Land-use Dynamics of Shihmen Reservoir Catchment using Photogrammetry and Markov Model

This study aims to assess the land-use dynamics of Shihmen reservoir catchment using photogrammetry and Markov model. The objective was to investigate the effects of human development on landslide. First, ERDAS Leica Photogrammetric Suite (LPS) and GeographicInformation System (GIS) were used to interpret the land-use types, and further to examine the land-use changes during 2004 to 2007. A transition probability matrix was then calculated to realize the dynamic relationship between human development and landslide. Finally, the Markov model was developed based on current land status for simulating the future land use changes. The results showed that the study area was classified into five land-use types (i.e., forest, human development, road, water, and landslide). Both human development and landslide areas revealed an increasing trend during 2004 to 2007. The result of transition analysis pointed out that human development has the most conversion into landslide as comparing with other land types. The simulation of future land-use change using the Markov model showed that, the occurrence of landslides in the Shihmen reservoir catchment would be increased based on the current land dynamic.