most citedPANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data

Ali Shibli, Andrea Nascetti, Yifang Ban

Wildfire burned-area mapping is essential for damage assessment, emissions modeling, and understanding fire-climate interactions across diverse ecological regions. Recent geospatia…

cs.CV2026

Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection

Ali Shibli, Andrea Nascetti, Yifang Ban

Semantic segmentation and change detection are two fundamental challenges in remote sensing, requiring models to capture either spatial semantics or temporal differences from satel…

cs.CV2024★ 6 cited

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

Valerio Marsocci, Yuru Jia, Georges Le Bellier +12

Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow.…

cs.NI2024

Data-Driven Radio Environment Map Estimation Using Graph Neural Networks

Ali Shibli, Tahar Zanouda

Radio Environment Maps (REMs) are crucial for numerous applications in Telecom. The construction of accurate Radio Environment Maps (REMs) has become an important and challenging t…

cs.LG2024

Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data

Ali Shibli, Tahar Zanouda

Accurate estimation of Network Performance is crucial for several tasks in telecom networks. Telecom networks regularly serve a vast number of radio nodes. Each radio node provides…