Results 191 to 200 of about 18,808 (243)

Wavelet-Based P-Wave Detection in High-Rate GNSS Data: A Novel Approach for Rapid Earthquake Monitoring in Tsunamigenic Settings. [PDF]

open access: yesSensors (Basel)
Sudrajat A   +7 more
europepmc   +1 more source

Augmented reality tools for mathematics and geoscience education. [PDF]

open access: yesSci Rep
Kaźmierczak R   +4 more
europepmc   +1 more source

THE DEPARTMENT OF GEODESY AND CARTOGRAPHY, FACULTY OF GEOGRAPHY, TARAS SHEVCHENKO NATIONAL UNIVERSITY OF KYIV: HISTORY, MODERNITY, PROSPECTS

open access: yesUkrainian Journal of Natural Sciences, 2023
There is considered the activity of geodesy and cartography department of geographical faculty of Taras Shevchenko National University of Kyiv from time of its institution to present time. Chronologically 3 main topics exposed: educational and scientific functioning, structural and organization instants and personnel policy of department. To mark
А. Oreshchenko
semanticscholar   +4 more sources
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ABSOLUTE GNSS RECEIVER ANTENNA CALIBRATION AT THE FACULTY OF GEODESY - UNIVERSITY OF ZAGREB

Journal of Faculty of Civil Engineering
Global Navigation Satellite Systems (GNSSs) receivers are essential sensors for modern global positioning, navigation, and timing applications. Geodetic GNSS positioning applications are based on carrier-phase measurements, where the understanding of the GNSS signal’s electrical reception characteristics, i.e., the receiver antenna phase center ...
Zrinjski, Mladen   +3 more
openaire   +2 more sources

Training in geodesy at the Faculty of Geodesy at UACEG

Annual of Univercity of architecture, civil engineering and geodesy, 2023
The training in Geodesy at the Faculty of Geodesy at UACEG has an 80-year history. The very fact that this specialty is one of the two specialties that laid the foundation of higher technical education in Bulgaria is enough to understand and appreciate ...
Ivan Kunchev
semanticscholar   +1 more source

Real-Time Solar Wind Prediction Based on SDO/AIA Coronal Hole Data

, 2015
We present an empirical model based on the visible area covered by coronal holes close to the central meridian with the aim to predict the solar wind speed at 1 AU with a lead time of up to four days in advance with a time resolution of one hour.
T. Rotter   +11 more
semanticscholar   +1 more source

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