Abstract:

In order to quantitatively examine the patterns of land use changes and the strength and intensity of changes, this research developed a geographic information TUPU analytic method and a Markov model of space probability. With the support of ERDAS8.5 and ARC/INFO9.2 software, combined with a land use dynamic degree model and an integrated land use dynamic degree model, the author explored a series of varying TUPU of the land-use patterns utilizing the spatial data covering Suihua for 4 periods (1980, 1995, 2000 and 2010), and examined the changes of land-use pattern in Suihua through the TUPU. The farmland had a net increase of 346.4 km2 (exceeding 13% of the total study area), and most of farmland was converted from saline land, swamp land, forest land and grass land; unused land had a sharp reduction of 440.9 km2 and the swamp land had disappeared at the end of study period. The area of grass land had increased 12.1 km2. There had been a slight decrease in forest land, and the area of decrement was 11.4 km2. There had been a slight increase in construction land, and the area of increment was 29.7 km2. The results also indicated that significant changes had taken place on the land-use pattern in the study area during the past 31 years. The simplification of land use type became significant, the swamp land changed significantly in the centre section of study area. Urbanization and the integrated land use dynamic degree accelerated during the study period.