Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai

Spring (12 May) emerges as the optimal phenological phase for distinguishing between Quercus acutissima and Robinia pseudoacacia on Mount Taishan, with recognition accuracy reaching 89.25%—significantly higher than in autumn or winter. The study leveraged multispectral imagery from Ziyuan-1 02C and Ziyuan-3 satellites, applying Support Vector Machine (SVM) and Maximum Likelihood models to analyze spectral differences across three phases. Band 4 proved the most sensitive for species recognition, while SVM outperformed MLE, achieving up to 93.59% accuracy for Q. acutissima and 85.44% for R. pseudoacacia when using sensitive spectral indices. These findings advance precision in remote-sensing forest monitoring, offering critical insights for UNESCO World Heritage Site management on Mount Taishan.

Liu, X., Wang, L., Li, L., Zhu, X., Chang, C., & Lan, H. (2022). Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai. Forests, 13(5), 813. https://doi.org/10.3390/f13050813