban Green Spaces
  • Human Wellbeing and Urban Green Spaces
  • Semantic Mapping
  • Image Classification with Machine Learning Methods
  • R Programming for Environmental Applications

Courses / teaching

(applied filters: semester: current | lecturers: Irada Ismayilova | course types: ?bung, Projektseminar)

Publications

  • Ismayilova, I., & Timpf, S., 2022. Towards an Ontology of Urban Green Spaces. GI_Forum 2022,, 10, 47-57.
  • Ismayilova, I., & Timpf, S., 2022. Classifying Urban Green Spaces using a combined Sentinel-2 and Random Forest approach. AGILE: GIScience Series, 3, 38.
  • Ismayilova, I., Zeyer, T., Timpf, S., 2021. Identification of Microplastics in Soils Using 2D Geometric Shape Descriptors. AGILE: GIScience Series, 2, 1-6.
  • R?ger, C. and Ismayilova, I., 2020. Predicting ambient traffic of a vehicle from road abrasion measurements using random forest. In Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, pp.1-7.
  • Ismayilova, I., Uuemaa, E., Helm, A., R?ger, C. and Timpf, S., 2020. Land Suitability Analysis of Alvar Grassland Vegetation in Estonia Using Random Forest. GI_Forum, 8, pp.63-72.

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