A dataset of impervious surface in Sanya City from 2004 to 2015

Impervious surface is one of the most basic components of a city which has a significant impact on urban ecological environment and regional development. Remote sensing has been widely used in impervious surface research in recent years due to its fast, large-scale, multi-scale and reproducible ground observation advantages. Taking Sanya city as the research area, this study selected and collected the Landsat series remote sensing image data of 2004, 2008, 2011, 2013 and 2015 in this area. A method combining BCI index and BI index is proposed to extract the impervious surface information in the study area. Based on this method, the impervious surface distribution maps of the five phases of Sanya City in 2004, 2008, 2011, 2013 and 2015 were obtained. Precision verification using Google Earth images which have high accuracy. It was concluded that this method is operability, simple and easy operation,the highest precision is over 90%. This dataset can provide reference for the rational planning of “sponge city” in Hainan Province or other provinces and cities.

不透水面（impervious surface）是城市最基础的组成要素之一，对城市生态环境与区域发展具有显著影响。近年来，遥感（remote sensing）凭借其观测速度快、覆盖范围广、多尺度适配性强且可重复观测的优势，被广泛应用于不透水面相关研究中。本研究以三亚市为研究区域，收集并选取了该区域2004、2008、2011、2013及2015年的Landsat系列遥感影像数据，提出一种结合BCI指数与BI指数的方法以提取研究区内的不透水面信息。基于该方法，本研究生成了2004、2008、2011、2013及2015年五个时期三亚市的不透水面空间分布图。本研究采用高精度的谷歌地球（Google Earth）影像对提取结果开展精度验证，结果表明该方法可操作性强、操作简便，最高提取精度可达90%以上。本数据集可为海南省乃至全国其他省市的“海绵城市”合理规划提供参考依据。