Wetlands change simulation using cellular automata at multi-scales

Wetlands are extremely valuable natural resources, the simulation of wetland landscape spatial-temporal evolution can reveal the mechanisms and laws of landscape succession, achieve the sustainable landscape use and provide wetland conservation and management decision support. Thesis takes the inland freshwater wetlands in the Sanjiang Plain for experimental region, carries out experiment of wetland landscape changing process simulation using Cellular Automata, results show that visual effects of simulation and prediction are both good, and the total accuracy of points to points are also above 79% under each scale, which verifies the feasibility and effectiveness of wetland landscape spatial-temporal evolution simulation using Cellular Automata; scale has influence on transition rule mining, visual effects and accuracy of simulation results, and statistics of landscape index, then scale effect is obvious during wetland landscape spatial-temporal evolution simulation using Cellular Automata, accuracy and contagion index are both showed as exponential distribution with the scale rising, which provides reference for simulation scale selection.