Đánh giá hiệu quả ứng dụng ảnh Sentinel-1 và Sentinel-2 xác định mất rừng: Thí điểm khu vực huyện Đam Rông, tỉnh Lâm Đồng

Forest loss is a global challenge, impacting the earth's green lungs, and jeopardizing the habitats of various species.Therefore, monitoring forest loss is necessary to formulate strategic measures for forest protection in the future. of the paper utilizes NDVI, RFI, and NBCI indices calculated from Sentinel-1 and Sentinel-2 images to determine the extent of forest loss in 2021 compared to 2020.The NDVI index calculated from Sentinel-2 and the RFI index is calculated from the difference in backscatter values of forests for the VH polarization band in Sentinel-1 images.The NBCI index combines the NDVI with the VH band.The results indicate that the NBCI index achieves the highest accuracy in forest loss determination, reaching 79.53%.Meanwhile, the KB index -the difference between NDVI and RFI indices -achieves accuracies of 55.83% and 14.85% respectively.With the NBCI index, forest loss in the Dam Rong area is identified as 50.51 hectares.The effectiveness of combining Sentinel-1 and Sentinel-2 has provided guidance for managers towards a suitable solution in annual forest inventory.