A téradatok kezelésének etikai kérdései és az intézményi felkészítés módja a világban - ENSZ kérdőív

Az Európai Téradat Kutatás szervezete (EuroSDR) megküldte az ENSZ globális térinformációs tanácsadó bizottsága akadémiai hálózatának kérdőívét, amelyet olyan intézményekhez kívánnak eljuttatni, ahol téradatokkal foglalkoznak és akiktől a gyakorlat  etikával összefüggő kérdéseire kívánnak választ kapni. Mivel a téma közérdekű a szakmai közösség számára, a kérdőívet és forráshelyét e helyen is megosztom és az MFTTT WG4SDG tagjai figyelmébe ajánlom.

A kérdőív innen tölthető le: https://forms.gle/w7DVygrzoFyHaFSE7. Kitöltése mindössze 5 percet igényel. Beküldési határideje április 15.

 

 

 

 

 

 

 

 

Bővebbet a szervezet honlapjáról: www.eurosdr.net

Nemzeti térképészeti és kataszteri hatóságok munkatársainak figyelmébe: Költségmentes tanfolyam a 'Digitális ikrek' technológiáról

Az EuroSDR felhívásának megosztása az érdekeltek és érdeklődők számára

Dear colleagues,   We are very happy to announce the EuroSDR (online) workshop on 'Digital Twins for National Mapping and Cadastral Agencies and other governmental organisations’. The workshop will be divided over two mornings: 21st and 28th of January 2022. Participation is at no costs.   Aims of the workshop The aims of our workshop are to exchange experiences and plans from NMCAs and other governmental organisations on Digital Twin-related activities; to discuss the impact of the Digital Twin concept in the geo-information domain; and to identify remaining issues, challenges as well as opportunities. It is not the aim to come to a shared definition on the concept Digital Twin but rather to discuss the meaning of the concept in geo-related research and practice: What are the ongoing DT-activities, what are the use cases, lessons learned, uncertainties, opportunities, etc.   Programme of the workshop The programme is attached to this email. For up-to-date information, please consult our website.   More information and registration as participant More information about the workshop as well as the registration form can be found at: http://www.eurosdr.net/workshops/digital-twins-nmcas. Deadline for registration is 11th January 2022.

                                  

Az EuroSDR e-learning programja 2022-ben

Az érdekeltek és érdekéődők figyelmébe! Ma érkezett felhívás az EuroSDR tudástranszfer bizottságától.

A ma beérkezett levél:

"Dear colleagues,

The 2022 series of e-learning courses from EuroSDR is now open for registration:

http://www.eurosdr.net/education/course/eduserv20.

Topics of four e-learning courses will be introduced during the hybrid pre-course seminar on 14^th and 15^th February 2022. A detailed program will be available on the website as from 17^th December 2021. Two-week e-learning courses are scheduled from February to June 2022:

• Recent LiDAR Technologies (28 February – 11 March 2022)

Tutor: Gottfried Mandlburger (TU Vienna)

• Working with Volunteered and Crowdsourced Geographic Information (28 March – 8 April 2022)

Tutors: Peter Mooney (Maynooth University) and Levente Juhász (Florida International University)

• GeoBIM and 3D City Modelling (2 – 12 May 2022)

Tutors: Francesca Noardo and Ken Arroyo Ohori (Delft University of Technology)

• 3D Point Cloud Classification for Mapping Purposes (23 May – 3 June 2022)
  Tutors: Michael Koelle, Norbert Haala (University of Stuttgart), Eleonora Grilli and Fabio Remondino (Fondazione Bruno Kessler)

EduServ courses can be followed over the internet from any location and require about thirty hours of online study.

Course fees are: €400 for 1 or 2 courses, and €500 for 3 or 4 courses. A limited number of scholarships covering the admission fee are available.

For more information and updates, visit our website: http://www.eurosdr.net/education/current.

We hope to welcome you at our 2022 series of e-learning courses.


