
tomasz.niedzielski@uwr.edu.pl
tel. +48 71 375 22 83
Zainteresowania
- environmental sciences
- poland
- uav
- unmanned aerial vehicle
- unmanned aerial vehicle uav
- environmental engineering
- search and rescue
- snow cover
- lost person
- structure from motion
Dyscyplina naukowa
- nauki o Ziemi i środowisku
Najnowsze publikacje
- The impact of the satellite ground track shift on the accuracy of altimetric measurements on rivers : a case study of the Sentinel-3 altimetry on the Odra/Oder River
- Estimating snow water equivalent using unmanned aerial vehicles for determining snow-melt runoff
- The accuracy of the Sentinel-3A altimetry over Polish rivers
- The use of unmanned aerial vehicles (UAVs) for engineering geology applications
- Assessing and mitigating ice-jam flood hazards and risks : a European perspective
- First successful rescue of a lost person using the human detection system : a case study from Beskid Niski (SE Poland)
- Drivers of biomass and biodiversity of non-chemosynthetic benthic fauna of the Mid-Atlantic Ridge in the North Atlantic
- Development of an ice jam flood forecasting system for the Lower Oder River : requirements for real-time predictions of water, ice and sediment transport
- Histogram-based edge detection for river coastline mapping using UAV-acquired RGB imagery
- Reconstructing bed topography of a shallow river from close-range aerial imagery : multi-UAV experimental campaign in the Izera river (SW Poland/N Czechia)
- Improving linear interpolation of missing hydrological data by applying integrated autoregressive models
- Szorstkość pokrycia terenu jako źródło błędu metody SfM zastosowanej do rekonstrukcji zasięgu pokrywy śnieżnej
- Basic prediction methods in marine sciences
- Forecasting the North Atlantic Oscillation index using altimetric sea level anomalies
- The nested k-means method : a new approach for detecting lost persons in aerial images acquired by unmanned aerial vehicles
- A real-time field experiment on search and rescue operations assisted by unmanned aerial vehicles
- Impact of boosting saturation on automatic human detection in imagery acquired by unmanned aerial vehicles
- Real-time hydrograph modelling in the upper Nysa Kłodzka river basin (SW Poland) : a two-model hydrologic ensemble prediction approach
- Fully-automated estimation of snow depth in near real time with the use of unmanned aerial vehicles without utilizing ground control points
- Automated snow extent mapping based on orthophoto images from unmanned aerial vehicles