State-Of-The-Art Geospatial Information Processing in Nosql Databases
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Show Guideguide Web Searching for GIS Services and Web Mapping Have Been Either Published Or an Introduction Adopted by OGC
showshow guideguide Web searching for GIS services and Web Mapping have been either published or An Introduction adopted by OGC. Who are OGC’s members? to OpenGIS There are three main levels of OGC membership: Principal, Technical and By Adam Gawne-Cain and Chris Holcroft Associate. The higher membership levels confer more voting rights. There are now OpenGIS is the activity pursued by the Open GIS over 300 members featuring 20 Principal members and 25 Technical members from Consortium (OGC). OpenGIS seeks to achieve around the globe. transparent access to disparate geo-data and geo- The membership of OGC is impressively processing resources in a networked environment by broad. Most major GIS companies are members, along with database companies, providing a rich suite of open interface specifications. operating system companies, national mapping agencies, large government These interface specifications will enable GIS developers departments, universities and research to create inter-operable components that provide this institutes. The membership is international, but mainly focused in North transparency. America and Europe. The difference between OpenGIS and A second advantage of OGC’s interface- How does OGC make Interface previous attempts to standardise GIS is based approach is that users can be sure Specifications? that OGC agrees interfaces, and not that they are looking at genuine, live data, Every two months, the OGC Technical neutral file formats. The problem with and not at a static file generated some time Committee (TC) and Management neutral file formats (e.g. SDTS or NTF) in the past. Committee (MC) meet for a week. was that specifications grew so complex The meetings are held in different that each GIS could only support a sub-set A third, practical advantage of interfaces locations around the world, hosted by one of the format. -
Applications of Digital Image Processing in Real Time World
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 12, DECEMBER 2019 ISSN 2277-8616 Applications Of Digital Image Processing In Real Time World B.Sridhar Abstract :-- Digital contents are the essential kind of analyzing, information perceived and which are explained by the human brain. In our brain, one third of the cortical area is focused only to visual information processing. Digital image processing permits the expandable values of different algorithms to be given to the input section and prevent the problems of noise and distortion during the image processing. Hence it deserves more advantages than analog based image processing. Index Terms:-- Agriculture, Biomedical imaging, Face recognition, image enhancement, Multimedia Security, Authentication —————————— —————————— 2 REAL TIME APPLICATIONS OF IMAGE PROCESSING 1 INTRODUCTION This chapter reviews the recent advances in image Digital image processing is dependably a catching the processing techniques for various applications, which more attention field and it freely transfer the upgraded include agriculture, multimedia security, Remote sensing, multimedia data for human understanding and analyzing Computer vision, Medical applications, Biometric of image information for capacity, transmission, and verification, etc,. representation for machine perception[1]. Generally, the stages of investigation of digital image can be followed 2.1 Agriculture and the workflow statement of the digital image In the present situation, due to the huge density of population, gives the horrible results of demand of food, processing (DIP) is displayed in Figure 1. diminishments in agricultural land, environmental variation and the political instability, the agriculture industries are trying to find the new solution for enhancing the essence of the productivity and sustainability.―In order to support and satifisfied the needs of the farmers Precision agriculture is employed [2]. -
Standards and Guidelines for Cadastral Surveys Using GPS
Table of Contents Foreword ........................................................................................................................................ 3 Part One: Standards for Positional Accuracy ................................................................................ 4 Part Two: GPS Survey Guidelines ................................................................................................ 5 Section One: Field Data Acquisition Methods Section Two: Field Survey Operations and Procedures Cadastral Project Control Cadastral Measurements Section Three: Data Processing and Analysis Section Four: Project Documentation Appendix A: Definitions ............................................................................................................. 16 Appendix B: Computation of Accuracies ................................................................................... 18 Appendix C: References ............................................................................................................. 19 Attachment 1-2 Foreword These Standards and Guidelines provide guidance to the Government cadastral surveyor and other land surveyors in the use of Global Positioning System (GPS) technology to perform Public Land Survey System (PLSS) surveys of the Public Lands of the United States of America. Many sources were consulted during the preparation of this document. These sources included other GPS survey standards and guidelines, technical reports and manuals. Opinions and reviews were also sought from public and -
