Meet Ivica Obadic, PhD student at #TUM & #MCML, who develops transparent AI models to analyze satellite images 🌍. His work detects and predicts urban changes, giving city planners explainable recommendations to design more sustainable, livable cities.

youtu.be/Qlur0GgsXcA

Great collaboration with @drnhhl.bsky.social on creating this review. Also, a huge thanks to Miguel Ángel Fernández Torres, Hiba Najjar, Dario Oliveira, @zeynepakata.bsky.social , Andreas Dengel, and Xiaoxiang Zhu.

It provides an in-depth introduction to #explainableAI and summarizes its usage, objectives, challenges, and limitations for #remotesensing. As such, it represents a valuable introduction to newcomers in the field and can help researchers to identify promising research directions.

Curious about the recent trends, key challenges, and novel research directions in #explainableAI for #remotesensing?
Then check our review paper "Opening the Black Box: A Systematic Review on Explainable Artificial Intelligence in Remote Sensing" (lnkd.in/et9dvHpZ) published at the IEEE #GRSM.