| The potential of combining satellite and airborne remote sensing data for habitat classification and monitoring in forest landscapes A Iglseder, M Immitzer, A Dostálová, A Kasper, N Pfeifer, C Bauerhansl, ... International Journal of Applied Earth Observation and Geoinformation 117 …, 2023 | 22 | 2023 |
| Somatostatin receptor subtype expression and radiomics from DWI-MRI represent SUV of [68Ga] Ga-DOTATOC PET in patients with meningioma S Iglseder, A Iglseder, V Beliveau, J Heugenhauser, ER Gizewski, ... Journal of Neuro-oncology 164 (3), 711-720, 2023 | 3 | 2023 |
| Enhancing the temporal resolution of forest canopy height levels by combining Airborne Laser Scanning and Image Matching point clouds with the help of Machine Learning L Schimpl, A Iglseder, S Mikolka-Flöry, M Hollaus EGU24, 2024 | | 2024 |
| From Point Clouds to Forest Complexity: Addressing Challenges of Structural Analysis of Forest Landscapes using Wall-To-Wall Airborne Laser Scanning Data A Iglseder, L Schimpl, M Hollaus EGU24, 2024 | | 2024 |
| OS06. 7. A SOMATOSTATIN RECEPTOR SUBTYPE EXPRESSION AND RADIOMICS FROM DWI-MRI REPRESENT STANDARDIZED UPTAKE VALUES (SUV) OF68GA-DOTATOC PET IN PATIENTS WITH MENINGIOMA, A … S Iglseder, A Iglseder, V Beliveau, J Heugenhauser, E Gizewski, ... Neuro-Oncology 25 (Suppl 2), ii18, 2023 | | 2023 |
| Finding homogeneity in the diversity: Combining remote sensing data for segmentation and monitoring of forests of high biodiversity value A Iglseder, C Prochaska, H Hoffert-Hösl, M Lechner, M Immitzer, ... | | 2023 |
| Combining Remote Sensing Data for Habitat Mapping and Monitoring on a Regional Scale–the SEMONA RELOADED Project A Iglseder, M Lechner, M Immitzer, H Hoffert-Hösl, C Rottenbacher, ... EGU23, 2023 | | 2023 |
| Unlocking the Potential: Bridging the Gap Between Remote Sensing Science and User Uptake in Environmental Applica-tions. An Eastern Austrian Case Study A Iglseder, C Prochaska, L Schimpl, N Berger, H Hoffert-Hösl, M Lechner, ... VGC 23, 64, 2023 | | 2023 |
| Combining Satellite and Airborne Remote Sensing Data for Habitat Classification and Monitoring in Forest Landscapes A Iglseder, M Immitzer, A Dostalova, A Kasper, N Pfeifer, C Bauerhansl, ... | | 2022 |
| Combining high resolution point clouds and Sentinel data for habitat classification and monitoring A Iglseder # PLACEHOLDER_PARENT_METADATA_VALUE#, 71-74, 2022 | | 2022 |
| The Potential of ALS Data for Habitat Classification in Forest Landscapes-First Results A Iglseder, N Pfeifer, M Hollaus # PLACEHOLDER_PARENT_METADATA_VALUE#, 132-135, 2021 | | 2021 |
| The potential of sentinel-1 data to supplement high resolution earth observation data for monitoring green areas in cities A Iglseder, M Bruggisser, A Dostálová, N Pfeifer, S Schlaffer, W Wagner, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | | 2021 |
| Potential of Sentinel and high resolution EO data for monitoring nature protection in cities-the SeMoNa22 project A Iglseder, M Immitzer, C Bauerhansl, H Hoffert-Hösl, K Kramer, A Kasper, ... EGU General Assembly Conference Abstracts, EGU21-14211, 2021 | | 2021 |
