Applied sciences

Advances in Geodesy and Geoinformation


Geodesy and Cartography | 2021 | vol. 70 | No 2

Download PDF Download RIS Download Bibtex


The European reference frame ETRF2000 was introduced on the territory of Poland on 1 July 2013, named PL-ETRF2000, as a result of the appropriate measurement campaign 2008-2011. The new PL-ETRF2000 reference frame has replaced the previously used PL-ETRF89 frame, which had more than 10 years of history in Poland until 2013, implemented in almost all geodetic and cartographic “products”, in geodetic networks, economic map systems and databases. The relationship of the new reference frame with the previously used PL-ETRF89 frame has become an important practical issue. Currently, all position services of the ASG-EUPOS (Active Geodetic Network – EUPOS) system use only the PL-ETRF2000 reference frame, which also results from the relevant legal and technical regulations. The relationships between the frames was considered in two aspects: “theoretical”, expressed by conformal (Helmert, 7-parameter) transformation, and “empirical”, based on an interpolation grid that allows to take into account local distortions of the PL-ETRF89 frame. The estimation of the parameters of the conformal transformation model was based on 330 points of the POLREF network, while to create an interpolation grid approximately 6500 points of the old triangulation network were additionally used, after new adjustment in PL-ETRF200 reference frame. Basic algorithms for the transformation between two frames and mapping systems are implemented in the new version of the TRANSPOL program, which is available on the web (
Go to article


Balcerzak, J. (1994). Odwzorowanie Gaussa-Krügera w szerokiej 12° strefie dla obszaru Polski. IX Szkoła Kartograficzna. Komorowo, 10–14.10.1994.

Bosy, J. (2011). Weryfikacja wyników integracji podstawowej osnowy geodezyjnej na obszarze kraju ze stacjami referencyjnymi systemu ASG-EUPOS. Wrocław, 30.11.2011. Raport dla GUGiK Warszawa.

Deakin, R.E. (1998). 3D Coordinate transformations. Survey. Land Inf. Systems. 58, 4, pp. 223–234.

Deutsch, R. (1965). Estimation Theory. Englewood Cliffs: Prentice-Hall, Inc.

Jaworski, L. (2011). Zintegrowanie podstawowej osnowy geodezyjnej na obszarze Polski ze stacjami referencyjnymi systemu ASG-EUPOS ETAP IV. Opracowanie i wyrównanie obserwacji GNSS. Raport CBK dla GUGiK, lipiec 2011, Warszawa (Pomiary wykonane przez konsorcjum firm geodezyjnych).

Hausbrandt, S. (1971). Rachunek wyrównawczy i obliczenia geodezyjne. Tom I i II. Warszawa: PPWK. Transformation between the PL-ETRF89 and PL-ETRF2000 frames 19

Kadaj, R. (2001). Formuły odwzorowawcze i parametry układów współrzędnych (Mapping formulas and parameters of coordinate systems). Wytyczne Techniczne G-1.10. GUGiK 2001, ISBN-83-239- 1473-7.

Kadaj, R. and Świętoń, T. (2012). TRANSPOL wersja 2.06 – program do transformacji współrzędnych i wysokości w państwowym systemie odniesień przestrzennych – metody, algorytmy i opis programu (TRANSPOL version 2.06 – a program for the transformation of coordinates and heights in the state system of spatial references – methods, algorithms and description of the program). Internet publication of GUGiK – Head of the Office of Geodesy and Cartography,

Kadaj R. (2013). Skutki metryczne zmiany układów odniesienia: PL-ETRF89 na PL-ETRF2000 oraz PLKRON86- NH na PL-EVRF2007-NH w obszarze Polski (Metric effects of change of reference systems: PL-ETRF89 on PL-ETRF2000 and PL-KRON86-NH on PL-EVRF2007-NH in the area of Poland). In conf. Sekcji Geod. Sat. Komitetu Badań Kosmicznych i Satelitarnych PAN “Satelitarne metody wyznaczania pozycji we współczesnej geodezji i nawigacji”. AGH, Cracow, 24–27.09.2013.

Kozakiewicz, W. (1998). Wyrównanie pierwsza klasa. Geodeta, no. 2(33).

