dr. F.O. Ostermann (Frank)

Earth & Environmental Sciences

# Citizen

Engineering & Materials Science

# Automatic Identification
# Data Mining
# Disasters
# Fires
# Thesauri

Social Sciences

# Citizen
# Disaster

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Geo-information Processing (GIP)

Ostermann, F. O. (2021). Peer assessment to improve reproducibility of computational project work. In H-U. Heiß, H-M. Järvinen, A. Mayer, & A. Schulz (Eds.), Proceedings SEFI 49th Annual Conference 2021: Blended Learning in Engineering Education: challenging, enlightening – and lasting? (pp. 1080-1090)

Konkol, M. , Chang, L. , Da Silva Mano, A. , Deon, F. , Koelen, M. , Korringa, D., Mettinkhof, R. , Nelson, A. D. , Ostermann, F. O. , Rietbroek, R. , van der Werff, H. M. A. , Venus, V. , & Zurita-Milla, R. (2021). ITC's strategic plan for Open Science 2021-2025: towards an open future. https://doi.org/10.5281/zenodo.5113578

Ostermann, F. O. (2021). Linking geosocial sensing with the socio-demographic fabric of smart cities. ISPRS international journal of geo-information, 10(2), 1-22. [52]. https://doi.org/10.3390/ijgi10020052

García‐Chapeton, G. A. , Toxopeus, A., Olivero, J. , Ostermann, F. O. , & By, R. A. (2021). Combining favorability modeling with collaborative geo‐visual analysis to improve agricultural pest management. Transactions in GIS, 25(2), 985-1008. https://doi.org/10.1111/tgis.12714

Nüst, D. , & Ostermann, F. (2020). Reproducibility review of: Window operators for processing spatio-temporal data streams on unmanned vehicles. 1-9. Paper presented at 23rd AGILE International Conference on Geographic Information Science. https://doi.org/10.17605/OSF.IO/7TWR2

Ostermann, F., & Nüst, D. (2020). Reproducibility review of: Tracking hurricane Dorian in GDELT and Twitter. 1-3. Paper presented at 23rd AGILE International Conference on Geographic Information Science. https://doi.org/10.17605/OSF.IO/XS5YR

Ostermann, F., & Nüst, D. (2020). Reproducibility review of: Comparing supervised learning algorithms for spatial nominal entity recognition. 2. Paper presented at 23rd AGILE International Conference on Geographic Information Science. https://doi.org/10.17605/OSF.IO/SUWPJ

Nüst, D. , Ostermann, F., Granell, C., & Kmoch, A. (2020). Improving reproducibility of geospatial conference papers: lessons learned from a first implementation of reproducibility reviews. s1-s24. The 15th Munin Conference on Scholarly Publishing, 2020, Norway. https://doi.org/10.7557/5.5601

Zurita-Milla, R., Goncalves, R. , Izquierdo-Verdiguier, E. , & Ostermann, F. O. (2020). Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics. IEEE Transactions on Big Data, 6(3), 583-593. https://doi.org/10.1109/TBDATA.2019.2926292

Granell, C., Hofer, B., Nüst, D. , Ostermann, F. O., & Sileryte, R. (2020). Reproducibilidad en AGILE: Experiencias, logros y recomendaciones. Revista Cartográfica, (100), 155-172. https://doi.org/10.35424/rcarto.i100.668

See all research output of this employee

View my profile

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.