3 citations · 9 across the 5 of their papers we have counts for
5 papers
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…
Serious errors impair an assessment of forest carbon projects: A rebuttal of West et al. (2023)
Edward T. A. Mitchard, Harry Carstairs, Riccardo Cosenza +8
Independent retrospective analyses of the effectiveness of reducing deforestation and forest degradation (REDD) projects are vital to ensure climate change benefits are being deliv…
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…
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…
Detecting Deforestation from Sentinel-1 Data in the Absence of Reliable Reference Data
Johannes N. Hansen, Edward T. A. Mitchard, Stuart King
Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and theref…