27 citations · 41 across the 8 of their papers we have counts for
8 papers
Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation
Ritu Yadav, Andrea Nascetti, Yifang Ban
Earth Observation regression tasks such as building height, canopy height, and above-ground biomass estimation underpin critical applications in urban planning, forest monitoring,…
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.…
A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series
Ritu Yadav, Andrea Nascetti, Yifang Ban
Accurate estimation of building heights is essential for urban planning, infrastructure management, and environmental analysis. In this study, we propose a supervised Multimodal Bu…
Context-Aware Change Detection With Semi-Supervised Learning
Ritu Yadav, Andrea Nascetti, Yifang Ban
Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas. While data sources like Sentinel-2 provide rich optical i…
Unsupervised Flood Detection on SAR Time Series
Ritu Yadav, Andrea Nascetti, Hossein Azizpour +1
Human civilization has an increasingly powerful influence on the earth system. Affected by climate change and land-use change, natural disasters such as flooding have been increasi…
Building Change Detection using Multi-Temporal Airborne LiDAR Data
Ritu Yadav, Andrea Nascetti, Yifang Ban
Building change detection is essential for monitoring urbanization, disaster assessment, urban planning and frequently updating the maps. 3D structure information from airborne lig…
Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data
Ritu Yadav, Andrea Nascetti, Yifang Ban
Due to climate and land-use change, natural disasters such as flooding have been increasing in recent years. Timely and reliable flood detection and mapping can help emergency resp…
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
Ritu Yadav, Axel Vierling, Karsten Berns
This paper presents two variations of architecture referred to as RANet and BIRANet. The proposed architecture aims to use radar signal data along with RGB camera images to form a…