IEEE Educational Events

IEEE GRSS Türkiye Chapter Invited Lectures on Remote Sensing and Oceanography

IEEE GRSS Türkiye Chapter Invited Lectures on Remote Sensing and Oceanography 150 150 ieeeeduweek

IEEE GRSS Türkiye Chapter is pleased to invite you to insightful talks featuring Prof. Xu and Prof. Li, who will share their cutting-edge research on the integration of artificial intelligence (AI) and satellite remote sensing for oceanographic studies. 

 
This seminar is presented as part of the İTÜ Faculty of Aeronautics and Astronautics UZB 381E: Application of Satellite-Based Data” lectures.
 
Don’t miss this opportunity to gain valuable insights into the future of AI-driven oceanography!
Looking forward to seeing you there!
Title: Advancing Ocean Observations with AI and Satellite Remote Sensing
🗓 Date: April 29th, 2025
🕙 Time: 13:00-15:00
📍 Location: Istanbul Technical University Faculty of Civil Engineering Conference Hall

Geospatial analysis to mitigate the Human-Elephant conflict in Southern Africa (held in English)

Geospatial analysis to mitigate the Human-Elephant conflict in Southern Africa (held in English) 847 876 ieeeeduweek

Summary: this talk will emphasize on the potential of GIS and remote sensing in the geospatial analysis to mitigate the Human-Elephant conflict in Southern Africa.

Mathematical morphology in processing and analysis of the Digital Elevation Models

Mathematical morphology in processing and analysis of the Digital Elevation Models 713 737 ieeeeduweek

Summary: DEM users are often unaware of the technicalities of the model’s generation, provenance, and error characteristics. This information is often not available or unfamiliar. For example, the SRTM DEM measures the electrical height of the surface as seen by the radar, not the ground or canopy top measured by other techniques. In addition, DEM analysis tools are often used without a deep understanding of the methods employed. As a case in point, the methods described in this talk were developed by specialists and require some dedication to understand and apply properly. For geoscientists, it is a challenge of the utmost importance to decipher the geometric, topologic, and morphologic relevance data concealed by DEMs, and the geoscientist cannot expect the algorithm developer approaching the analysis from a mathematical perspective to provide a solution for any DEM or geographical context. Therefore, it is imperative that geoscientists have some facility with the theory, algorithm development, and computer code generation to collaborate with and guide the specialists in their sophisticated endeavors.