National Spatial Reference System: "Positioning Changes for 2022"
National Spatial Reference System “Positioning Changes for 2022” Civil GPS Service Interface Committee Meeting Miami, Florida September 24, 2018 Denis Riordan, PSM NOAA, National Geodetic Survey [email protected] U.S. Department of Commerce National Oceanic & Atmospheric Administration National Geodetic Survey Mission: To define, maintain & provide access to the National Spatial Reference System (NSRS) to meet our Nation’s economic, social & environmental needs National Spatial Reference System * Latitude * Scale * Longitude * Gravity * Height * Orientation & their variations in time U. S. Geometric Datums in 2022 National Spatial Reference System (NSRS) Improvements in the Horizontal Datums TIME NETWORK METHOD NETWORK SPAN ACCURACY OF REFERENCE NAD 27 1927-1986 10 meter (1 part in 100,000) TRAVERSE & TRIANGULATION - GROUND MARKS USED FOR NAD83(86) 1986-1990 1 meter REFERENCING (1 part THE in 100,000) NSRS. NAD83(199x)* 1990-2007 0.1 meter GPS B- orderBECOMES (1 part THE in MEANS 1 million) OF POSITIONING – STILL GRND MARKS. HARN A-order (1 part in 10 million) NAD83(2007) 2007 - 2011 0.01 meter 0.01 meter GPS – CORS STATIONS ARE MEANS (CORS) OF REFERENCE FOR THE NSRS. NAD83(2011) 2011 - 2022 0.01 meter 0.01 meter (CORS) NSRS Reference Basis Old Method - Ground Current Method - GNSS Stations Marks (Terrestrial) (CORS) Why Replace NAD83? • Datum based on best known information about the earth’s size and shape from the early 1980’s (45 years old), and the terrestrial survey data of the time. • NAD83 is NON-geocentric & hence inconsistent w/GNSS . • Necessary for agreement with future ubiquitous positioning of GNSS capability. Future Geometric (3-D) Reference Frame Blueprint for 2022: Part 1 – Geometric Datum • Replace NAD83 with new geometric reference frame – by 2022. -
Health Informatics Principles
Health Informatics Principles Foundational Curriculum: Cluster 4: Informatics Module 7: The Informatics Process and Principles of Health Informatics Unit 2: Health Informatics Principles FC-C4M7U2 Curriculum Developers: Angelique Blake, Rachelle Blake, Pauliina Hulkkonen, Sonja Huotari, Milla Jauhiainen, Johanna Tolonen, and Alpo Vӓrri This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and 21/60 innovation programme under Grant Agreement No. 727552 1 EUUSEHEALTHWORK Unit Objectives • Describe the evolution of informatics • Explain the benefits and challenges of informatics • Differentiate between information technology and informatics • Identify the three dimensions of health informatics • State the main principles of health informatics in each dimension This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. 727552 2 EUUSEHEALTHWORK The Evolution of Health Informatics (1940s-1950s) • In 1940, the first modern computer was built called the ENIAC. It was 24.5 metric tonnes (27 tons) in volume and took up 63 m2 (680 sq. ft.) of space • In 1950 health informatics began to take off with the rise of computers and microchips. The earliest use was in dental projects during late 50s in the US. • Worldwide use of computer technology in healthcare began in the early 1950s with the rise of mainframe computers This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. -
Cityjson: a Compact and Easy-To-Use Encoding of the Citygml Data Model
CityJSON: A compact and easy-to-use encoding of the CityGML data model Hugo Ledoux Ken Arroyo Ohori Kavisha Kumar Balazs´ Dukai Anna Labetski Stelios Vitalis This is the author’s version of the work. It is posted here only for personal use, not for redistribution and not for commercial use. The definitive version will be published in the journal Open Geospatial Data, Software and Standards soon. H. Ledoux, K. Arroyo Ohori, K. Kumar, B. Dukai, A. Labetski, and S. Vitalis (2018). CityJ- SON: A compact and easy-to-use encoding of the CityGML data model. Open Geospatial Data, Software and Standards, In Press. DOI: http://dx.doi.org/10.1186/s40965-019-0064-0 Full details of the project: https://cityjson.org The international standard CityGML is both a data model and an exchange for- mat to store digital 3D models of cities. While the data model is used by several cities, companies, and governments, in this paper we argue that its XML-based ex- change format has several drawbacks. These drawbacks mean that it is difficult for developers to implement parsers for CityGML, and that practitioners have, as a con- sequence, to convert their data to other formats if they want to exchange them with others. We present CityJSON, a new JSON-based exchange format for the CityGML data model (version 2.0.0). CityJSON was designed with programmers in mind, so that software and APIs supporting it can be quickly built. It was also designed to be compact (a compression factor of around six with real-world datasets), and to be friendly for web and mobile development. -
