摘要
针对西北干旱地区城市不透水面提取存在的局限性以及阈值确定的繁琐性等问题,该文提出了一种新的增强型不透水面指数(ENDISI)。基于Landsat8_OLI影像,以兰州市建成区为例进行不透水面信息提取,总体精度达到88.5%,结果较为理想。相比于已有的不透水面指数,ENDISI可以有效避免西北干旱区沙土、裸露山体的影响,适用性更强;采用"0"作为提取不透水面的阈值,简单、客观并且提取精度高。综上表明,ENDISI可用于西北干旱地区城市不透水面信息的高效提取。
Since the existing impervious surface indexes had some limitations for extracting impervious surface in arid area of northwest China and the determining threshold is complex,an enhanced normalized difference impervious surface index（ENDISI）was proposed.Based on Landsat8_OLI image,the impervious surface information of urban built-up area of Lanzhou was extracted.The total accuracy reached 88.5%and the result was satisfactory.Compared to the existing impervious surface index,ENDISI is more suitable due to its ability of avoiding the effects of sandy soil and bare mountain in arid area of northwest China.Using ＂0＂as threshold for extracting impervious surface is simple and objective with higher accuracy.Overall,ENDISI can be used for efficient extraction of urban impervious surface information in arid area of northwest China.
出处
《测绘科学》
CSCD
北大核心
2018年第2期83-87,共5页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41471163)
甘肃省地理国情监测项目(GSGP-2014-23-34)
关键词
不透水面
指数
西北干旱区
兰州市
遥感提取
impervious surface
index
arid area of northwest China
Lanzhou city
remote sensing extraction
