NSW Positioning Theme - NSW Survey Marks
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Access API NSW Positioning Theme - NSW Survey Marks Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionality. Please note that SCIMS Online is the official option for obtaining state control survey data for cadastral surveys as it offers legal traceability. SCIMS online is accessible via the Spatial portal. Metadata Portal Metadata Information Content TitleNSW Positioning Theme - NSW Survey MarksContent TypeHosted Feature LayerDescription The NSW Survey Marks web service is a dynamic map of permanent survey marks that constitute the state control survey. The positioning data under the NSW Foundation Spatial Data Framework (FSDF) is fed to the web service by the Survey Control Information Management System (SCIMS), the database that contains the single source of truth for all marks within the state control survey network. The web service provides a wealth of data on each mark, including:,
Global Positioning System Survey data for 2015, and Interferometric Synthetic Aperture Radar Data for 1995-2017, Coachella Valley, Riverside County, California
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GPS data collection: GPS measurements were taken at 24 geodetic monuments during September 27-October 2, 2015. The GPS surveys generally followed established guidelines (Zilkoski and others, 1997), except that the data were processed with single-baseline, rather than multi-baseline, software. GPS measurements were recorded at the monuments on at least 2 different days during 1-hour observation periods. Of the 24 geodetic monuments, 7 were network control stations—DUNE, COCH, DEEP, CAHU, PAIN, C101, and G70; GPS measurements were recorded at these seven stations on 3 additional days during 6.5-hour (or longer) observation periods. InSAR data collection: The data set consists of twenty-four individual interferograms and two stacked interferograms. Of the twenty-four individual interferograms, two interferograms were processed from synthetic aperture radar data acquired by the German Aerospace Center’s (DLR) TerraSAR-X satellite and twenty-two interferograms were processed from synthetic aperture radar data acquired by the European Space Agency’s (ESA) Sentinel-1A satellite. The two stacked interferograms were created by summing multiple individual interferograms. Radar data used to produce the interferograms shown in this report were obtained from the European Space Agency through their free and open data policy and the German Aerospace Center through research proposal GEO1609 for purposes of research and development.