From Geoscience Australia

Report on the Analysis of the Asia Pacific Regional Geodetic Project (APRGP) GPS Campaign 2018

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Created 14/01/2025

Updated 14/01/2025

The annual Asia Pacific Regional Geodetic Project (APRGP) GPS campaign is an activity of the Geodetic Reference Frame Working Group (WG) of the Regional Committee of United Nations Global Geospatial Information Management for Asia and the Pacific (UN-GGIM-AP). This document describes the data analysis of the APRGP GPS campaign undertaken between the 16th and 22nd of September 2018. Campaign GPS data collected at 101 sites in ten countries across the Asia Pacific region were processed using version 5.2 of the Bernese GNSS Software in a regional network together with selected IGS (International GNSS Service) sites. The GPS solution was constrained to the ITRF2014 reference frame by adopting IGS14 coordinates on selected IGS reference sites and using the final IGS earth orientation parameters and satellite ephemerides products. The average of the root mean square repeatability of the station coordinates for the campaign was 1.8 mm, 1.6 mm and 5.4 mm in north, east and up components of station position respectively.

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Field Value
Title Report on the Analysis of the Asia Pacific Regional Geodetic Project (APRGP) GPS Campaign 2018
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/9f615104-8b52-4b15-b72f-18ecd4487cac
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 08/04/2019
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Report on the Analysis of the Asia Pacific Regional Geodetic Project (APRGP) GPS Campaign 2018". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/report-on-the-analysis-of-the-asia-pacific-regional-geodetic-project-aprgp-gps-campaign-2018

No duplicate datasets found.