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Wenquan Dong

5 papers hereh-index 430 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedForest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning

3 citations · 9 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024★ 2 cited

Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests in northeastern and southwestern China

Wenquan Dong, Edward T. A. Mitchard, Yuwei Chen +5

Large-scale high spatial resolution aboveground biomass (AGB) maps play a crucial role in determining forest carbon stocks and how they are changing, which is instrumental in under…

cs.CV2023★ 1 cited

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

Man Chen, Wenquan Dong, Hao Yu +5

The integration of multisource remote sensing data and deep learning models offers new possibilities for accurately mapping high spatial resolution forest height. We found that GED…

cs.CV2023★ 3 cited

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning

Wenquan Dong, Edward T. A. Mitchard, Hao Yu +2

Accurate quantification of forest aboveground biomass (AGB) is critical for understanding carbon accounting in the context of climate change. In this study, we presented a novel at…

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