1.中国科学院遥感应用研究所,北京100101; 2.中国科学院研究生院,北京100049;
3.Department of Geography,University of Maryland,College Park,MD 20742, USA
RESEARCHES ON THE DIGITAL ELEVATION MODEL
EXTRACTION METHOD BASED ON ALOS PALSAR DATA
NI Wen-jian 1,2, GUO Zhi-feng 1, SUN Guo-qing 3
1.Institute of Remote Sensing Application,Chinese Academy of Science,Beijing 100101,China;
2.Graduate School of Chinese Acadermy of Science,Beijing 100049,China;
3.Department of Geography,University of Maryland,College Park,MD 20742, USA
In the past decades, researchers have successfully rebuilt the digital elevation model (DEM) using such Interferometric synthetic aperture radar data (InSAR) as SIR-C/X SAR and ERS1/2. As a new generation of synthetic aperture radar, Phased Array type L-band Synthetic Aperture Radar (PALSAR) , which is onboard Advanced Land Observing Satellite (ALOS), works at a longer wave length-L band. Its penetrating depth is deeper than the radars that work at C band. Thus it has advantages in the construction of DEM. However, there have been few reports about the DEM extraction from this technology. The open source program-package ROI_PAC version3.0 provided by NASA/JPL can be used to rebuild DEM from PALSAR Level 1.0 data that is not calibrated. Therefore, ROI_PAC version 3.0 was modified in this study to make it rebuild DEM from PALSAR Level 1.1 data. The workflow of ROI_PAC was described. The method introduced in this paper was validated by a set of PALSAR Level 1.1 data. A comparison between InSAR DEM and reference DEM was made. The difference between them is 0.27 m, with a standard deviation of 9.24 m. There are more than 80% pixels having height errors within 10 m. The results show that the method proposed in this study is useful.
倪文俭, 过志峰, 孙国清. 基于PALSAR数据的DEM提取方法研究[J]. 国土资源遥感, 2009, 21(3): 19-23.
NI Wen-Jian, GUO Zhi-Feng, SUN Guo-Qing. RESEARCHES ON THE DIGITAL ELEVATION MODEL
EXTRACTION METHOD BASED ON ALOS PALSAR DATA. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(3): 19-23.