基于Sentinel-2A和Landsat8的城市不透水面的提取

doi:10.6046/gtzyyg.2020215

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摘要

城市不透水面相关研究对城市的发展至关重要。为了提取城市不透水面盖度,通常采用线性光谱混合分析方法,在亚像元尺度上计算混合像元内的不透水面面积比例。由于端元光谱曲线存在误差,导致不透水面盖度提取精度较低,因而提出端元优化方案,通过Sentinel-2A影像选择比较纯净的端元,利用其光谱信息优化从Landsat8影像中选择的端元的光谱曲线,提高纯净像元光谱曲线精度。此外,结合解混结果优化方案,利用归一化植被指数(normalized differential vegetation index,NDVI)和干旱裸土指数(dry bare-soil index,DBSI),对解混结果进行优化。采用WorldView-2遥感影像进行样本验证,结果显示,该方法所提取不透水面盖度的精度比传统方法提高了20%,为端元选取和不透水面提取提供可靠的理论支持。

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	许剑辉
	钟凯文
	赵怡
	许剑辉
	王云鹏
	钟凯文
	胡泓达
	王云鹏
	吴萍昊
	胡泓达
	吴萍昊

关键词 ：线性光谱混合分解, 不透水面, Sentinel-2A, 端元优化方案, 线性光谱混合分解, 不透水面

Abstract：

The extraction of impervious surface (IS) is very important for the development of cities, and linear spectral mixture analysis is commonly adopted to calculate the fraction of IS in the mixed pixel to improve the extraction of the urban IS at the subpixel scale. Owing to errors in the spectra of pure pixels selected from remote sensing images, incorrect fractions of different land cover types often emerge after unmixing. In this paper, the modified endmember selection was proposed to improve the accuracy of the spectral information of endmembers. Sentinel-2A images were applied to selected endmembers to get the spectral, which was used to modify the spectral information of the endmembers from Landsat8. In addition, the optimization scheme of LSMA results in which the normalized differential vegetation index (NDVI) and dry bare-soil index (DBSI) thresholds are used to optimize the mixing results was applied to improve the accuracy of LSMA results. With the WorldView-2 remote sensing image for sample verification, the results showed that the accuracy of IS fraction extracted by the method in this paper was 20% higher than that of the traditional method, providing reliable theoretical support for endmember selection and IS extraction.

Key words： Sentinel-2A modified endmember selection linear spectral mixture analysis impervious surface Sentinel-2A modified endmember selection linear spectral mixture analysis impervious surface

收稿日期: 2020-07-16 出版日期: 2021-07-21

ZTFLH:

TP79X87

基金资助:广东省科技计划项目“广东省自然资源科技协同创新中心”(2018B020207002);南方海洋科学与工程广东省实验室(广州重大专项团队项目“粤港澳大湾区海岸带生态环境大数据与分析”编号: GML2019ZD0301);广东省引进创新创业团队项目“地理空间智能技术研发与产业化”(2016ZT06D336);广东省科技计划项目“基于地震烈度速报的灾害损失评估系统研究与公共服务信息应用”(2019B020208013)

通讯作者: 钟凯文

作者简介: 赵怡(1992-),女,博士研究生,研究方向为城市环境遥感。Email: zhaoyiww@gdas.ac.cn。

引用本文:

赵怡, 许剑辉, 钟凯文, 王云鹏, 胡泓达, 吴萍昊. 基于Sentinel-2A和Landsat8的城市不透水面的提取[J]. 国土资源遥感, 2021, 33(2): 40-47.
ZHAO Yi, XU Jianhui, ZHONG Kaiwen, WANG Yunpeng, HU Hongda, WU Pinghao. Impervious surface extraction based on Sentinel-2A and Landsat8. Remote Sensing for Land & Resources, 2021, 33(2): 40-47.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2020215 或 https://www.gtzyyg.com/CN/Y2021/V33/I2/40

Fig.1 研究区Landsat8 B4(R),B3(G),B2(B)合成影像

Tab.1 Landsat8 OLI 和Sentinel-2A MSI 数据介绍

Fig.2 流程图

Fig.3 端元光谱曲线

Fig.4 不透水面盖度提取结果

Fig.5 线性拟合散点图

Tab.2 不同方法提取的城市不透水面盖度精度分析

Fig.6 不透水面盖度细节展示图

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