Liwosz, T., Rogowski, J., Kruczyk, M. et al. (2011). Wyrównanie kontrolne obserwacji satelitarnych GNSS wykonanych na punktach ASG-EUPOS, EUREF-POL, EUVN, POLREF i osnowy I klasy wraz z ocena wyników. Katedra Geodezji i Astronomii Geodezyjnej Wydział Geodezji i Kartografii Politechnika Warszawska. Warszawa, 15.12.2011. Raport dla GUGiK Warszawa.

Watson, G.A. (2006). Computing Helmert transformation. J. Comput. Appl. Math., 197, 387–394.

Zawadzki, J. (2011). Metody geostatyczne (Geostatic methods).Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej.
Go to article

Authors and Affiliations

Roman Kadaj

  1. Rzeszów University of Technology, Rzeszów, Poland
Download PDF Download RIS Download Bibtex


It is proved that the regional land-use territorial development is influenced by many factors, so the study of the assessment of territorial development is an urgent task. As a result of generalization of theoretical and methodological provisions, the definition of regional land-use territorial development is given, which is characterized as a system category that defines permanent transformational changes and considers spatial, urban, environmental and investment factors and improves land-use efficiency. It is established that the existing methodological approaches to the assessment of territorial development of land-use do not have a comprehensive approach and consider only certain factors. For a comprehensive and comprehensive assessment of the level of territorial development of land-use, a model is proposed, which is based on the definition of an integrated indicator. The formation of the model includes the following main stages: geofactor analysis, formation of a multilevel system of indicators, assessment and establishment of the level of impact of the indicator, determination of integrated indicators for each factor, formation of a general integrated indicator of land-use, interpretation of results. The technological feasibility of the model is determined by the formation of a set of spatial, urban, investment and environmental factors, the construction of a multilevel diagnostic system of indicators, their evaluation based on modern methods and the development of mathematical models. To obtain actual spatial and cadastral data to assess the territorial development of land-use, it is advisable to use forms of administrative cadastral reporting and space images.
Go to article


Blandinier, J.P. (2001). Problems of urban planning and landscaping. Economics. Finan´nes. Law 3, 3–4.

Martyn, A.G. (2011). Land market regulation in Ukraine: monograph. Kyiv: AgrarMediaGroup.

Mamonov, K., Frolov, V., Kondratyuk, I. et al. (2020). Territorial development of land-use in regions: conceptual provisions, problems and a methodological approach to assessment. Municipal utilities, 154, 154–158.

Palekha, Y.M. (2009). Theory and practice of evaluation of territories value and land valuation of settlements of Ukraine (economic-geographical research). ScD thesis. Kyiv: Institute of Geography of the National Academy of Sciences of Ukraine.

Pilicheva, M.O. (2009). Geometric correction of space images. Geodesy, Architecture & Construction. Retrieved May, 2021, from: Doklad_ Pilicheva.pdf.

Pilicheva, M.O. (2016). Study of the methods of satellite images orthorectification. Collection of scientific works of Kharkiv University of the Air Force, 2(47), 111–114.

Riasnianska, A. (2016). The efficiency estimation of land-use at agricultural enterprises. Scientific Bulletin of Uzhhorod National University, 2, 65–69.

Shipulin, V.D. (2014). Perspective of land administration. Land Management Bulletin, 5, 35–39.

Stupen, M., Radomsky, S., and Taratuta, R. (2011). Efficiency of agricultural land-use in the agricultural sector of Zakarpattia region. Economist, 2, 30–32.

Tretyak, A.M. and Babmindra, D.I. (2003). Land resources of Ukraine and their use. Kyiv: CZRU LLC.

Wen, M. and Mamonov, K.A. (2021). Territorial development of the use lands in coastal regions: definition, assessment and transformation directions: monograph. Kharkiv: O.M. Beketov NUUE.

Williamson, I., Enemark, S., Wallace, J. et al. (2010)). Land administration for sustainable development. Esri Press. Retrieved May, 2021, from:

Order of the Ministry of regional development, construction and housing and communal economy of Ukraine “On approval of forms of administrative reporting on the quantitative accounting of lands (forms No 11-zem, 12-zem, 15-zem, 16-zem) and Instructions for completing them” (2015). 30.12.2015 No 337. Retrieved May, 2021, from:
Go to article

Authors and Affiliations

Kostiantyn Mamonov
Iurii Sklyar
Maryna Pilicheva
Vladimir Kasyanov
Eduard Shyshkin

