Former member
Former member
/Note: This data is outdated/
His research field involves the whole satellite image process chain, from data acquisition techniques, image pre-processing, image analysis, mapping to distribution of the derived products. His main research fields are applications of satellite remote sensing in natural disasters especially for detection of affected areas and damage assessment. The aim of his research is faster activation of rescue teams to help affected residents and better protection against the natural disasters in the future. He operates with geographic information systems (GIS ) and geostatistics in combination with machine learning techniques. He regularly participates in scientific conferences and collaborates on several national and international projects.
- LAMOVEC, Peter – VELJANOVSKI, Tatjana – MIKOŠ, Matjaž – OŠTIR, Krištof, 2013, Detecting flooded area swith machine learning techniques: case study of the Selška Sora river flash flood in September 2007. Journal of applied remote sensing, 7 (1): 1-13.
- LAMOVEC, Peter – MIKOŠ, Matjaž – OŠTIR, Krištof, 2013, Detection of flooded areas using machine learning techniques: case study of the Ljubljana moor floods in 2010. Disaster advances, 6 (7): 4-11.
- LAMOVEC, Peter, 2013, Determination of flooded areas using remote sensing and machine learning : doctoral thesis. Faculty of Civil and Geodetic Engineering, University of Ljubljana.
- LAMOVEC, Peter – MIKOŠ, Matjaž, 2011, Analysis of floods using satellite images - case study of the 2007 torrential flood in the Selška valley. Geodetski vestnik, 55 (3): 483-494.
- LAMOVEC, Peter – OŠTIR, Krištof, 2010, Application of data mining for determination of flooded areas - Selška Valley 2007 floods case study. Geodetski vestnik, 54 (4): 661-675.
BSc of Geodesy, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 2008
PhD, Environmental protection interdisciplinary doctoral programme, University of Ljubljana, 2013