An improved implicit diffusion model with knowledge-distilled VGG features estimates forest carbon density maps from GF-1 imagery with an RMSE of 28.68, beating regression and other generative models in a single study area.
&Chirici, G.(2019).Species distributionmodelling tosupportforest management.A literaturereview.EcologicalModelling,411,108817
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model
An improved implicit diffusion model with knowledge-distilled VGG features estimates forest carbon density maps from GF-1 imagery with an RMSE of 28.68, beating regression and other generative models in a single study area.