Taking Ji’nan as a case study area,this paper aims to analyze the land use changes from late 1980s to 2010 by using remote sensing data.The geographic information systems(GIS)method and land use transfer matrix metho...Taking Ji’nan as a case study area,this paper aims to analyze the land use changes from late 1980s to 2010 by using remote sensing data.The geographic information systems(GIS)method and land use transfer matrix methods were used to calculate the temporal and spatial differences of land use change.From the analysis of the land use transfer matrix,the most significant change is the cultivated land being transferred to construction land.From late 1980s to 2010,a total of 20615 hectares of cultivated land had been converted to construction land,accounting for 11.04%of the cultivated land in all.Through the analysis of the factors of land use transition,the human dimensions that had influenced the land use changes were population factor and economy factor.展开更多
By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji'nan City, Shandong Province were interpreted, and dynamic changes of landscape patte...By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji'nan City, Shandong Province were interpreted, and dynamic changes of landscape pattern in the district were analyzed at the levels of class and landscape. The results showed that during the 16 years the landscape pattern in the district had changed significantly. (a) From the perspective of patch category, areas of arable land, woodland and grassland decreased unceasingly, and arable land accounted for the largest reduction from 488.15 km 2 in 1993 down to 324.37 km 2 in 2009, witnessing a reduction rate of 33.56%. But the patch quantity and fragmentation increased, patch connectivity reduced. Spatial pattern of construction land expanded and its area witnessed a significant increase of 147.05%. Patch cohesion index increased and connectivity grew better. (b) From the perspective of overall landscape, patch quantity, contagion and perimeter-area fractal dimension decreased, patch shape became simple, the Shannon's diversity index, Shannon's evenness index and splitting index increased, landscape heterogeneity rose. With the rapid social and economic development, landscape pattern will be more and more influenced by human展开更多
基金supported by the Shandong Social Science Planning Fund Program(Grant No.20CJJJ04)。
文摘Taking Ji’nan as a case study area,this paper aims to analyze the land use changes from late 1980s to 2010 by using remote sensing data.The geographic information systems(GIS)method and land use transfer matrix methods were used to calculate the temporal and spatial differences of land use change.From the analysis of the land use transfer matrix,the most significant change is the cultivated land being transferred to construction land.From late 1980s to 2010,a total of 20615 hectares of cultivated land had been converted to construction land,accounting for 11.04%of the cultivated land in all.Through the analysis of the factors of land use transition,the human dimensions that had influenced the land use changes were population factor and economy factor.
文摘By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji'nan City, Shandong Province were interpreted, and dynamic changes of landscape pattern in the district were analyzed at the levels of class and landscape. The results showed that during the 16 years the landscape pattern in the district had changed significantly. (a) From the perspective of patch category, areas of arable land, woodland and grassland decreased unceasingly, and arable land accounted for the largest reduction from 488.15 km 2 in 1993 down to 324.37 km 2 in 2009, witnessing a reduction rate of 33.56%. But the patch quantity and fragmentation increased, patch connectivity reduced. Spatial pattern of construction land expanded and its area witnessed a significant increase of 147.05%. Patch cohesion index increased and connectivity grew better. (b) From the perspective of overall landscape, patch quantity, contagion and perimeter-area fractal dimension decreased, patch shape became simple, the Shannon's diversity index, Shannon's evenness index and splitting index increased, landscape heterogeneity rose. With the rapid social and economic development, landscape pattern will be more and more influenced by human