Open AccessIntegration of GIS and Markov chain model for land use change assessment: A case study in the upstream Ba river basin, Gia Lai province
Author(s) -
Huyen Nguyen
Publication year - 2021
Publication title -
the journal of agriculture and development/the journal of agriculture and develoment/nông nghiệp và phát triển
Language(s) - English
Resource type - Journals
eISSN - 2615-949X
pISSN - 2615-9503
DOI - 10.52997/jad.8.04.2021
Subject(s) - land use , land use, land use change and forestry , upstream (networking) , environmental science , water resource management , land use planning , geography , drainage basin , land information system , agricultural land , hydrology (agriculture) , land development , structural basin , geographic information system , agriculture , remote sensing , land management , cartography , ecology , computer network , paleontology , geotechnical engineering , computer science , biology , archaeology , engineering
Ba river is the biggest river system in the South-Central Coast of Vietnam and plays a significant role in the socio-economic development of the region. Recently, land-use changes in Gia Lai province have been significantly transformed. Hence, to provide the information for land-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 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 and aquacultural land (57.5%) was converted into the other land-use types. Between 2020 and 2015, unused land decreased while the surface water and aquacultural land increased. The forest land accounted for a significant area (51.16%) during the 2015 - 2020 period. In addition, the driving forces leading to these changes were also analyzed, providing a more comprehensive of land-use change in the study area. In general, GIS and Markov were suitable for assessing land-use change. This study outcomes provide a general framework for land-use planning in Gia Lai province.