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eess.SP2025
High-Resolution Forest Mapping from L-Band Interferometric SAR Time Series using Deep Learning over Northern Spain
Chiara Telli, Oleg Antropov, Anne Lönnqvist +1
In this study, we examine the potential of high-resolution forest mapping using L-band interferometric time series datasets and deep learning modeling. Our SAR data are represented…
eess.SP2023★ 2 cited
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images
Shaojia Ge, Oleg Antropov, Tuomas Häme +2
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth Observation images. However, in practical forest inventories, reference datasets are ofte…
eess.SP2022★ 8 cited
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
Shaojia Ge, Hong Gu, Weimin Su +2
Accurate mapping of forests is critical for forest management and carbon stocks monitoring. Deep learning is becoming more popular in Earth Observation (EO), however, the availabil…