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Приказ резултата 201-207 од 207
The global positioning system in geodetic surveying / Tehnologije globalnog sistema za pozicioniranje u funkciji geodetskog premera
(Savez inženjera i tehničara Srbije, Beograd, 2005)
The main task of the surveying is definition, identification, demarcation, measuring and mapping of the boundaries of the natural and artificial objects on the Earth surface. To define the relationship between points, the ...
Geodetic method using in obtaining designed geometry of civil structures / Primena geodetskih metoda u ostvarivanju kvalitetne geometrije građevinskih objekata
(Savez građevinskih inženjera Srbije, Beograd, 2009)
In this article short methodology of control measurements on engineering structures is explained. Special attention is given to the procedure of decision making related to the significance of points movement.
Landslide susceptibility assessment using SVM machine learning algorithm
(Engineering Geology, 2011)
This paper introduces the current machine learning approach to solving spatial modeling problems in the domain of landslide susceptibility assessment. The latter is introduced as a classification problem, having multiple ...
Calculating the differences of VTEC values obtained by altimetric and GNSS observations in coastal areas
(SurveyTaylor & Frencis, 2022)
The difference between the VTEC values obtained from the Global Navigation Satellite System
(GNSS) and satellite altimetry is much more noticeable over the ocean and the sea due to less
coverage of the GNSS observations. ...
The Development of Land Readjustment Models in Serbia and South-East Europe
(MDPI, 2022)
Land readjustment (LR) is increasingly applied as a tool of urban policy implementation in many countries of the world. In Serbia, LR is a new tool that is being introduced into the legal system and into planning practice, ...
A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
(PeerJ, 2022)
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use/Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of spatial and spatiotemporal ...
Influence of the solar hydrogen Lya line on the GNSS signal delay in the ionospheric D-region
(Astronomical Institute of the Slovak Academy of Sciences, 2022)
Recent research indicates that the influence of the ionospheric D-region on the propagation of satellite signals cannot be ignored during the intense X-radiation emitted during solar X-ray flares. In this paper, we investigate ...