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 7 The sample distribution situation in random forest regression 个

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
Table 5 Accuracy results of each feature combination
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 8 The sample distribution situation in semi-supervised COREG 个