USING LONG SHORT-TERM MEMORY MODEL FOR CLOUD FOREST VEGETATION GROWTH STATUS PREDICTION – A CASE STUDY IN SHEI-PA NATIONAL PARK

Taiwan has the world's highest density of high mountains, with over 200 peaks above 3,000 meters. This study analyzes treeline changes in Xue Mountain using satellite images from 2012 and 2021. By applying machine learning methods, we found trees are growing higher, rising by 14 meters, and forest cover expanded by 0.101 km². These findings help us understand climate change impacts on mountain ecosystems and support sustainable conservation efforts.