  1. O.M. Beketov National University of Urban Economy, Kharkiv, Ukraine
Download PDF Download RIS Download Bibtex


The purpose of the article is to substantiate the basic conceptual provisions for determining the territorial development of regional land use. In accordance with the purpose, the following tasks have been solved: substantiation of theoretical provisions for determining the territorial development of regional land use; determination of features of territorial development of regional land use; formation of hypotheses on the influence of spatial, urban, investment and environmental factors. Peculiarities of territorial development of regional land use are determined. Legal support is proposed. The international practices for ensuring the territorial development of regional land use are summarized, the main directions of which are: the formation and development of land relations on a long-term basis, the determination of the target and functional purpose of lands, the constant registration of cadastral information with the formation of an ecological balance of the land use and considering the peculiarities of interaction between groups of stakeholders. The system of land administration, where its functions (land ownership, valuation, use, development of land) are comprehensively implemented and interact, in the territorial development of regional land use is of particular importance. The geographic information systems are widely used as a tool for the formation, processing and application of information on the territorial development of the regional land use in modern land administration systems. The mathematical modelling of the influence of factors on the territorial development of regional land use has been carried out.
Go to article


Blandinier, J.P. (2001). Problems of urban planning and landscaping. Economics. Finan´nes. Law 3, 3–4.

Dorosh, O.S. (2004). Management of land resources at the regional level. Kyiv: TOV “TSZRU”.

Hutsulyak, Y.D. (2002). Management of land resources in the conditions of market economy. Chernivtsi: Prut.

Kaminetska, O.V. (2017). Methodological basis of the research department of land resource potential areas. Agrosvit, 13, 39–42,

Mamonov, K. (2019). Territorial development of land use in the region: definition, evaluation and directions of transformations: a monograph. Kharkiv: FOP Panov AM.

Mamonov, K. (2020). Territorial development of land use in the region: directions and features of evaluation: a monograph. Kharkiv: O.M. Beketov NUUE.

Martin, A.G. (2011). Land market regulation in Ukraine: monograph. Kyiv: AgrarMediaGroup.

Palekha, Y.M. (2009). Theory and practice of evaluation of territories value and land valuation of settlements of Ukraine (economic-geographical research). ScD thesis. Kyiv: Institute of Geography of the National Academy of Sciences of Ukraine.

Perovich L. (2011). Current state and development prospects cadastral system in Ukraine. Modern achievements of geodesic science and industry, 2(22), 40–42.

Petrakovska, O. (2005). Fundamentals of urban land management methodology. Regional Problems of Architecture and Urban Planning, 8, 386–391.

Shipulin, V.D. (2014). Perspective of land administration. Land Management Bulletin, 5, 35–39.

Shipulin, V.D. (2016). System of land administration: basics of modern theory: a textbook. Kharkiv: KhNUMG named after OM Beketov.

State Geocadastre. (2018). Monitoring of land relations in Ukraine: 2016–2017. Statistical yearbook. Retrieved May 2021, from:

State Statistics Service of Ukraine. (2020). Retrieved May 2021, from:

Stupen, M., Radomsky, S., Taratuta, R. (2011). Efficiency of agricultural land use in the agricultural sector of Zakarpattia region. Economist, 2, 30–32.

Tretiak, A., Tretiak, V., Kovalyshyn, O. et al. (2016). Improvement of the technique of rural lands assessment in Ukraine. Economist. Land relations, 5, 38–40.

Tretyak, A.M. and Babmindra, D.I. (2003). Land resources of Ukraine and their use. Kyiv: CZRU LLC.

Williamson, I., Enemark, S., Wallace, J. et al. (2010). Land administration for sustainable development. Retrieved May, 2021, from Esri Press
Go to article

Authors and Affiliations

Kostiantyn Mamonov
Olena Kanivets
Kostiantyn Viatkin
Oleksii Voronkov

  1. O.M. Beketov National University of Urban Economy, Kharkiv, Ukraine
  2. Sumy National Agrarian University, Sumy, Ukraine
Download PDF Download RIS Download Bibtex


