3 papers
cs.CV2025
Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
Zhenyu Yu, Jinnian Wang, Mohd Yamani Idna Idris
The forest serves as the most significant terrestrial carbon stock mechanism, effectively reducing atmospheric CO2 concentrations and mitigating climate change. Remote sensing prov…
cs.CV2025
Estimating forest carbon stocks from high-resolution remote sensing imagery by reducing domain shift with style transfer
Zhenyu Yu, Jinnian Wang
Forests function as crucial carbon reservoirs on land, and their carbon sinks can efficiently reduce atmospheric CO2 concentrations and mitigate climate change. Currently, the over…
cs.CV2025
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model
Zhenyu Yu, Jinnian Wang
Forest is the most significant land-based carbon storage mechanism. The forest carbon sink can effectively decrease the atmospheric CO2 concentration and mitigate climate change. R…