Abstract:

Calculating forest carbon storage is an important technology for China to achieve the goals of carbon dioxide peaking and carbon neutrality in the context of global warming.At present,conventional forest carbon storage accounting primarily adopts measuring standing trees in sample plots,which is less efficient and more costly in terms of labor.Meanwhile,there are problems such as the low accuracy of forest canopy data measurement.To address this issue,this study constructed a set of mathematical models based on the volume V of the canopy oblique photography model of Eucalyptus trees in Guangxi to predict their carbon storage T through experiments and data analysis.This was done using the oblique photogrammetry technology of unmanned aerial vehicles,as well as mathematical and statistical methods.Also,it takes reference to the relevant standards set by the forestry department and local authorities.It verified that experimental validation and regression analysis showed that the goodness-of-fit threshold R² of this model reached 0.889 6,and the model can provide support for the investigation of eucalyptus forest carbon storagein Guangxi.At the same time,the methods and techniques in this study can also be appliedas a reference for constructing oblique photography carbon storage measurement models for other tree species.

Key words: carbon storage accounting, Eucalyptus canopy, UAV remote sensing, oblique photography, carbon sink modeling