Sentinel+Landsat融合影像的城市不透水面积参数获取

不透水面是衡量城市化的发展程度和评价城市生态环境质量的重要指标之一。南昌市作为环鄱阳湖生态经济圈的典型代表区域城市之一，准确、及时、高效地获取其不透水面信息对经济发展和生态规划提供全新的决策参考具有重大意义。现有的不透水面研究大多集中在针对单一光学遥感影像数据提取不透水面信息，但受影像数据源的影响，其分类结果往往存在光谱混淆和“椒盐”现象，限制了不透水面分类精度的进一步提高。为了改善这一局面，本文以南昌市为研究区，综合考虑多源遥感影像数据各自具有的影像特征优势，探究基于Sentinel+Landsat影像提取不透水面信息的适用性与优劣性。

Study on extraction impervious area of urban based on Sentinel+Landsat image

Impervious surface is one of the important indexes to measure the development degree of urbanization and evaluate the quality of urban ecological environment. Nanchang is one of the typical regional cities of Poyang Lake eco economic circle. It is of great significance to obtain the impervious surface information accurately, timely and efficiently for Nanchang to provide a new decision-making reference for its economic development and ecological planning. Most of the existing researches on impervious surface are focused on extracting impervious surface information from single optical remote sensing image data. However, due to the influence of image data sources, the classification results often have spectral confusion and "salt and pepper" phenomenon, which limits the further improvement of impervious surface classification accuracy. In order to improve this situation, this study takes Nanchang city as the research area, comprehensively considers the advantages of multi-source remote sensing image data, and explores the applicability, advantages and disadvantages of impervious surface information extraction based on Sentinel+Landsat image.