Water vapour radiometers (WVR) provide information about temperature and humidity in the troposphere, with high temporal resolution when compared to the radiosonde (RS) observations. This technique can provide an additional reference data source for the zenith tropospheric delay (ZTD) estimated with the use of the Global Navigation Satellite System (GNSS). In this work, the accuracy of two newly installed radiometers was examined by comparison with RS observations, in terms of temperature (T), absolute humidity (AH), and relative humidity (RH), as well as for the ZTD. The impact of cloud covering and heavy precipitation events on the quality of WVR measurements was investigated. Also, the WVR data were compared to the GNSS ZTD estimates. The experiment was performed for 17 months during 2020 and 2021. The results show agreement between RS and WVR data at the level of 2◦C in T and 1 gm-3 in AH, whereas for RH larger discrepancies were noticed (standard deviation equal to 21%). Heavy precipitation increases WVR measurement errors of all meteorological parameters. In terms of ZTD, the comparison of WVR and RS techniques results in bias equal to –0.4 m and a standard deviation of 7.4 mm. The largest discrepancies of ZTD were noticed during the summer period. The comparison between the GNSS and WVR gives similar results as the comparison between the GNSS and RS (standard deviation 7.0–9.0 mm).
Go to article


Bauer, H.-S.,Wulfmeyer, V., Schwitalla, T. et al. (2011). Operational assimilation of GPS slant path delay measurements into the MM5 4DVAR system. Tellus A: Dynamic Meteorology and Oceanography, 63, 263–282. DOI: 10.1111/j.1600-0870.2010.00489.x.
Bengtsson, L. (2010). The global atmospheric water cycle. Environ. Res. Lett., 5, 202. DOI: 10.1088/1748-9326/5/2/025202.
Bennitt, G.V. and Jupp, A. (2012). Operational assimilation of GPS zenith total delay observations into the Met Office numerical weather prediction models. Mon. Weather Rev., 140, 2706–2719. DOI: 10.1175/MWR-D-11-00156.1.
Bevis, M., Businger, S., Chiswell, T.A. et al. (1994). Gps meteorology: Mapping zenith wet delays onto precipitable water. J. Appl. Meteorol. Climatol., 33 (3), 379–386. DOI: 10.1175/1520-0450(1994)0330379:GMMZWD>2.0.CO;2.
Bock, O., Bosser, P., Pacione, R. et al. (2016). A high-quality reprocessed ground-based GPS dataset for atmospheric process studies, radiosonde and model evaluation, and reanalysis of HyMeX Special Observing Period. Q. J. R. Meteorol. Soc., 142, 56–71. DOI: 10.1002/qj.2701.
Böhm, J. and Schuh, H. (2013). Atmospheric effects in space geodesy. Springer. DOI: 10.1007/978-3-642-36932-2S.
Boniface, K., Ducrocq, V., Jaubert, G. et al. (2009). Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting. Ann. Geophys., 27, 2739–2753. DOI: 10.5194/angeo-27-2739-2009.
Brenot, H., Rohm, W., Kaˇcmaˇrík, M. et al. (2020). Cross-Comparison and methodological improvement in GPS tomography. Remote Sens., 12(1), 30. DOI: 10.3390/rs12010030.
Buehler, S., Östman, S., Melsheimer, C. et al. (2012). A multi-instrument comparison of integrated water vapour measurements at a high latitude site. Atmospheric Chem. Phys., 12, 10925–10943. DOI:
Churnside, J.H., Stermitz, T.A., and Schroeder, J.A. (1994). Temperature Profiling with Neural Network Inversion of Microwave Radiometer Data. J. Atmos. Ocean Technol., 11(1).
Crewell, S., and Lohnert, U. (2007). Accuracy of boundary layer temperature profiles retrieved with multifrequency multiangle microwave radiometry. IEEE Trans.Geosci.Remote Sens., 45(7), 2195–2201. DOI: 10.1109/TGRS.2006.888434.
Dach, R., Lutz, S., Walser, P. et al. (2015). Bernese GNSS Software Version 5.2. User manual, Astronomical Institute. Universtiy of Bern: Bern Open Publishing.
