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Analysis of Urban Wetland Changes and their Driving forces Based on RS and GIS: a Case Study in the Longfeng Wetland Natural Reserve, China


Affiliations
1 College of Geodesy and Geomatics, Wuhan University, Hubei, China
2 College of Hydraulic and Electrical Engineering, Heilongjiang University, China
 

Spatial distribution characteristics and dynamic changes over 21 years in Longfeng wetland in Daqing city, China, were analysed using remote sensing and geographic information systems. Landsat TM images were used as the main data source. Based on geo-information image analysis theory, the spatiotemporal change of land use cover was obtained, and the spatial and temporal evolution mechanisms were revealed. This study provides a method to study the driving forces of urban wetland degeneration, and it could aid in developing protective measures for wetland in rapidly urbanizing regions. The results indicated that the swamp land composed the landscape matrix and exhibited a trend of decreasing area over time, whereas the built-up land exhibited an increasing trend. Cropland and wetland were the main sources of land-use change. The stable model accounted for the largest area, swamp-swamp-swamp was its largest area change mode. The repeated model accounted for the least area, as the cropland-unused land-cropland represented the largest area change in this model. Both natural factors and human activities have made an impact on wetland degeneration, but human activities were the main driving force for the spatiotemporal evolution of land use cover pattern.

Keywords

Urban Wetland, Geo-Information Image, Analysis Theory (GIAT), Urbanization Longfeng Wetland Natural Reserve.
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  • Analysis of Urban Wetland Changes and their Driving forces Based on RS and GIS: a Case Study in the Longfeng Wetland Natural Reserve, China

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Authors

Xuewei Wu
College of Geodesy and Geomatics, Wuhan University, Hubei, China
Wenfeng Gong
College of Hydraulic and Electrical Engineering, Heilongjiang University, China
Yaming Xu
College of Geodesy and Geomatics, Wuhan University, Hubei, China

Abstract


Spatial distribution characteristics and dynamic changes over 21 years in Longfeng wetland in Daqing city, China, were analysed using remote sensing and geographic information systems. Landsat TM images were used as the main data source. Based on geo-information image analysis theory, the spatiotemporal change of land use cover was obtained, and the spatial and temporal evolution mechanisms were revealed. This study provides a method to study the driving forces of urban wetland degeneration, and it could aid in developing protective measures for wetland in rapidly urbanizing regions. The results indicated that the swamp land composed the landscape matrix and exhibited a trend of decreasing area over time, whereas the built-up land exhibited an increasing trend. Cropland and wetland were the main sources of land-use change. The stable model accounted for the largest area, swamp-swamp-swamp was its largest area change mode. The repeated model accounted for the least area, as the cropland-unused land-cropland represented the largest area change in this model. Both natural factors and human activities have made an impact on wetland degeneration, but human activities were the main driving force for the spatiotemporal evolution of land use cover pattern.

Keywords


Urban Wetland, Geo-Information Image, Analysis Theory (GIAT), Urbanization Longfeng Wetland Natural Reserve.

References