DOTD Standards for GPS Data Collection Accuracy
Louisiana Transportation Research Center Final Report 539 DOTD Standards for GPS Data Collection Accuracy by Joshua D. Kent Clifford Mugnier J. Anthony Cavell Larry Dunaway Louisiana State University 4101 Gourrier Avenue | Baton Rouge, Louisiana 70808 (225) 767-9131 | (225) 767-9108 fax | www.ltrc.lsu.edu TECHNICAL STANDARD PAGE 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. FHWA/LA.539 4. Title and Subtitle 5. Report Date DOTD Standards for GPS Data Collection Accuracy September 2015 6. Performing Organization Code 127-15-4158 7. Author(s) 8. Performing Organization Report No. Kent, J. D., Mugnier, C., Cavell, J. A., & Dunaway, L. Louisiana State University Center for GeoInformatics 9. Performing Organization Name and Address 10. Work Unit No. Center for Geoinformatics Department of Civil and Environmental Engineering 11. Contract or Grant No. Louisiana State University LTRC Project Number: 13-6GT Baton Rouge, LA 70803 State Project Number: 30001520 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Louisiana Department of Transportation and Final Report Development 6/30/2014 P.O. Box 94245 Baton Rouge, LA 70804-9245 14. Sponsoring Agency Code 15. Supplementary Notes Conducted in Cooperation with the U.S. Department of Transportation, Federal Highway Administration 16. Abstract The Center for GeoInformatics at Louisiana State University conducted a three-part study addressing accurate, precise, and consistent positional control for the Louisiana Department of Transportation and Development. First, this study focused on Departmental standards of practice when utilizing Global Navigational Satellite Systems technology for mapping-grade applications. Second, the recent enhancements to the nationwide horizontal and vertical spatial reference framework (i.e., datums) is summarized in order to support consistent and accurate access to the National Spatial Reference System. -
Draft Common Framework for Earth-Observation Data
THE U.S. GROUP ON EARTH OBSERVATIONS DRAFT COMMON FRAMEWORK FOR EARTH-OBSERVATION DATA Table of Contents Background ..................................................................................................................................... 2 Purpose of the Common Framework ........................................................................................... 2 Target User of the Common Framework ................................................................................. 4 Scope of the Common Framework........................................................................................... 5 Structure of the Common Framework ...................................................................................... 6 Data Search and Discovery Services .............................................................................................. 7 Introduction ................................................................................................................................. 7 Standards and Protocols............................................................................................................... 8 Methods and Practices ............................................................................................................... 10 Implementations ........................................................................................................................ 11 Software ................................................................................................................................ -
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction - Introduction to Simple Features - What is the GeoPackage? - Esri Support - Looking ahead… Geographic Things 3 Why add spatial data to a database? • The premise: - People want to manage spatial data in association with their standard business data. - Spatial data is simply another “property” of a business object. • The approach: - Utilize the existing SQL data access model. - Define a simple geometry object. - Define well known representations for passing structured data between systems. - Define a simple metadata schema so applications can find the spatial data. - Integrate support for spatial data types with commercial RDBMS software. Simple Feature Model 10 area1 yellow Feature Table 11 area2 green 12 area3 Blue Feature 13 area4 red Geometry Feature Attribute • Feature Tables contain rows (features) sharing common properties (Feature Attributes). • Geometry is a Feature Attribute. Database Simple Feature access Query Connection model based on SQL Cursor Value Geometry Type 1 Type 2 Spatial Geometry (e.g. string) (e.g. number) Reference Data Access Point Line Area Simple Feature Geometry Geometry SpatialRefSys Point Curve Surface GeomCollection LineString Polygon MultiSurface MultiPoint MultiCurve Non-Instantiable Instantiable MultiPolygon MultiLineString Some of the Major Standards Involved • ISO 19125, Geographic Information - Simple feature access - Part 1: common architecture - Part 2: SQL Option • ISO 13249-3, Information technology — Database -
