Application of Geodetic Datums in Georeferencing EUMETNET/OPERA 1999-2006
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Navigation and the Global Positioning System (GPS): the Global Positioning System
Navigation and the Global Positioning System (GPS): The Global Positioning System: Few changes of great importance to economics and safety have had more immediate impact and less fanfare than GPS. • GPS has quietly changed everything about how we locate objects and people on the Earth. • GPS is (almost) the final step toward solving one of the great conundrums of human history. Where the heck are we, anyway? In the Beginning……. • To understand what GPS has meant to navigation it is necessary to go back to the beginning. • A quick look at a ‘precision’ map of the world in the 18th century tells one a lot about how accurate our navigation was. Tools of the Trade: • Navigations early tools could only crudely estimate location. • A Sextant (or equivalent) can measure the elevation of something above the horizon. This gives your Latitude. • The Compass could provide you with a measurement of your direction, which combined with distance could tell you Longitude. • For distance…well counting steps (or wheel rotations) was the thing. An Early Triumph: • Using just his feet and a shadow, Eratosthenes determined the diameter of the Earth. • In doing so, he used the last and most elusive of our navigational tools. Time Plenty of Weaknesses: The early tools had many levels of uncertainty that were cumulative in producing poor maps of the world. • Step or wheel rotation counting has an obvious built-in uncertainty. • The Sextant gives latitude, but also requires knowledge of the Earth’s radius to determine the distance between locations. • The compass relies on the assumption that the North Magnetic pole is coincident with North Rotational pole (it’s not!) and that it is a perfect dipole (nope…). -
State Plane Coordinate System
Wisconsin Coordinate Reference Systems Second Edition Published 2009 by the State Cartographer’s Office Wisconsin Coordinate Reference Systems Second Edition Wisconsin State Cartographer’s Offi ce — Madison, WI Copyright © 2015 Board of Regents of the University of Wisconsin System About the State Cartographer’s Offi ce Operating from the University of Wisconsin-Madison campus since 1974, the State Cartographer’s Offi ce (SCO) provides direct assistance to the state’s professional mapping, surveying, and GIS/ LIS communities through print and Web publications, presentations, and educational workshops. Our staff work closely with regional and national professional organizations on a wide range of initia- tives that promote and support geospatial information technologies and standards. Additionally, we serve as liaisons between the many private and public organizations that produce geospatial data in Wisconsin. State Cartographer’s Offi ce 384 Science Hall 550 North Park St. Madison, WI 53706 E-mail: [email protected] Phone: (608) 262-3065 Web: www.sco.wisc.edu Disclaimer The contents of the Wisconsin Coordinate Reference Systems (2nd edition) handbook are made available by the Wisconsin State Cartographer’s offi ce at the University of Wisconsin-Madison (Uni- versity) for the convenience of the reader. This handbook is provided on an “as is” basis without any warranties of any kind. While every possible effort has been made to ensure the accuracy of information contained in this handbook, the University assumes no responsibilities for any damages or other liability whatsoever (including any consequential damages) resulting from your selection or use of the contents provided in this handbook. Revisions Wisconsin Coordinate Reference Systems (2nd edition) is a digital publication, and as such, we occasionally make minor revisions to this document. -
Georeferencing Accuracy of Geoeye-1 Stereo Imagery: Experiences in a Japanese Test Field
