Urban Farm DB
Research catalogue
Database research record2012·South Korea

Forecast of Land use Change for Efficient Development of Urban-Agricultural city

Se-Kun Kim, Seung-Hee Han

Journal of Korean Society for Geospatial Information Science

Urban Farm DB summary

In Kimje-si, South Korea, land use changes were analyzed and future changes beyond 2030 were forecasted using LANDSAT TM imagery, HSB transformation, and a Markov Chain method with GIS data. Geographical features were found to have the greatest influence on land use changes, with 21.67% of mountain lands predicted to become farmland and 13.11% to become city areas.