Abstract

Abstract. Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), one of onboard sensors carried on the Advanced Land Observing Satellite (ALOS), was designed to generate worldwide topographic data with its optical stereoscopic observation. The sensor consists of three independent panchromatic radiometers for viewing forward, nadir, and backward in 2.5 m ground resolution producing a triplet stereoscopic image along its track. The sensor had observed huge amount of stereo images all over the world during the mission life of the satellite from 2006 through 2011. We have semi-automatically processed Digital Surface Model (DSM) data with the image archives in some limited areas. The height accuracy of the dataset was estimated at less than 5 m (rms) from the evaluation with ground control points (GCPs) or reference DSMs derived from the Light Detection and Ranging (LiDAR). Then, we decided to process the global DSM datasets from all available archives of PRISM stereo images by the end of March 2016. This paper briefly reports on the latest processing algorithms for the global DSM datasets as well as their preliminary results on some test sites. The accuracies and error characteristics of datasets are analyzed and discussed on various fields by the comparison with existing global datasets such as Ice, Cloud, and land Elevation Satellite (ICESat) data and Shuttle Radar Topography Mission (SRTM) data, as well as the GCPs and the reference airborne LiDAR/DSM.

Highlights

  • The elevation data which represent the terrain on the ground is one of fundamental layers in the field of geographic information systems

  • The global elevation data derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER/GDEM) is one of the datasets generated with the optical technique and was released in 2009 first

  • This paper briefly reports on the latest algorithms for the fullautomatic processing of global Digital Surface Model (DSM) datasets with preliminary results on some test sites

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Summary

INTRODUCTION

The elevation data which represent the terrain on the ground is one of fundamental layers in the field of geographic information systems. The global elevation data derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER/GDEM) is one of the datasets generated with the optical technique and was released in 2009 first It has the height accuracy of 13 m (1 ) in 1 arcsec (30 m) pixel spacing (Tachikawa et al, 2011). Though the satellite already ended its mission life it left us huge amount of stereo images all over the world (Takaku et al 2013) To utilize all these archive data we proceed to generate new global elevation datasets, named ‘ALOS World 3D’, which have finer ground resolution and higher accuracy than those existing ones. The accuracies and error characteristics of datasets are analyzed on various fields by the comparison with existing global datasets such as ICESat point data and SRTM data, as well as the comparison with Ground Control Points (GCPs) and a reference airborne LiDAR/DSM.

DATA PROCESSING
Scene data processing
Tile data processing
VALIDATION
ICESat
CONCLUSIONS
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