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

6 citations · 6 across the 4 of their papers we have counts for

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cs.CV20246 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.CV20241 cited

Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration

Sebastian Hafner, Heng Fang, Hossein Azizpour +1

Urbanization advances at unprecedented rates, leading to negative environmental and societal impacts. Remote sensing can help mitigate these effects by supporting sustainable devel…

cs.CV2023

Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly Missing Optical Modality

Sebastian Hafner, Yifang Ban

This paper proposes a novel multi-temporal urban mapping approach using multi-modal satellite data from the Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral I…

cs.CV2023

Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping

Sebastian Hafner, Yifang Ban, Andrea Nascetti

Accurate urban maps provide essential information to support sustainable urban development. Recent urban mapping methods use multi-modal deep neural networks to fuse Synthetic Aper…

cs.CV2023

Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda

Sebastian Hafner, Stefanos Georganos, Theodomir Mugiraneza +1

To better understand current trends of urban population growth in Sub-Saharan Africa, high-quality spatiotemporal population estimates are necessary. While the joint use of remote…