Participation in SPLITRS 2017

Paritcipation in SPLITRS 2017

MRSG is proud to paritcipate in SPLITRS 2017 with lectures on Coastal monitoring using UAV and  Maritime phenomena seen in SAR image.

After Split (2014), Thessaloniki (2015) and Chania (2016), SPLITRS 2017 is taking us to Dubrovnik, Croatia. Once again, an intensive learning remote sensing program will be offered at a great location, “a land of great natural beauty and astounding cultural heritage”. Dubrovnik joined the UNESCO list of World Heritage Sites.


SPLITRS Program:


LiDAR processing with LAStools

The DART model (Discrete Anisotropic Radiative Transfer)

Biophysical parameters for monitoring and evaluating ecosystem biodiversity

Maritime phenomena seen in SAR image

Synthetic Aperature Radar (SAR): Maritime phenomena and Oil detection

Hyperspectral Remote Sensing

Coastal monitoring using UAV

Pattern recognition techniques for remote sensing


This intensive and advanced, 5-day learning event, presents best insights into most recent techniques learned from top international professors and researchers through hands-on sessions and lectures. Participants will learn about different remote sensing applications using UAS (drone), hyperspectral and LiDAR sensors, SAR, various RS software. Learning about information extraction techniques will be an integral part of the school program in 2017.

The program will not demand prior comprehensive knowledge of remote sensing, but prior understanding is recommended. Participants are expected to follow the program throughout the five days and they will receive a certificate of attendance specifying each of the lectures followed. The certificates will include the recommendation that the SPLIT Remote Sensing program may be used as enhancements to existing degree programs or as a stand-alone course.


  • Dr. MARTIN ISENBURG: Hands-on course to LiDAR processing with LAStools
  • Dr. HARM GREIDANUS: Radar and Synthetic Aperture Radar (SAR) imaging; Maritime phenomena in SAR images / Systems for maritime surveillance and their practical use
  • Dr. Jean-Philippe GASTELLU-ETCHEGORRY: The DART Discrete Anisotropic Radiatie Transfer) model
  • Dr. SELIM AKSOY: Pattern Recognition
  • Dr. KONSTANTINOS TOPOUZELIS: SAR Oil spill detection / Coastal Monitoring using UAV
  • Dr. CLAUDIA NOTARNICOLA: Biophysical parameters from remotely sensed imagery as a tool for monitoring and evaluating ecosystem biodiversity
  • Dr. RIBANA ROSCHER: Unsupervised Learning for Remote Sensing Data
  • GDi: Hyperspectral Remote Sensing