<ul><li>A study proposes an improved implicit diffusion model (IIDM) for estimating the spatial distribution density of carbon stock in remote sensing imagery.</li><li>The study utilizes GF-1 WFV satellite imagery to estimate carbon stock in Huize County, Qujing City, Yunnan Province, China.</li><li>The IIDM model demonstrates the highest estimation accuracy with an RMSE of 12.17%, outperforming other models by 41.69% to 42.33%.</li><li>The 16-meter resolution estimates can enhance regional carbon stock management and inform forest carbon sink regulations.</li></ul>

Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery

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