Kind regards,

Anka Lisec
EuroSDR Commission 5 - Knowledge Transfer

University of Ljubljana, Faculty of Civil and Geodetic Engineering

Department of Geodetic Engineering

Jamova cesta 2, SI-1000 Ljubljana, Slovenia
E-mail: Anka.Lisec@fgg.uni-lj.si" KK

                                        

 

EuroSDR hírlevél emlékeztető: Téradat-információk és szolgáltatások társadalmi-gazdasági hasznai ( távoktatási modul és webinárium)

EuroSDR honlap: http://www.eurosdr.net/

Bejelentkezési lehetőség a még szabad helyek függvényében!

 

"The socio-economic benefits of geospatial information and systems EuroSDR in collaboration with ConsultingWhere and enumanation          Background Senior decision makers, whether in government or the private sector continually weigh up competing investment opportunities in the realization of policy objectives or profits. To argue the case for investment in geospatial information and systems you need to be well prepared. Recent work in the new field of geo-economics has focused on assessing socio-economic benefits in the context of use cases that align with organizational or National policy drivers. This course will focus on introducing geospatial professionals to a simple methodology for identifying and articulating economic, social, and environmental benefits in terms decision makers can understand and estimating the return on investment in monetary terms.     Format This free course is delivered in two parts. Part 1 is a self-paced e-learning module describing how to build a business case.  You will learn to: List key economic and social benefits of geospatial information and systems; Identify the policy objectives that geospatial information and systems align to; Explain how to quantify the costs and benefits of geospatial information systems; and Describe how to build a business case for geospatial information systems.  Part 2 is a webinar that builds on the content of the e-learning through a question-and-answer session with a panel of specialists, allowing delegates to gain insights relevant to their challenges gaining executive-level buy-in for investment plans. Course Schedule The course schedule is as follows: Self-paced e-learning module (available from Monday 3rd May 2021) This has been developed by Nigel Edmead, Principal at enumanation. Delegates are asked to complete this module in advance of the webinar. The e-learning takes about 30 minutes to complete.   Webinar (Wednesday 19th May 2021 | 10:00 – 11:30 CET) Chaired by Frédéric Cantat (Transformation Coordination, IGN France). This session will include short presentations from a panel of specialists: Andrew Coote (CEO of ConsultingWhere), Joep Crompvoets (Professor, KU Leuven; Secretary-General EuroSDR) and others. The remainder of the webinar will be given over to answering questions from delegates on how to develop the business case for geospatial information and systems. The webinar is 90 minutes.   Registration Please register for this course here: http://www.eurosdr.net/socio-economic-benefits-geospatial-information-and-systems. There is a limit of 50 delegates, so early registration is recommended. For more information, click here."

                                        

 

Magyarország nem tagja a téradat-kutatás európai szervezetének (EuroSDR)

A ma érkezett, az EuroSDR 2020.évi jelentésében, a szervezet tagországai között hiába keressük Magyarországot. Ha ez így van, ez kifejezetten versenyhátrányt jelent, de méltatlan a  térinformatikai kutatásokkal, fejlesztésekkel, alkalmazásokkal foglalkozó hazai intézmények és szervezetek eredményeit tekintve. 

Az új technológiák, megközelítések és kihívások (AI/ML, G5, IoT, Big Data, EO ARD, EO/SDI integrációja a statisztikai adatokkal, UAV alkalmazások, LIDAR feldolgozások, citizen science, digitális iker, felhőszolgáltatások, GNSS, LBS, ITS, V2X és a ma még nem is ismert, de 5 éven belül elterjedten használt megoldások) igénylik, hogy a hazai szakemberek a téradatok kutatása terén is bekapcsolódhassanak az EuroSDR vérkeringésébe. A felsoroltaknál a legfontosabb szereplők maguk az adatok, melynek kutatása az adat tudomány körébe esik. (Az ITS Hungary 2021. május 6-i három órás webinárja érzékletesen rámutatott a tér-idő kontextusban az adatok szerepére a közeljövő közlekedésében.)

