南京林业大学学报（自然科学版）2017，Vol.41Issue(5)：57-64,8.DOI:10.3969/j.issn.1000-2006.201608018
基于遥感的城市化进程监测方法及其应用
Monitoring methods and application of urbanization processes based on remote sensing
摘要
Abstract
[Objective]To explore the accuracy of classification of different models and the urbanization process of Nan?jing during 2001-2015, we used Landsat 5 TM imagery acquired in 2006 and 2010, Landsat 7 ETM+imagery acquired in 2001, and Landsat 8 OLI imagery acquired in 2015, covering Nanjing City.[Method]We computed the modified nor?malized difference water index ( MNDWI) to mask out water bodies within the study area, followed by the extraction of the built?up areas and non?built?up classes via five urban index models ( UI, the urban index; NDBI, the normalized difference built?up index; IBI, the index?based built?up index; VrNIR?BI, the visible red?based built?up index; and VgNIR?BI, the visible green?based built?up index) based on a maximum inter?class difference algorithm derived from the Landsat images. [Results]The validation results indicated that the accuracy of all models was over 64.33%. Among all six models, UI and NDBI had higher overall mapping accuracy, and their overall accuracy was among the highest (8500% and 82.60%) in 2010, and the lowest (69.67% and 72.00%) in 2001, respectively. By calculating the in?crement of built?up area from these two indices, the urbanization degree calculated from UI increased from 11. 55% in 2001 to 2050% in 2015, whereas the urbanization degree derived from NDBI increased from 17. 66% in 2001, to 2560% in 2015. [Conclusion]Furthermore, without considering Gaochun and Lishui Districts, the top four districts in urbanization processes of UI and NDBI were Jiangning, Luhe, Pukou, and Qixia.关键词
城市化进程/城市指数模型/不透水层/最大类间方差法/Landsat/南京Key words
urbanization process/urban index model/urbanization/maximum inter⁃class difference algorithm/Landsat/Nanjing分类
天文与地球科学引用本文复制引用
王璟睿,张玲玲,李明诗,沈文娟..基于遥感的城市化进程监测方法及其应用[J].南京林业大学学报（自然科学版）,2017,41(5):57-64,8.基金项目
国家林业局"948"项目(2014-04-25) （2014-04-25）
江苏高校品牌专业建设工程资助项目(PPZY2015A062) （PPZY2015A062）
国家自然科学基金项目(31270587,31670552) （31270587,31670552）
江苏高校优势学科建设工程资助项目(PAPD) （PAPD）
江苏省高校研究生科研创新计划项目(KYLX15_0908) （KYLX15_0908）
