1. Phan Truong Khanh - University of An Giang - Vietnam National University, Ho Chi Minh City, Vietnam.
2. Lêthi Cam Tien - University of An Giang - Vietnam National University, Ho Chi Minh City, Vietnam.
3. Tran Thi Hong ngoc - University of An Giang - Vietnam National University, Ho Chi Minh City, Vietnam.
In this study, multi-temporal satellite data were used to quantify forest cover and land cover changes in the GaoGiong Park, Dong Thap province, Vietnam during 2006-2020. Four Landsat 8 satellite images were used for 2006, 2010, 2015, 2020 were taken for comparison. Normalized Difference Vegetation Index (NDVI) in combination with unsupervised classification was used. The study determined that the total area of the study area was 1,4883.33 ha in 2020ha, of whichM.cajuputi> 9years, 6-9years old and < 6 years are 1,275.47; 144ha; 55.09 harespectively; bare land and water area are 0.01 ha and 8.36 ha, with an overall accuracy of 84.83%and a kappa coefficient of 0.81.During the period of 2006 to 2020, the area of bare soil, water surface not changed significantly.The area of M. cajuputi>9years and <6years in 2020 increased slightly by 12.05% and 2,26% respectively, and the area of M. cajuputi (6-9 years) decreased by 14.39%compared to 2006. It can be seen that multi-temporal Landsat images with a 30 m spatial resolution can be used for the assessment of vegetation coverage changes with guaranteed results.
Landsat, Remote sensing, Gao Giong, NDVI