Dai, A., Wang, J., Ware, R.H. et al. (2002). Diurnal variation in water vapor over North America and its implications for sampling errors in radiosonde humidity. J. Geophys. Ress: Atmos., 107, ACL-11. DOI: 10.1029/2001JD000642.
Dymarska, N., Rohm, W., Sierny, J. et al. (2017). An assessment of the quality of near-real time GNSS observations as a potential data source for meteorology. Meteorol. Hydro. Water Managem. Res. Operational Applications, 5, 3–13. DOI: 10.26491/mhwm/65146.
Emardson, T.R., Johansson J.M., and Elgered G. (2000). The systematic behavior of water vapor estimates using four years of GPS observations. IEEE Trans. Geosci. Remote Sens., 38, 324–329. DOI: 10.1109/36.823927.
Ferraro, R.R., Kusselson, S.J., and Colton, M. (1998). An introduction to passive microwave remote sensing and its applications to meteorological analysis and forecasting. Polarization, 1(2). DOI:
Ferreira, J.A., Liberato, M.L., and Ramos, A.M. (2016). On the relationship between atmospheric water vapour transport and extra-tropical cyclones development. Phys. Chemis. Earth, Parts A/B/C, 94, 56–65. DOI: 10.1016/j.pce.2016.01.001.
Frate, F.D. and Schiavon, G. (1998). A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles. Radio Sci., 33, 405–410. DOI: 10.1029/97RS02219.
Gradinarsky, L., Johansson, J., Bouma, H. et al. (2002). Climate monitoring using GPS. Phys. Chemis. Earth, Parts A/B/C, 27, 335–340. DOI: 10.1016/S1474-7065(02)00009-8.
Guerova, G., Brockmann, E., Schubiger, F. et al. (2005). An integrated assessment of measured and modeled integrated water vapor in Switzerland for the period 2001-03. J. Appl. Meteorol. Climatol., 44, 1033–1044. DOI: 10.1175/JAM2255.1.
Guerova, G., Jones, J., Douša, J. et al. (2016). Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe. Atmos. Meas. Tech., 9, 5385–5406. DOI: 10.5194/amt-9-5385-2016.
Haase, J., Ge, M., Vedel, H. et al. (2003). Accuracy and variability of GPS tropospheric delay measurements of water vapor in the western Mediterranean. J. Appl. Meteorol., 42(11), 1547–1568. DOI: 10.1175/1520-0450(2003)0421547:AAVOGT>2.0.CO;2.
Hanna, N., Trzcina, E., Möller, G. et al. (2019). Assimilation of GNSS tomography products into WRF using radio occultation data assimilation operator. Atmos. Meas.Tech.s Discuss., 1–32. DOI: 10.5194/amt-12-4829-2019.
Ingram,W. (2010). A very simple model for the water vapour feedback on climate change. Quarterly J. R. Meteorol. Soc., 136, 30–40. DOI: 10.1002/qj.546.
Jacob, D. (2001). The role of water vapour in the atmosphere. A short overview from a climate modeller’s point of view. Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, 26, 523–527. DOI: 10.1016/S1464-1895(01)00094-1.
Jung, T., Ruprecht, E., and Wagner, F. (1998). Determination of cloud liquid water path over the oceans from Special Sensor Microwave/Imager (SSM/I) data using neural networks. J. Appl. Meteorol., 37, 832–844. DOI: 10.1175/1520-0450(1998)0370832:DOCLWP>2.0.CO;2.
Karabati´c, A., Weber, R., and Haiden, T. (2011). Near real-time estimation of tropospheric water vapour content from ground based GNSS data and its potential contribution to weather now-casting in Austria. Adv. Space Res., 47, 1691–1703. DOI: 10.1016/j.asr.2010.10.028.
Kleijer, F. (2004). Troposphere modeling and filtering for precise GPS leveling. Ph.D. thesis. TU Delft: Delft University of Technology. DOI: 10.26491/mhwm/65146.
Kryza, M., Werner, M., Wałszek, K. et al. (2013). Application and evaluation of the WRF model for high-resolution forecasting of rainfall-a case study of SW Poland. Meteorologische Zeitschrift, 22, 595–601. DOI: 10.1127/0941-2948/2013/0444.
Liang, H., Cao, Y., Wan, X. et al. (2015). Meteorological applications of precipitable water vapor measurements retrieved by the national GNSS network of China. Geod. Geodyn., 6, 135–142. DOI: 10.1016/J.GEOG.2015.03.001.
