tailieunhanh - Tích hợp GIS và chuỗi Markov trong phân tích động thái thay đổi sử dụng đất: Trường hợp nghiên cứu tại thượng nguồn lưu vực sông Ba, tỉnh Gia Lai

GIS và chuỗi Markov phù hợp cho đánh giá thay đổi sử dụng đất và kết quả của đề tài hữu ích trong việc cung cấp cơ sở cho việc quy hoạch sử dụng đất tỉnh Gia Lai. | Trường Đại học Nông Lâm TP. Hồ Chí Minh 69 Integration of GIS and Markov chain model for land use change assessment A case study in the upstream Ba river basin Gia Lai province Hai M. Le1 2 Tu H. Le3 Dung M. Ho2 Nghia T. Nguyen3 Ha T. Phan3 Phuong N. D. Dang3 Loi K. Nguyen3 amp Huyen T. Nguyen4 1 Department of Science and Technology Gia Lai Province Vietnam 2 Institute Of Environment and Resources Vietnam National University Ho Chi Minh City Vietnam 3 Research Center for Climate Change Nong Lam University Ho Chi Minh City Vietnam 4 Faculty of Environment and Natural Resources Nong Lam University Ho Chi Minh City Vietnam ARTICLE INFO ABSTRACT Research Paper Ba river is the biggest river system in the South-Central Coast of Viet- nam and plays a significant role in the socio-economic development of Received June 24 2021 the region. Recently land-use changes in Gia Lai province have been Revised July 23 2021 significantly transformed. Hence to provide the information for land- Accepted July 30 2021 use planning there is an urgent need for land-use change assessment in the upstream Ba river basin. This study employed the Markov chain coupled with GIS to assess land-use changes between 2010 - 2015 and Keywords 2015 - 2020 periods. The results showed that during the period 2010 - 2015 there was no significant conversion of agricultural and reserve forest land. Meanwhile a large proportion of unused 86 and water Ba river basin and aquacultural land was converted into the other land-use GIS types. Between 2020 and 2015 unused land decreased while the surface Land-use change water and aquacultural land increased. The forest land accounted for a Markov chain significant area during the 2015 - 2020 period. In addition the driving forces leading to these changes were also analyzed providing a Corresponding author more comprehensive of land-use change in the study area. In general GIS and Markov were suitable for assessing land-use change. This study Nguyen Thi .