VALIDATION OF "AW3D" GLOBAL DSM GENERATED FROM ALOS PRISM
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 observ...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-4/25/2016/isprs-annals-III-4-25-2016.pdf |
Summary: | 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). |
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ISSN: | 2194-9042 2194-9050 |