5 November 2008 Assessments of Hangzhou urban growth near the Xixi wetland using remote sensing data
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Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71440W (2008) https://doi.org/10.1117/12.812726
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
This study has demonstrated that quantification of subpixel percent imperviousness over time provides a good estimate of urban LCLU change. Furthermore, the combination of Landsat satellite data and high-resolution Quickbird imagery provides the necessary spatial information needed to support subpixel impervious change detection. Subpixel percent imperviousness mapping also provides more information on the spatial extent and intensity of urban LCLU change. This approach provides considerable flexibility in capturing the heterogeneity of urban landcover characteristics. Quantification of urbanization through mapping impervious surface change provides useful data for urban dynamic simulation including model calibration and validation. Regrouped and categorized sub-pixel ISA data to remove uncertainties for a small portion of total ISA pixels was performed. After regrouped and categorized sub-pixel ISA data to remove uncertainties for a small portion of total ISA pixels, the model was used to simulate the historical development of impervious surfaces in the Hangzhou. After the calibration process, the best parameters that matched current and historical growth patterns were selected from different urban density change predictions. The model was then used to make analyze of impervious surface. The results showed lower density urban development to be widespread throughout the wetland, whereas much of the medium to high-density urban development have occurred in proximity to existing urban centers.
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Qian Cheng, Qian Cheng, } "Assessments of Hangzhou urban growth near the Xixi wetland using remote sensing data", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440W (5 November 2008); doi: 10.1117/12.812726; https://doi.org/10.1117/12.812726
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