Volume XIII, Issue 08, August 2017
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Indoor Positioning Using Probabilistic Virtual Anchor Point Graphs

Eike Jens Hoffmann

Synchronet service demonstration results in DEMETRA H2020 Project

Enrico Varriale, Quirino Morante

GNSS data for ionosphere characterization

Josip Vukovic´ , Tomislav Kos

PGM2016: A new Geoid Model for the Philippines

R Gatchalian, R Forsberg, A Olesen
My Coordinates
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SEPTEMBER 2017 TO APRIL 2018
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INDUSTRY| GNSS | GIS | LBS | UAV | GALILEO UPDATE | IMAGING | GLONASS UPDATE
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Volume XIII, Issue 07, July 2017
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Geomagnetic observations and measurements in Israel

Dr Anna Shnaidman, Dr Boris Shirman, Yosef Melzer

Effect of GCPs in distribution and location on geometric correction of corona satellite image

Sao Hone Pha, Wataru Takeuchi

PNT systems in Ukraine: European Cooperation Aspects

Serhii Chernolevsky

Urban sprawl prediction using cellular automata

Kajal Himatlal Rana, Dhiraj A. Raut


Sep 2015 | No Comment

Malaysia is a maritime country with two primary land masses, Peninsular Malaysia and East Malaysia. The country has a total land mass of approximately 330,000 sq km and 4492 km of coastlines.

Sep 2015 | No Comment

Operational and emerging Global Navigation Satellite Systems (GNSS) GPS, GLONASS, Galileo and others provide high-accuracy determination of position, velocity and time for land, marine, airborne and other kinds of users.

Sep 2015 | No Comment

GNSS positioning in the urban environment remains challenging, because of the occurrence of many satellite signal reflection and diffraction, also called multipath, that, in the best case, combine with the direct signal, but – in the worst case when the direct signal is obscured – make signal tracking drift unboundedly.

Sep 2015 | No Comment

The 1960s to early 1970s were boom times for enrolments in surveying and geomatics programs in the state of NSW in Australia and I suspect other states as well. At the University of NSW (UNSW) at that time there were up to 100 students per year entering the program.

Aug 2015 | No Comment

The main reason for FAO’s initial involvement in open source land administration software was that in the developing world, the move from paper based tenure records and related processes to computerized systems based on digital data flows had been slow, costly and often unsustainable.