|Dr habil. Eng. Stanislaw Lewinski
Space Research Centre of Polish Academy of Sciences, Space Research Centre of Polish Academy of Sciences|
Tel: +48 22 4966286
Dr. Stanisław Lewiński is working for the Space Research Centre (SRC) of Polish Academy of Sciences. He is the Head of Image Processing Laboratory in Earth Observation Group (EOG).
1981-1984: Central Laboratory of Radiological Protection, Warsaw.
1984-2011: Institute of Geodesy and Cartography (IGiK), Warsaw.
1998 to present: Warsaw University, Faculty of Geography and Regional Studies (part time).
2011 to present: Space Research Centre (SRC) of Polish Academy of Sciences.
Dr. Lewiński has over 25 years of extensive practical experience in the field of image processing and GIS. During that time he was involved in various remote sensing and GIS projects. He has extensive practical experiences in the field of image processing and GIS, advanced skills in object-oriented classification and change detection. Author of over 55 scientific papers (2 monographs) and twenty satellite and land use maps. He has also developed two original methods of image processing: first used for merging of RGB composites, and second for improving resolution of LISS-III composite.
He served as the leader of projects funded by the Polish State Committee for Scientific Research and the Ministry of Science and Higher Education:
2006-2008: “Elaboration of methodology of object-oriented classification of SPOT satellite images for detailed land cover data base creation”.
2003-2005: “Elaboration an automatic support method for the process of satellite image interpretation of land cover forms “.
2001-2003: “Methodology of using image information for the elaboration of detailed land use maps”.
1999-2000: “Methodology of the elaboration of satellite maps for first and second level administration units”.
In the years 2003-2004 was the leader of the Polish side of joint project between Poland and Republic of South Africa “Investigating and Developing Land Cover Classification and Visualisation Techniques for use with Remotely sensed Imagery“.
In the years 2009-2010 leader of IGiK’s team which prepared a method for object-oriented classification of VHR satellite images, for SATChMo project.
Activities in education
Since 1999 lecturer of image processing at Warsaw University, Faculty of Geography and Regional Studies. Supervisor of MSc students.
2007-2010: 3 days lectures of object-oriented classification for GEM students (Erasmus Mundus scholarship).
SRC is coordinating SATChMo project (Seasonal & Annual Change Monitoring), which is a part of Geoland2/GMES program. Geoland2 intends to constitute a major step forward in the implementation of the GMES Land Monitoring Core Service (LMCS). SATChMo delivers: (i) VHR/HR Area Frame Sampling over permanent samples representative for all European and African environmental / ecological conditions for annual statistics of land cover & land cover change; (ii) complete MR continental coverage of seasonal and annual vegetation parameters to produce land cover change and agricultural land use.
Lewiński St., 2006. Land use classification of ASTER image – Legionowo test site.
Proceedings of the 25th Symposium of the European Association of Remote Sensing Laboratories, Porto, Portugal, 6-9 June 2005. Global Developments in Environmental Earth Observation from Space, p. 441-447.
Lewiński St., 2006. Object-oriented classification of Landsat ETM+ satellite image. Journal of Water and Land Development, IMUZ, No 10, p. 91-106, Raszyn.
Lewiński St., 2007. Applying fused multispectral and panchromatic data of Landsat ETM+ to object oriented classification. Proccedings of the 26th EARSeL Symposium, New Developments and Challenges in Remote Sensing, May 29-June 2, 2006, Warsaw, Poland, p 233-240.
Lewiński St., Bochenek Z., 2009. Rule-based classification of SPOT imagery using object-oriented approach for detailed land cover mapping. Proccedings of the 28th EARSeL Symposium "Remote sensing for a changing Europe", Istanbul, Turkey, 2-5 June 2008.
Lewiński St., Bochenek Z., Turlej K., 2010. Object-oriented method for classification of VHR satellite images using rule-based approach. Geoinformation Issues, IGiK. Vol. 2.