Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data

no code implementations • 20 Nov 2023 • Man Chen, Wenquan Dong, Hao Yu, Iain Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard

Consequently, we proposed a novel deep learning framework termed the multi-modal attention remote sensing network (MARSNet) to estimate forest dominant height by extrapolating dominant height derived from GEDI, using Setinel-1 data, ALOS-2 PALSAR-2 data, Sentinel-2 optical data and ancillary data.

Earth Observation Multimodal Deep Learning