Az illetékesek és érdekeltek számára az EuroSDR elérhetőségei:

EuroSDR Secretariat
KU Leuven Public Governance Institute
Parkstraat 45 box 3609 – 3000 Leuven, Belgium
Tel. +32 (0)16 37 98 10
www.eurosdr.net – eurosdr@kuleuven.be – @EuroSDR

Legutóbb, a CLGE szervezethez való kapcsolódás ösztönzése esetében a javaslat akkor sikerre vezetett, amiben oroszlánrésze volt az MFTTT-nek. Most talán a Lechner Tudásközpontra (közreműködőként az érintett akadémiai intézményekre, egyetemi oktató- és ipari kutatóhelyekre) irányulhat a figyelem.

Fotogrammetriai képelemzés (PIA19) és a Müncheni Távérzékelési Szimpózium (MRSS19) rendezvények 2019 szeptemberében

Az EuroSDR leuveni titkárságának mai postájából: PIA19 We are happy to announce the upcoming event PIA19 - Photogrammetric Image Analysis 2019 which will be held in conjunction with MRSS19 - Munich Remote Sensing Symposium 2019 on September 18th-20th, 2019 in Munich, Germany. Scope Automated extraction of objects from remotely sensed data is an important topic of research in Computer Vision, Photogrammetry, Remote Sensing, and Geoinformation Science. In order to discuss recent developments and future trends in research in automatic object extraction and their influence on sensors and processing techniques, the two conferences "Photogrammetric Image Analysis" (PIA) and "Munich Remote Sensing Symposium" (MRSS) will be held as a common event. The location of the event will be Munich, Germany. The aim of the common event is to seek, exploit and deepen the synergies between geometry and semantics, and to give the two scientific communities the possibility to discuss with and to learn from each other. The joint event addresses experts from research, government, and private industry. It consists of high quality papers, and provides an international forum for discussion of leading research and technological developments as well as applications in the field. Topics §  Exploitation of high resolution space images §  UAVs and other platforms §  Sensor and system calibration and integration §  Surface modeling and reconstruction §  3d object extraction: buildings, roads, vegetation §  Learning and statistical methods for object extraction §  Sensor and data fusion including information from GIS, BIM, or CAD §  Image analysis for geospatial data update and change detection §  Rapid mapping for environmental applications and disaster management Prospective authors are encouraged to submit either full papers or abstracts. For more information, click here.

Az érdekeltek és további érdeklődők (különösen az éves  Fény-Tér-Kép résztvevői)  figyelmébe! MRSS19 We are happy to announce the upcoming event MRSS19 - Munich Remote Sensing Symposium 2019 which will be held in conjunction with PIA19 - Photogrammetric Image Analysis 2019 on September 18th-20th, 2019 in Munich, Germany. Scope The importance of remote sensing for the observation of our Earth and other planets is continuously growing, especially since more and more spaceborne data has become freely available to the public via the Landsat and Sentinel missions. In order to reach the goal of remote sensing, i.e. to map our environment both semantically and topographically, methods and algorithms from fields such as signal processing, image processing, computer vision and machine learning need to be combined with sensor- and target-specific domain expertise. MRSS19 seeks to foster the development of approaches from those fields dedicated to remote sensing data analysis. In this context, the following topics shall be addressed: Topics §  Exploitation of high resolution space images §  Semantic segmentation for object detection and land cover mapping §  3D reconstruction from remote sensing data §  Geospatial data update and change detection §  Super-resolution of imagery §  Hyperspectral image processing §  Information extraction from synthetic aperture radar (SAR) §  Fusion of multi-sensor, multi-resolution and multi-temporal data §  Feature extraction and machine learning for earth observation data §  Neural networks and deep learning §  Domain adaptation and transfer learning for remote sensing §  Benchmark datasets for machine learning models §  Large-scale mapping and big data §  Rapid mapping for environmental applications and disaster management §  Applications in agriculture, forestry, hydrology, and geology §  Small satellites and satellite constellations for mapping Prospective authors are encouraged to submit either full papers or abstracts. For more information, click here. Érkezett: 2019 február 5. www.eurosdr.net – eurosdr@kuleuven.be – @EuroSDR

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