中文摘要：

【目的】利用不同分类精度的指数模型分析南京2001—2015年的城市化进程。【方法】借助2001年Landsat7 ETM＋,2006、2010年Landsat5 TM及2015年Landsat8 OLI南京地区遥感影像数据,首先通过归一化差异水体指数（the modified normalized difference water index,MNDWI）提取水体信息,随后利用城市指数（the urban index,UI）、归一化建筑指数（the normalized difference built-up index,NDBI）、建筑指数（the index-based built-up index,IBI）、基于红光的建筑指数（the visible red-based built-up index,Vr NIR-BI）、基于绿光的建筑指数（the visible green-based built-up index,Vg NIR-BI）模型提取不透水层,结合最大类间差分法将影像分为建成区和非建成区两类,最后融合分类结果形成南京地区城市化专题地图。【结果】从验证结果来看,所有模型的总体精度均高于64.33%,其中UI、NDBI模型具有总体最高精度。UI模型精度最低69.67%（2001年）,最高85%（2010年）;NDBI模型精度最低72.00%（2001年）,最高82.60%（2010年）。在UI模型和NDBI模型下城市化发展水平,分别从2001年的11.55%和17.66%攀升至2015年的20.50%和25.60%。【结论】在精度最高的UI指数和NDBI指数模型下,南京市除高淳区和溧水区之外的各个行政区的建成区增量前4名分别是江宁区、六合区、浦口区和栖霞区。

英文摘要：

[ 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 80LI 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 buih-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 （85.00% 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 20. 50% in 2015, whereas the urbanization degree derived from NDBI increased from 17.66% in 2001, to 25. 60% 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.