UNIT-II GPS Systems:NAVSTAR-GLONAAS-Beidou-QZSS-IRNSS-GPS Receivers Based On: Data Type and Yield-Realization of Channels-Signal
UNIT-II GPS systems:NAVSTAR-GLONAAS-Beidou-QZSS-IRNSS-GPS receivers based on: Data type and yield-Realization of channels-Signal structure:Course Acquisition(code)-Carrier ranging and Navigational message Global Positioning System (GPS), originally Navstar GPS,[1] is a satellite-based radionavigation system owned by the United States government and operated by the United States Space Force.[2] It is one of the global navigation satellite systems (GNSS) that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.[3] Obstacles such as mountains and buildings block the relatively weak GPS signals. The GPS does not require the user to transmit any data, and it operates independently of any telephonic or internet reception, though these technologies can enhance the usefulness of the GPS positioning information. The GPS provides critical positioning capabilities to military, civil, and commercial users around the world. The United States government created the system, maintains it, and makes it freely accessible to anyone with a GPS receiver.[4][better source needed] The GPS project was started by the U.S. Department of Defense in 1973, with the first prototype spacecraft launched in 1978 and the full constellation of 24 satellites operational in 1993. Originally limited to use by the United States military, civilian use was allowed from the 1980s following an executive order from President Ronald Reagan.[5] Advances in technology and new demands on the existing system have now led to efforts to modernize the GPS and implement the next generation of GPS Block IIIA satellites and Next Generation Operational Control System (OCX).[6] Announcements from Vice President Al Gore and the Clinton Administration in 1998 initiated these changes, which were authorized by the U.S. -
Elasticsearch Update Multiple Documents
Elasticsearch Update Multiple Documents Noah is heaven-sent and shovel meanwhile while self-appointed Jerrome shack and squeeze. Jean-Pierre is adducible: she salvings dynastically and fluidizes her penalty. Gaspar prevaricate conformably while verbal Reynold yip clamorously or decides injunctively. Currently we start with multiple elasticsearch documents can explore the process has a proxy on enter request that succeed or different schemas across multiple data Needed for a has multiple documents that step api is being paired with the clients. Remember that it would update the single document only, not all. Ghar mein ghuskar maarta hai. So based on this I would try adding those values like the following. The update interface only deletes documents by term while delete supports deletion by term and by query. Enforce this limit in your application via a rate limiter. Adding the REST client in your dependencies will drag the entire Elasticsearch milkyway into your JAR Hell. Why is it a chain? When the alias switches to this new index it will be incomplete. Explain a search query. Can You Improve This Article? This separation means that a synchronous API considers only synchronous entity callbacks and a reactive implementation considers only reactive entity callbacks. Sets the child document index. For example, it is possible that another process might have already updated the same document in between the get and indexing phases of the update. Some store modules may define their own result wrapper types. It is an error to index to an alias which points to more than one index. The following is a simple List. -
15 Minutes Introduction to ELK (Elastic Search,Logstash,Kibana) Kickstarter Series
KickStarter Series 15 Minutes Introduction to ELK 15 Minutes Introduction to ELK (Elastic Search,LogStash,Kibana) KickStarter Series Karun Subramanian www.karunsubramanian.com ©Karun Subramanian 1 KickStarter Series 15 Minutes Introduction to ELK Contents What is ELK and why is all the hoopla? ................................................................................................................................................ 3 The plumbing – How does it work? ...................................................................................................................................................... 4 How can I get started, really? ............................................................................................................................................................... 5 Installation process ........................................................................................................................................................................... 5 The Search ............................................................................................................................................................................................ 7 Most important Plugins ........................................................................................................................................................................ 8 Marvel ..............................................................................................................................................................................................