Liou, Y.-A., Teng, Y.-T., Van Hove, T. et al. (2001). Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes. J. Appl. Meteorol., 40, 5–15. DOI: 10.1175/1520-0450(2001)0400005:COPWOI>2.0.CO;2.
Liu, J., Sun, Z., Liang, H. et al. (2005). Precipitable water vapor on the Tibetan Plateau estimated by GPS, water vapor radiometer, radiosonde, and numerical weather prediction analysis and its impact on the radiation budget. J. Geophys. Res. Atmos., 110. DOI: 10.1029/2004JD005715.
Löhnert, U., Turner, D.D., and Crewell, S. (2009). Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part I: Simulated Retrieval Performance in Clear-Sky Conditions. J. Appl. Meteorol. Climatol., 48(5), 1017–1032. DOI: 10.1175/2008JAMC2060.1.
Löhnert, U., and Maier, O. (2012). Operational profiling of temperature using ground-based microwave radiometry at Payerne: Prospects and challenges. Atmos. Meas. Tech., 5(5), 1121–1134. DOI: 10.5194/amt-5-1121-2012.
Lu, C., Li, X., Li, Z. et al. (2016). GNSS tropospheric gradients with high temporal resolution and their effect on precise positioning. J. Geophys. Res. Atmos., 121, 912–930. DOI: 10.1002/2015JD024255.
Mahfouf, J.-F., Ahmed, F., Moll, P. et al. (2015). Assimilation of zenith total delays in the AROME France convective scale model: a recent assessment. Tellus A: Dyn. Meteorol. Oceanogr., 67, 26106. DOI: 10.3402/tellusa.v67.26106.
Massaro, G., Stiperski, I., Pospichal, B. et al. (2015). Accuracy of retrieving temperature and humidity profiles by ground-based microwave radiometry in truly complex terrain. Atmos. Meas. Tech., 8(8), 3355–3367. DOI: 10.5194/amt-8-3355-2015.
Miloshevich, L.M., Paukkunen, A., Vömel, H. et al. (2004). Development and validation of a time-lag correction for Vaisala radiosonde humidity measurements. J. Atmos. Oceanic Tech., 21, 1305–1327. DOI: 10.1175/1520-0426(2004)0211305:DAVOAT>2.0.CO;2.
Möller, G., Wittmann, C., Yan, X. et al. (2015). 3D ground based GNSS atmospheric tomography. Final report, FFG project GNSS-ATom (ID:840098).
Morland, J., Collaud Coen, M., Hocke, K. et al. (2009). Tropospheric water vapour above Switzerland over the last 12 years. Atmos. Chemis. Phys., 9, 5975–5988, 2009. DOI: 10.5194/acp-9-5975-2009.
Ning, T. and Elgered, G. (2021). High temporal resolution wet delay gradients estimated from multi-GNSS and microwave radiometer observations. Atmos. Meas. Tech. Discuss., 1–21. DOI: 10.5194/amt-14-5593-2021.
Offiler, D. (2010). EIG EUMETNET GNSSWater Vapour Programme (E-GVAP-II) Product Requirements Document. Tech. rep. EIG EUMETNET.
Ohtani, R. and Naito, I. (2000). Comparisons of GPS-derived precipitable water vapors with radiosonde observations in Japan. J. Geophys. Res. Atmos., 105, 26917–26929. DOI: 10.1029/2000JD900362.
Pacione, R., Pace, B., Vedel, H. et al. (2011). Combination methods of tropospheric time series. Adv. Space Res. DOI: 10.1016/j.asr.2010.07.021.
Pacione, R., Araszkiewicz, A., Brockmann, E. et al. (2017). EPN-Repro2: A reference GNSS tropospheric data set over Europe. Atmos. Meas. Tech., 10, 1689–1705. DOI: 10.5194/amt-10-1689-2017.
Rocken, C., Van Hove, T., Johnson et al. (1995). GPS/STORM–GPS sensing of atmospheric water vapor for meteorology. J. Atmos. Oceanic Technol., 12, 468–478. DOI: 10.1175/1520-0426(1995)0120468:GSOAWV>2.0.CO;2.
Rohm, W., Guzikowski, J., Wilgan, K. et al. (2019). 4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF. Atmos. Meas.Tech., 12, 345–361. DOI: 10.5194/amt-12-345-2019.
RPG: Operation Principles and Software Description for RPG standard single polarization radiometers (G5series), Radiometer Physics GmbH,Werner-von-Siemens-Str. 4, 53340 Meckenheim, Germany, 12 edn.,, 2017.
