Table 2. Feature selection results based on the Boruta algorithm. 3.3. Modeling Method Commonly used machine learning models, random forest regression (RFR), support vector regression (SVR), gradient boosting decision tree (GBDT), and K-nearest neighbor (KNN) were employed for alfalfa AGB estima...
(ii) The stacking model consistently outperformed RFR, GBDT, KNN, and SVR regression models across all feature fusion combinations. It achieved high accuracy with R2of 0.86–0.88, RMSE of 80.06–86.87 g/m2, and MAE of 60.24–62.69 g/m2. Notably, the stacking model based on only RGB ...
SBAS is a post-processing algorithm designed to generate deformation velocity maps and displacement time series by using standard multi-look DInSAR interferograms. According to the relevant literature [26,27,28], we here provide a simplified basic theory of SBAS to facilitate a preliminary understandi...