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan 2010 GEOREFERENCING ACCURACY OF GEOEYE-1 STEREO IMAGERY: EXPERIENCES IN A JAPANESE TEST FIELD Y. Meguro a, *, C.S.Fraser b a Japan Space Imaging Corp., 8-1Yaesu 2-Chome, Chuo-Ku, Tokyo 104-0028, Japan - [email protected] b Department of Geomatics, University of Melbourne VIC 3010, Australia - [email protected] Commission VIII, Working Group ICWG IV/VIII KEY WORDS: GeoEye-1, Stereo, RPCs, geopositioning, accuracy evaluation, bias compensation, satellite imagery ABSTRACT: High-resolution satellite imagery (HRSI) is being increasingly employed for large-scale topographic mapping, and especially for geodatabase updating. As the spatial resolution of HRSI sensors increases, so the potential georeferencing accuracy also improves. However, accuracy is not a function of spatial resolution alone, as it is also dependent upon radiometric image quality, the dynamics of the image scanning, and the fidelity of the sensor orientation model, both directly from orbit and attitude observations and indirectly from ground control points (GCPs). Users might anticipate accuracies of, say, 1 pixel in planimetry and 1-3 pixels in height when using GCPs. However, there are practical and in some cases administrative/legal imperatives for the georeferencing accuracy of HRSI systems to be quantified through well controlled tests. This paper discusses an investigation into the georeferencing accuracy attainable from the GeoEye-1 satellite, and specifically the 3D accuracy achievable from stereo imagery. Both direct georeferencing via supplied RPCs and indirect georeferencing via ground control and bias-corrected RPCs were examined for a stereo pair of pansharpened GeoEye-1 Basic images covering the Tsukuba Test Field in Japan, which contains more than 100 precisely surveyed and image identifiable GCPs. -
Knowledge-Driven Geospatial Location Resolution for Phylogeographic
Bioinformatics, 31, 2015, i348–i356 doi: 10.1093/bioinformatics/btv259 ISMB/ECCB 2015 Knowledge-driven geospatial location resolution for phylogeographic models of virus migration Davy Weissenbacher1,*, Tasnia Tahsin1, Rachel Beard1,2, Mari Figaro1,2, Robert Rivera1, Matthew Scotch1,2 and Graciela Gonzalez1 1Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA and 2Center for Environmental Security, Biodesign Institute, Arizona State University, Tempe, AZ 85287-5904, USA *To whom correspondence should be addressed. Abstract Summary: Diseases caused by zoonotic viruses (viruses transmittable between humans and ani- mals) are a major threat to public health throughout the world. By studying virus migration and mutation patterns, the field of phylogeography provides a valuable tool for improving their surveil- lance. A key component in phylogeographic analysis of zoonotic viruses involves identifying the specific locations of relevant viral sequences. This is usually accomplished by querying public data- bases such as GenBank and examining the geospatial metadata in the record. When sufficient detail is not available, a logical next step is for the researcher to conduct a manual survey of the corresponding published articles. Motivation: In this article, we present a system for detection and disambiguation of locations (topo- nym resolution) in full-text articles to automate the retrieval of sufficient metadata. Our system has been tested on a manually annotated corpus of journal articles related to phylogeography using inte- grated heuristics for location disambiguation including a distance heuristic, a population heuristic and a novel heuristic utilizing knowledge obtained from GenBank metadata (i.e. a ‘metadata heuristic’). Results: For detecting and disambiguating locations, our system performed best using the meta- data heuristic (0.54 Precision, 0.89 Recall and 0.68 F-score). -
Development of 3D Datum Transformation Model Between Wgs 84 and Clarke 1880 for Cross Rivers State, Nigeria
British Journal of Environmental Sciences Vol.7, No.2, pp. 70-86, May 2019 Published by European Centre for Research Training and Development UK (www.eajournals.org) DEVELOPMENT OF 3D DATUM TRANSFORMATION MODEL BETWEEN WGS 84 AND CLARKE 1880 FOR CROSS RIVERS STATE, NIGERIA Aniekan Eyoh1, Onuwa Okwuashi 2 and Akwaowo Ekpa3 Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria 1, 2 & 3 ABSTRACT: The need to have unified 3D datum transformation parameters for Nigeria for converting coordinates from Minna to WGS84 datum and vice-versa in order to overcome the ambiguity, inconsistency and non-conformity of existing traditional reference frames within national and international mapping system is long overdue. This study therefore develops the optimal transformation parameters between Clarke 1880 and WGS84 datums and vice-versa for Cross River State in Nigeria using the Molodensky-Badekas model. One hundred (100) first order 3D geodetic controls common in the Clarke 1880 and WGS84 datums were used