ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-4, 25-31, 2016
03 Jun 2016
Junichi Takaku1, Takeo Tadono2, Ken Tsutsui3, and Mayumi Ichikawa3 1Remote Sensing Technology Center of Japan, Tokyu REIT Toranomon BLDG 3F, 3-17-1 Minato-ku Tokyo, Japan
2Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba, Ibaraki, Japan
3NTT DATA Corporation, 3-3-9 Toyosu, Koto-ku, Tokyo, Japan
Keywords: Three-Line, Stereoscopic, Satellite, Optical, High resolution, DEM/DTM Abstract. Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), one of onboard sensors carried by Advanced Land Observing Satellite (ALOS), was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation which views forward, nadir, and backward along the satellite track in 2.5 m ground resolution, and collected its derived images all over the world during the mission life of the satellite from 2006 through 2011. A new project, which generates global elevation datasets with the image archives, was started in 2014. The data is processed in unprecedented 5 m grid spacing utilizing the original triplet stereo images in 2.5 m resolution. As the number of processed data is growing steadily so that the global land areas are almost covered, a trend of global data qualities became apparent. This paper reports on up-to-date results of the validations for the accuracy of data products as well as the status of data coverage in global areas. The accuracies and error characteristics of datasets are analyzed by the comparison with existing global datasets such as Ice, Cloud, and land Elevation Satellite (ICESat) data, as well as ground control points (GCPs) and the reference Digital Elevation Model (DEM) derived from the airborne Light Detection and Ranging (LiDAR).
Conference paper (PDF, 2227 KB)

Citation: Takaku, J., Tadono, T., Tsutsui, K., and Ichikawa, M.: VALIDATION OF "AW3D" GLOBAL DSM GENERATED FROM ALOS PRISM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-4, 25-31, doi:10.5194/isprs-annals-III-4-25-2016, 2016.

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