Tropical Geography

Aboveground Biomass Inversion of Mangrove in Dongzhai Harbor Based on Semi-Supervised Coregression

Yan Song, Qi Shi, Yarong Zou, Junde Xie

Tropical Geography, 2026, 46(2): 303-316. DOI: 10.13284/j.cnki.rddl.20250272

Table 5 Accuracy results of each feature combination

Other figure/table from this article

Fig.1 Overview of the study area
Table 1 Measurement standards for different mangrove species types
Table 2 The allometric growth equations for different mangrove specie
Fig.2 Methodology flowchart
Table 3 Vegetation index and texture features
Table 4 Accuracy results of each regression model
Fig.3 Bar chart of feature variable importance
Fig.4 Cumulative curve of feature importance in collaborative regression
Fig.5 Scatter plots illustrating the correlation of aboveground biomass inversion for semi-supervised COREG regression
Table 6 Comparison of the accuracy of semi-supervised COREG and fully-supervised regression
Fig.6 Spatial distribution of mangrove aboveground biomass in Dongzhai Harbor
Fig.7 $ {R}^{2} $ for varying numbers of training sample points
Fig.8 The number of pseudo-labeled samples for varying numbers of training sample points
Table 7 The sample distribution situation in random forest regression 个
Table 8 The sample distribution situation in semi-supervised COREG 个