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

 Taiwan is characterized by high mountains density, with over 200 peaks exceeding 3,000 meters in elevation. This study analyzes treeline changes in Xue Mountain using satellite images from 2012 and 2021. By applying machine learning methods, we found forest are growing higher, rising by 32.00 ± 4.00 m, and forest cover expanded by 10.09 hectares. These findings help us understand climate change impacts on mountain ecosystems and support sustainable conservation efforts.