GF-1 WFV与Landsat-8 OLI和Sentinel-2A MSI遥感图像光谱信息转换研究

发布时间：2018-03-20 06:32

本文选题：GF-　切入点：Landsat-　出处：《华东师范大学学报(自然科学版)》2017年06期 　论文类型：期刊论文

【摘要】：地表环境的宏观动态监测研究中,受卫星回归周期及天气的影响,单颗卫星难以获取长期、连续的光学遥感数据,因此,定量分析多平台遥感数据的光谱信息关系是十分必要的.本研究基于两组同日过境的无云卫星影像(GF-1与Landsat-8和Sentinel-2A),结合地面调查数据,进行了不同传感器影像间对应波段的光谱信息对比,并通过统计回归分析获得了两组卫星对应波段(蓝、绿、红和近红外)的反射率转换方程.研究结果显示,GF-1与Landsat-8和GF-1与Sentinel-2A对应波段的反射率都具有很强的相关性,得到的转换方程能够对上述三种卫星数据间对应波段的光谱信息实现高精度的转换.本研究能够实现同日多光谱遥感数据的光谱信息转换及协同应用,并为区域资源环境的长期定量遥感监测提供技术支持.
[Abstract]:In the study of macroscopic dynamic monitoring of the surface environment, it is difficult for a single satellite to obtain long-term and continuous optical remote sensing data due to the influence of satellite regression period and weather. It is necessary to quantitatively analyze the spectral information relationship of multi-platform remote sensing data. This study is based on two sets of cloud-free satellite images in transit on the same day, namely, GF-1, Landsat-8 and Sentinel-2AU, combined with ground survey data. The spectral information of the corresponding bands of different sensor images was compared, and two groups of satellite corresponding bands (blue, green, green) were obtained by statistical regression analysis. The reflectivity transformation equation of red and near infrared). The results show that the reflectivity of GF-1 is highly correlated with that of Landsat-8 and GF-1 and Sentinel-2A. The conversion equation can achieve high precision conversion of spectral information of the corresponding bands between the above three satellite data. In this study, the spectral information conversion of multispectral remote sensing data on the same day and its cooperative application can be realized. It also provides technical support for long-term quantitative remote sensing monitoring of regional resources and environment.
【作者单位】：华东师范大学地理信息科学教育部重点实验室;华东师范大学地理科学学院;
【基金】：国家自然科学基金(41571410) 上海市自然科学基金(15ZR1411800)
【分类号】：TP751

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