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Dr Milan Lazecky

Dr Milan Lazecky

Profile

  • since 10/2018: scientific algorithms developer and programmer:InSAR/research staff, University of Leeds, UK
  • 2015-2018: postdoctoral researcher and researcher at IT4Innovations HPC center at VSB-TU Ostrava, CZ; projects include works on SAR-based monitoring using interferometry (reaching Czech nation-wide Sentinel-1 InSAR monitoring system, IT4S1) and polarimetry (focus on deforestation monitoring)
  • 2014: postdoctoral researcher at UTAD Vila Real, Portugal (project BI/UTAD/RemotWatch/38732/2014: RemotWatch - Alert and Monitoring System for Physical Structures)
  • 05-10/2013: postdoctoral researcher at CUHK/PolyU Hong-Kong (application and development of InSAR techniques for infrastructure monitoring)
  • 2008-2011: PhD. in Geoinformatics - VSB-TU Ostrava, CZ; thesis: Monitoring of Terrain Relief Changes using Synthetic Aperture Radar Interferometry: Application of SAR Interferometry Techniques in a Specific Undermined Ostrava-Karviná District
  • 2003-2008: MSc. in Geoinformatics - VSB-TU Ostrava, CZ; thesis: Data warehouse for Dopravoprojekt, Ltd. (Application combining mapserver based on MapGuide OpenSource with a geodatabase based on MS SQL Server 2005)

Responsibilities

  • Development and maintenance of LiCSAR system

Research interests

Applications of satellite-borne SAR interferometry (InSAR) for:

  • measuring and monitoring terrain deformation related to tectonic and volcanic [link to be added] activity
  • Geodesy (see [Lazecky, Hooper, Piromthong, 2023])
  • measuring anthropogrenic-induced deformation (e.g. mining-induced subsidence)
  • extraction of non-deformation signals (e.g. ionosphere)

Development of open-source tools for processing of InSAR data (see github for LiCSAR, daz, LiCSBAS, licsar_extra and other tools)

Development of automatised InSAR processing systems

  • based on experience working on the Czech nation-wide Sentinel-1 InSAR processing system (IT4S1).
  • global tectonics/volcanic InSAR observation system (COMET LiCSAR) extended to response for earthquakes and volcanic events,
  • and machine learning datasets (DEEPVOLC, AlignSAR).

Experience in application of SAR polarimetry for detection of forest changes (primarily in tropical areas)

Qualifications

  • SAR Interferometry
  • Geodesy
  • Big Data Analysis
  • Geoinformatics

Student education

Supervision of PhD student Muhammet Nergizci and various visiting researchers/students

Research groups and institutes

  • Institute of Geophysics and Tectonics