Author

J. Fonseca

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Open access Oct 2026

Biomass Prediction Combining Radar, Multispectral and Field Inventory Data

Information on forest biomass is crucial for a better management and understanding of wildfires effects (pre- and post-fire analyses), as well as for a more accurate monitoring of carbon cycle dynamics. The current literature adopts two main approaches for the retrieving of biomass values: 1) predicting the biomass thr...

João E. Pereira-Pires, J. Guerra-Hernández, Amal Anil-Lathika et al. · The International Archives o... · 0 citations

Open access Oct 2026

Edge-Aware Remote Sensing Image Super-Resolution via Kolmogorov–Arnold Networks

Remote sensing image super-resolution aims to reconstruct high-quality spatial details from low-resolution observations, which is essential for land-cover interpretation, object detection, and downstream geospatial analysis. However, existing convolutional neural network (CNN)- and Transformer-based methods may struggl...

Shuai Liu, J. Fonseca, André Mora · Remote Sensing · 0 citations

Open access Jul 2026

A modelling framework to estimate canopy height at local scale using optical and radar images paired with GEDI measurements in Mediterranean-like landscapes

This experiment was able to demonstrate three key points: the importance of including InSAR in the optical/SAR synergy; the reduced impact of collocating GEDI footprints at the track level; and the benefits of increasing GEDI-footprint coverage using multi-year data are hindered by temporal variation effects.

João E. Pereira-Pires, J. Guerra-Hernández, Adrián Pascual et al. · International Journal of Dig... · 0 citations