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. Data results: Determining the ellipsoid heights of the 24 geodetic monuments in the network involved 2 phases of least-squares adjustments. During the first phase of least-squares adjustments, horizontal coordinates and ellipsoid heights of the seven Coachella Valley network control monuments were determined by processing the GPS measurements taken at these monuments with simultaneous measurements at three continuous Global Positioning System (CGPS) stations (DHLG, PIN1, and WIDC) and by using precise satellite orbital data and accurate coordinates of the CGPS stations provided by the International GPS Service (IGS) and Scripps Orbit and Permanent Array Center (SOPAC), respectively. During the second phase of least-squares adjustments, the 7 network control monuments were fixed at the positions determined during the first phase, and the horizontal coordinates and ellipsoid heights for the other 17 monuments were calculated. The expected uncertainty of the ellipsoid heights was ±20 mm (±0.07 ft) at the 95-percent confidence level, which was determined using the maximum ellipsoid-height difference computed from 95 percent of the repeatedly observed baselines used in the adjustment. Software used for the baseline and least-squares adjustment computations for the 2015 survey was Trimble Business Center 2.81. Zilkoski, D.B., D’Onofrio, J.D., and Frakes, S.J., 1997, Guidelines for establishing GPS-derived ellipsoid heights, (Standards: 2 cm and 5 cm) version 4.3: Silver Spring, Md., National Geodetic Survey, 10 p., 3 appendices.

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.

The Central Valley, and particularly the San Joaquin Valley, has a long history of land subsidence caused by groundwater development. The extensive withdrawal of groundwater from the unconsolidated deposits of the San Joaquin Valley lowered groundwater levels and caused widespread land subsidence—reaching 9 meters by 1981. More than half of the thickness of the aquifer system is composed of fine-grained sediments, including clays, silts, and sandy or silty clays that are susceptible to compaction. In an effort to aid water managers in understanding how water moves through the aquifer system, predicting water-supply scenarios, and addressing issues related to water competition, the United States Geological Survey (USGS) developed a new hydrologic modeling tool, the Central Valley Hydrologic Model (CVHM; Faunt and others 2009). The data presented in this data release will be used to facilitate updates to the original CVHM, and represent subsidence observations (measurements) using continuous Global Positioning System (CGPS) methods during 1999–2018. For a more detailed description of CGPS methods, please see Sneed and others (2013; 2018).

The Central Valley, and particularly the San Joaquin Valley, has a long history of land subsidence caused by groundwater development. The extensive withdrawal of groundwater from the unconsolidated deposits of the San Joaquin Valley lowered groundwater levels and caused widespread land subsidence—reaching 9 meters by 1981. More than half of the thickness of the aquifer system is composed of fine-grained sediments, including clays, silts, and sandy or silty clays that are susceptible to compaction. In an effort to aid water managers in understanding how water moves through the aquifer system, predicting water-supply scenarios, and addressing issues related to water competition, the United States Geological Survey (USGS) developed a new hydrologic modeling tool, the Central Valley Hydrologic Model (CVHM; Faunt and others 2009). The data presented in this data release will be used to facilitate updates to the original CVHM, and represent subsidence observations (measurements) using continuous Global Positioning System (CGPS) methods during 1999–2018. For a more detailed description of CGPS methods, please see Sneed and others (2013; 2018).

This point shapefile contains positional data for 36,760 locations at Meadow Valley Wash at Stuart Ranch, near Rox, Nevada, collected from December 15, 2020, to January 11, 2024. Positional data were collected using either a single-base real-time kinematic (RTK), single-base static, single-base rapid-static global navigation satellite system (GNSS), total station (TS), terrestrial laser scanner (TLS), or added manually. The survey data primarily were used to create a digital elevation model (DEM) of the study area, with a secondary use as vertical precision verification for the DEM and high-water marks (HWM) for model calibration.

Export Data Access API NSW Positioning Theme Survey Mark GDA2020 multiCRS MultiCRS service - supporting requests in multiple Coordinate Reference Systems - Information Sheet A new series of ‘multiCRS’ web services have been published to support GDA2020. These new ‘multiCRS’ services: · have a spatial reference of GDA2020 · support alignment with GDA2020, GDA94 or [WGS 84-aligned-to-GDA2020] GIS environments,using built-in server-side transformations: o GDA94 < NTv2-CPD > GDA2020 o GDA94 < NTv2-CPD > WGS 84 aligned to GDA2020 o GDA2020 < NULL > WGS 84 aligned to GDA2020 Note: ESRI software will automatically align by transforming from the sourceSpatialReference (GDA94). Other software may need to set client-side transformations from the SpatialReference (GDA2020). Note: Client-side transformation(s) can be used to over-ride these default transformations.The original [WGS 84-aligned-to-GDA2020] is still available, without the ‘multiCRS’ suffix. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt this new multiCRS functionally. 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 InformationContent TitleNSW Positioning Theme Survey Mark GDA2020 multiCRSContent TypeHosted Feature LayerDescriptionThis service provides GDA2020 coordinates, heights and related information for NSW survey marks that form the official State control survey network (as reported in SCIMS). This service supports requests in multiple coordinate reference systems.This service controls the precision of numerical output in a manner that mirrors SCIMS Online available through the Spatial Services Portal.The web service provides a wealth of data on each mark, including:Mark type (Permanent Mark, State Survey Mark, etc.) Mark number Horizontal coordinates and their accuracy (class and order) Heights and their accuracy (class and order) Status of the mark (destroyed, restricted access, etc.) The mark type is represented using various shapes and the accuracy of the mark (both vertical and horizontal) is communicated by the colour. This web service allows users to easily integrate survey control mark data from SCIMS into Open Geospatial Consortium (OGC) compliant spatial platforms and applications. Data provided by the NSW Survey Mark web service can be used in a variety of engineering and surveying applications, including but not limited to: Cadastral survey planning Flood studies and hydrographic modelling Infrastructure developmentSite calibration at construction sites Elevation modelling Preservation of survey infrastructure.The NSW Survey Mark web service gives users an alternative method to access state control survey data that can be incorporated into their GIS package without needing to log into SCIMS Online.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.Initial Publication Date24/06/2019Data Currency01/01/3000Data Update FrequencyDailyContent SourceData provider filesFile TypeMap Feature ServiceAttribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Positioning Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThis dataset depicts the location of survey marks based on their official GDA2020 coordinates. Survey mark positional accuracy is reported in the data fields for each mark and varies from mark to mark. Over time mark accuracy will change when new observations are added, and survey adjustments are completed.For additional information, please contact us via the Spatial Services Customer