This study uses a combination method of the Change Spectral Vector Quantification technique and post-classification analysis to assess forest cover change in Ta Dung National Park, Dak Nong province using Sentinel-2 images from 2016 to 2024. The Change Spectral Vector Quantification method (also known as the Change Vector Analysis-CVA) is calculated based on changes in two indices: NDVI and BSI, which provide maps of change magnitude and direction. The forest change map was generated from classification results on the Google Earth Engine platform. It shows detailed replacements of forests with areas of perennial crops, barren land, or shrubs. The results of overlaying the change map the Change Vector component maps indicate that the transition areas from forest to perennial trees exhibit the most complex changes. These areas demonstrate medium to high-magnitude changes concentrated in direction II, characterized by NDVI decrease and an increase in BSI index. This trend is also reflected in areas that have transitioned from perennial crops to expended built-up land. Thus, the integration of these two analytical methods has provided a clear understanding of the nature and quantification of forest cover changes in Ta Dung National Park during the 2016-2024 period.
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