E-LIB Suche - Ergebnisse für: Matthias Schlögl

1

Digitalizáció és hálózatkutatás:

Peter Alexander, Rumpolt, ; Maximilian, Kaiser, ; Ágoston Zénó, Bernád..
Digitális Bölcsészet. 1 (2018) - p. 139 , 2018

2

Snow Avalanche Debris Analysis Using Time Series of Dual-Po..:

Schlaffer, Stefan ; Schlögl, Matthias
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. , 2024

Link: https://doi.org/10.1109/..

3

Scalable electromagnetic energy harvester for wind turbine ..:

Schlögl, Matthias ; Schneider, Michael ; Schmid, Ulrich
Smart Materials and Structures. 33 (2024) 5 - p. 055037 , 2024

Link: https://doi.org/10.1088/..

4

Von APIS zu VieCPro: Die Entwicklung einer multifunktionale..:

, In: Historische Biographik und kritische Prosopographie als Instrumente in den Geschichtswissenschaften,

Kaiser, Maximilian ; Romberg, Marion ; Schlögl, Matthias. - p. 117-140 , 2023

Link: https://doi.org/10.1515/..

5

Repose time patterns of debris‐flow events in alpine catchm..:

Heiser, Micha ; Schlögl, Matthias ; Spangl, Bernhard...
Earth Surface Processes and Landforms. 48 (2023) 5 - p. 1034-1051 , 2023

Link: https://doi.org/10.1002/..

6

Remote Sensing Techniques for Bridge Deformation Monitoring..:

Schlögl, Matthias ; Dorninger, Peter ; Kwapisz, Maciej..
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 90 (2022) 4 - p. 391-411 , 2022

Link: https://doi.org/10.1007/..

7

The challenge to use multi-temporal InSAR for landslide ear..:

Schlögl, Matthias ; Gutjahr, Karlheinz ; Fuchs, Sven
Natural Hazards. 112 (2022) 3 - p. 2913-2919 , 2022

Link: https://doi.org/10.1007/..

8

Correction to: The challenge to use multi-temporal InSAR fo..:

Schlögl, Matthias ; Gutjahr, Karlheinz ; Fuchs, Sven
Natural Hazards. 113 (2022) 3 - p. 1949-1949 , 2022

Link: https://doi.org/10.1007/..

9

Physical vulnerability to dynamic flooding: Vulnerability c..:

Papathoma-Köhle, Maria ; Schlögl, Matthias ; Dosser, Lea...
Journal of Hydrology. 607 (2022) - p. 127501 , 2022

Link: https://doi.org/10.1016/..

10

Trends in torrential flooding in the Austrian Alps: A combi..:

Schlögl, Matthias ; Fuchs, Sven ; Scheidl, Christian.
Climate Risk Management. 32 (2021) - p. 100294 , 2021

Link: https://doi.org/10.1016/..

11

Design and Simulation of a Scalable Hybrid Energy Harvestin..:

Schlögl, Matthias ; Schneider, Michael ; Schmid, Ulrich
Journal of Physics: Conference Series. 1837 (2021) 1 - p. 012007 , 2021

Link: https://doi.org/10.1088/..

12

Comprehensive time-series analysis of bridge deformation us..:

Schlögl, Matthias ; Widhalm, Barbara ; Avian, Michael
ISPRS Journal of Photogrammetry and Remote Sensing. 172 (2021) - p. 132-146 , 2021

Link: https://doi.org/10.1016/..

13

Expert-based versus data-driven flood damage models: A comp..:

Malgwi, Mark Bawa ; Schlögl, Matthias ; Keiler, Margreth
International Journal of Disaster Risk Reduction. 57 (2021) - p. 102148 , 2021

Link: https://doi.org/10.1016/..

14

The Status of Earth Observation Techniques in Monitoring Hi..:

Avian, Michael ; Bauer, Christian ; Schlögl, Matthias...
Remote Sensing. 12 (2020) 8 - p. 1251 , 2020

Link: https://doi.org/10.3390/..

15

Risk communication and adaptive behaviour in flood-prone ar..:

Attems, Marie-Sophie ; Schlögl, Matthias ; Thaler, Thomas...
PLOS ONE. 15 (2020) 5 - p. e0233551 , 2020

Link: https://doi.org/10.1371/..