for the study. Least squares solutions of the model was solved using MATLAB programming software. The datum shift parameters derived in the study were ΔX=99.388653795075243m ± 2.453509278, ΔY = 15.027733957346365m ± 2.450564809, ΔZ = -60.390012806020579m ± 2.450556881,α=-0.000000601338389±0.000004394,β=0.000021566705811 ± 0.00004133728, γ = 0.000034795781381 ± 0.00007348844, S(ppm) = 0.9999325233 ± 0.00003047930445. The results of the computation showed roughly good estimates of the datum shift parameters (dX, dY, dZ, K, RX , RY , RZ, K ) and standard deviation of the parameters. The computed residuals of the XYZ parameters were relatively good. The result of the test computation of the shift parameters using the entire 107 points were however not significantly different from those obtained with the 100 points, as the results showed good agreement between them. -
Download/Pdf/Ps-Is-Qzss/Ps-Qzss-001.Pdf (Accessed on 15 June 2021)
remote sensing Article Design and Performance Analysis of BDS-3 Integrity Concept Cheng Liu 1, Yueling Cao 2, Gong Zhang 3, Weiguang Gao 1,*, Ying Chen 1, Jun Lu 1, Chonghua Liu 4, Haitao Zhao 4 and Fang Li 5 1 Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China; [email protected] (C.L.); [email protected] (Y.C.); [email protected] (J.L.) 2 Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; [email protected] 3 Institute of Telecommunication and Navigation, CAST, Beijing 100094, China; [email protected] 4 Beijing Institute of Spacecraft System Engineering, Beijing 100094, China; [email protected] (C.L.); [email protected] (H.Z.) 5 National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100094, China; [email protected] * Correspondence: [email protected] Abstract: Compared to the BeiDou regional navigation satellite system (BDS-2), the BeiDou global navigation satellite system (BDS-3) carried out a brand new integrity concept design and construction work, which defines and achieves the integrity functions for major civil open services (OS) signals such as B1C, B2a, and B1I. The integrity definition and calculation method of BDS-3 are introduced. The fault tree model for satellite signal-in-space (SIS) is used, to decompose and obtain the integrity risk bottom events. In response to the weakness in the space and ground segments of the system, a variety of integrity monitoring measures have been taken. On this basis, the design values for the new B1C/B2a signal and the original B1I signal are proposed, which are 0.9 × 10−5 and 0.8 × 10−5, respectively. -
Geodynamics and Rate of Volcanism on Massive Earth-Like Planets
The Astrophysical Journal, 700:1732–1749, 2009 August 1 doi:10.1088/0004-637X/700/2/1732 C 2009. The American Astronomical Society. All rights reserved. Printed in the U.S.A. GEODYNAMICS AND RATE OF VOLCANISM ON MASSIVE EARTH-LIKE PLANETS E. S. Kite1,3, M. Manga1,3, and E. Gaidos2 1 Department of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA 94720, USA; [email protected] 2 Department of Geology and Geophysics, University of Hawaii at Manoa, Honolulu, HI 96822, USA Received 2008 September 12; accepted 2009 May 29; published 2009 July 16 ABSTRACT We provide estimates of volcanism versus time for planets with Earth-like composition and masses 0.25–25 M⊕, as a step toward predicting atmospheric mass on extrasolar rocky planets. Volcanism requires melting of the silicate mantle. We use a thermal evolution model, calibrated against Earth, in combination with standard melting models, to explore the dependence of convection-driven decompression mantle melting on planet mass. We show that (1) volcanism is likely to proceed on massive planets with plate tectonics over the main-sequence lifetime of the parent star; (2) crustal thickness (and melting rate normalized to planet mass) is weakly dependent on planet mass; (3) stagnant lid planets live fast (they have higher rates of melting than their plate tectonic counterparts early in their thermal evolution), but die young (melting shuts down after a few Gyr); (4) plate tectonics may not operate on high-mass planets because of the production of buoyant crust which is difficult to subduct; and (5) melting is necessary but insufficient for efficient volcanic degassing—volatiles partition into the earliest, deepest melts, which may be denser than the residue and sink to the base of the mantle on young, massive planets. -
Part V: the Global Positioning System ______
