Hybrid Machine Learning Model for Forest Height Estimation from TanDEM-X and Landsat Data
Researchers have developed a hybrid machine learning model that improves forest height estimation by integrating data from TanDEM-X and Landsat satellites. This enhanced model incorporates optical Landsat data to provide complementary information on forest structure, addressing ambiguities present in earlier models that relied solely on TanDEM-X interferometric coherence. Validation over Gabon's Lopé National Park demonstrated a significant reduction in errors, with RMSE decreasing by 13.5% and MAE by 16.6% compared to the original approach. AI
IMPACT Enhances remote sensing capabilities for environmental monitoring and resource management.