PART V: THE GLOBAL POSITIONING SYSTEM ______________________________________________________________________________ 5.1 Background The Global Positioning System (GPS) is a satellite based, passive, three dimensional navigational system operated and maintained by the Department of Defense (DOD) having the primary purpose of supporting tactical and strategic military operations. Like many systems initially designed for military purposes, GPS has been found to be an indispensable tool for many civilian applications, not the least of which are surveying and mapping uses. There are currently three general modes that GPS users have adopted: absolute, differential and relative. Absolute GPS can best be described by a single user occupying a single point with a single receiver. Typically a lower grade receiver using only the coarse acquisition code generated by the satellites is used and errors can approach the 100m range. While absolute GPS will not support typical MDOT survey requirements it may be very useful in reconnaissance work. Differential GPS or DGPS employs a base receiver transmitting differential corrections to a roving receiver. It, too, only makes use of the coarse acquisition code. Accuracies are typically in the sub- meter range. DGPS may be of use in certain mapping applications such as topographic or hydrographic surveys. DGPS should not be confused with Real Time Kinematic or RTK GPS surveying. Relative GPS surveying employs multiple receivers simultaneously observing multiple points and makes use of carrier phase measurements. Relative positioning is less concerned with the absolute positions of the occupied points than with the relative vector (dX, dY, dZ) between them. 5.2 GPS Segments The Global Positioning System is made of three segments: the Space Segment, the Control Segment and the User Segment. -
Reference Systems for Surveying and Mapping Lecture Notes
Delft University of Technology Reference Systems for Surveying and Mapping Lecture notes Hans van der Marel ii The front cover shows the NAP (Amsterdam Ordnance Datum) ”datum point” at the Stopera, Amsterdam (picture M.M.Minderhoud, Wikipedia/Michiel1972). H. van der Marel Lecture notes on Reference Systems for Surveying and Mapping: CTB3310 Surveying and Mapping CTB3425 Monitoring and Stability of Dikes and Embankments CIE4606 Geodesy and Remote Sensing CIE4614 Land Surveying and Civil Infrastructure February 2020 Publisher: Faculty of Civil Engineering and Geosciences Delft University of Technology P.O. Box 5048 Stevinweg 1 2628 CN Delft The Netherlands Copyright ©20142020 by H. van der Marel The content in these lecture notes, except for material credited to third parties, is licensed under a Creative Commons AttributionsNonCommercialSharedAlike 4.0 International License (CC BYNCSA). Third party material is shared under its own license and attribution. The text has been type set using the MikTex 2.9 implementation of LATEX. Graphs and diagrams were produced, if not mentioned otherwise, with Matlab and Inkscape. Preface This reader on reference systems for surveying and mapping has been initially compiled for the course Surveying and Mapping (CTB3310) in the 3rd year of the BScprogram for Civil Engineering. The reader is aimed at students at the end of their BSc program or at the start of their MSc program, and is used in several courses at Delft University of Technology. With the advent of the Global Positioning System (GPS) technology in mobile (smart) phones and other navigational devices almost anyone, anywhere on Earth, and at any time, can determine a three–dimensional position accurate to a few meters. -
World Geodetic System 1984
World Geodetic System 1984 Responsible Organization: National Geospatial-Intelligence Agency Abbreviated Frame Name: WGS 84 Associated TRS: WGS 84 Coverage of Frame: Global Type of Frame: 3-Dimensional Last Version: WGS 84 (G1674) Reference Epoch: 2005.0 Brief Description: WGS 84 is an Earth-centered, Earth-fixed terrestrial reference system and geodetic datum. WGS 84 is based on a consistent set of constants and model parameters that describe the Earth's size, shape, and gravity and geomagnetic fields. WGS 84 is the standard U.S. Department of Defense definition of a global reference system for geospatial information and is the reference system for the Global Positioning System (GPS). It is compatible with the International Terrestrial Reference System (ITRS). Definition of Frame • Origin: Earth’s center of mass being defined for the whole Earth including oceans and atmosphere • Axes: o Z-Axis = The direction of the IERS Reference Pole (IRP). This direction corresponds to the direction of the BIH Conventional Terrestrial Pole (CTP) (epoch 1984.0) with an uncertainty of 0.005″ o X-Axis = Intersection of the IERS Reference Meridian (IRM) and the plane passing through the origin and normal to the Z-axis. The IRM is coincident with the BIH Zero Meridian (epoch 1984.0) with an uncertainty of 0.005″ o Y-Axis = Completes a right-handed, Earth-Centered Earth-Fixed (ECEF) orthogonal coordinate system • Scale: Its scale is that of the local Earth frame, in the meaning of a relativistic theory of gravitation. Aligns with ITRS • Orientation: Given by the Bureau International de l’Heure (BIH) orientation of 1984.0 • Time Evolution: Its time evolution in orientation will create no residual global rotation with regards to the crust Coordinate System: Cartesian Coordinates (X, Y, Z). -
Geodetic Control
FGDC-STD-014.4-2008 Geographic Information Framework Data Content Standard Part 4: Geodetic Control May 2008 Federal Geographic Data Committee Established by Office of Management and Budget Circular A-16, the Federal Geographic Data Committee (FGDC) promotes the coordinated development, use, sharing, and dissemination of geographic data. The FGDC is composed of representatives from the Departments of Agriculture, Commerce, Defense, Education, Energy, Health and Human Services, Homeland Security, Housing and Urban Development, the Interior, Justice, Labor, State, and Transportation, the Treasury, and Veteran Affairs; the Environmental Protection Agency; the Federal Communications Commission; the General Services Administration; the Library of Congress; the National Aeronautics and Space Administration; the National Archives and Records Administration; the National Science Foundation; the Nuclear Regulatory Commission; the Office of Personnel Management; the Small Business Administration; the Smithsonian Institution; the Social Security Administration; the Tennessee Valley Authority; and the U.S. Agency for International Development. Additional Federal agencies participate on FGDC subcommittees and working groups. The Department of the Interior chairs the committee. FGDC subcommittees work on issues related to data categories coordinated under the circular. Subcommittees establish and implement standards for data content, quality, and transfer; encourage the exchange of information and the transfer of data; and organize the collection of -
Introduction to Georeferencing
Introduction to Georeferencing Turning paper maps to interactive layers DMDS Workshop Jay Brodeur 2019-02-29 Today’s Outline ➢ Basic fundamentals of GIS and geospatial data ⚬ Vectors vs. rasters ⚬ Coordinate reference systems ➢ Introduction to Quantum GIS (QGIS) ➢ Hands-on Problem-Solving Assignments Quantum GIS (QGIS) ➢ Free and open-source GIS software ➢ User-friendly, fully-functional; relatively lightweight ➢ Product of the Open Source Geospatial Foundation (OSGeo) ➢ Built in C++; uses python for scripting and plugins ➢ Version 1.0 released in 2009 ➢ Current version: 3.16; Long-term release (LTR): 3.14 GDAL - Geospatial Data Abstraction Library www.gdal.org SAGA - System for Automated Geoscientific Analyses saga-gis.org/ GRASS - Geographic Resources Analysis Support System www.grass.osgeo.org QGIS - Quantum GIS qgis.org GeoTools www.geotools.org Helpful QGIS Tutorials and Resources ➢ QGIS Tutorials: http://www.qgistutorials.com/en/ ➢ QGIS Quicktips with Klas Karlsson: https://www.youtube.com/channel/UCxs7cfMwzgGZhtUuwhny4-Q ➢ QGIS Training Guide: https://docs.qgis.org/2.8/en/docs/training_manual/ Geospatial Data Fundamentals Representing real-world geographic information in a computer Task 1: Compare vector and raster data layers Objective: Download some openly-available raster and vector data. Explore the differences. Topics Covered: ➢ The QGIS Interface ➢ Geospatial data ➢ Layer styling ➢ Vectors vs rasters Online version of notes: https://goo.gl/H5vqNs Task 1.1: Downloading vector raster data & adding it to your map 1. Navigate a browser to Scholars Geoportal: http://geo.scholarsportal.info/ 2. Search for ‘index’ using the ‘Historical Maps’ category 3. Load the 1:25,000 topo map index 4. Use the interactive index to download the 1972 map sheet of Hamilton 5.