Sá, A., Rohm, W., Fernandes, R.M. et al. (2021). Approach to leveraging real-time GNSS tomography usage. J. Geod., 95(1), 1–21. DOI: 10.1007/s00190-020-01464-7.
Shangguan, M., Heise, S., Bender, M. et al. (2015). Validation of GPS atmospheric water vapor with WVR data in satellite tracking mode. Annal. Geophys., 33, 55–61. DOI: 10.5194/angeo-33-55-2015.
Skamarock, W.C., Klemp, J.B., Dudhia, J. et al. (2008). A description of the Advanced Research WRF version 3. NCAR Technical note-475+ STR. DOI: 10.5065/D68S4MVH.
Solheim, F., Godwin, J.R., Westwater, E. et al. (1998). Radiometric profiling of temperature, water vapor and cloud liquid water using various inversion methods. Radio Sci., 33, 393–404. DOI: 10.1029/97RS03656.
Thayer, G.D. (1974). An improved equation for the radio refractive index of air. Radio Sci., 9, 803–807. DOI: 10.1029/RS009i010p00803.
Tonda´s, D., Kapłon, J., and Rohm, W. (2020). Ultra-fast near real-time estimation of troposphere parameters and coordinates from GPS data. Measurement, 107849. DOI: 10.1016/j.measurement.2020.107849.
Trzcina, E. and Rohm,W. (2019). Estimation of 3D wet refractivity by tomography, combining GNSS and NWP data: First results from assimilation of wet refractivity into NWP. Q. J. R. Meteorol. Soc., 145, 1034–1051. DOI: 10.1002/qj.3475.
Trzcina, E., Hanna, N., Kryza, M. et al. (2020). TOMOREF Operator for Assimilation of GNSS TomographyWet Refractivity Fields in WRF DA System. J. Geophys. Res. Atmos., 125, e2020JD032, 451. DOI: 10.1029/2020JD032451.
Ulaby, F., Moore, R., and Fung, A. (1986). An improved equation for the radio refractive index of air. Artech House, I–II. DOI: 10.1029/RS009i010p00803.
Van Baelen, J., Aubagnac, J.-P., and Dabas, A. (2005). Comparison of near–real time estimates of integrated water vapor derived with GPS, radiosondes, and microwave radiometer. J. Atmos. Oceanic Tech., 22, 201–210. DOI: 10.1175/JTECH-1697.1.
Van Baelen, J., Reverdy, M., Tridon, F. et al. (2011). On the relationship between water vapour field evolution and the life cycle of precipitation systems. Q. J. R. Meteorol. Soc., 137, 204–223. DOI: 10.1002/qj.785.
Vey, S., Dietrich, R., Rülke, A. et al. (2010). Validation of precipitable water vapor within the NCEP/DOE reanalysis using global GPS observations from one decade. J. Clim., 23, 1675–1695. DOI: 10.1175/2009JCLI2787.1.
Wang, J. and Liu, Z. (2019). Improving GNSS PPP accuracy through WVR PWV augmentation. J. Geod., 93, 1685–1705. DOI: 10.1007/s00190-019-01278-2.
Wilgan, K., Rohm, W., and Bosy, J. (2015). Multi-observation meteorological and GNSS data comparison with Numerical Weather Prediction model. Atmos. Res., 156, 29–42. DOI: 10.1016/j.atmosres.2014.12.011.
Zhao, Q., Yao, Y., Yao, W. et al. (2019a). GNSS-derived PWV and comparison with radiosonde and ECMWF ERA-Interim data over mainland China. J. Atmos. and Sol.-Terr. Phys., 182, 85–92. DOI: 10.1016/j.jastp.2018.11.004.
Zhao, Y., Xu, X., Zhao, T. et al. (2019b). Effects of the Tibetan Plateau and its second staircase terrain on rainstorms over North China: From the perspective of water vapour transport. Intern. J. Climat., 39, 3121–3133. DOI: 10.1002/joc.6000.
Zus, F., Wickert, J., Bauer, H.S. et al. (2011). Experiments of GPS slant path data assimilation with an advanced MM5 4DVAR system. Meteorologische Zeitschrift, 173–184. DOI: 10.1127/0941-2948/2011/0232.
Go to article

Authors and Affiliations

Estera Trzcina
Damian Tondaś
Witold Rohm

  1. Wroclaw University of Environmental and Life Science, Wroclaw, Poland
Download PDF Download RIS Download Bibtex


This work aims to study the vertical planning method for the terrain area as part of the process of construction geodetic support. Such planning will be carried out based on the aerial survey data from UAVs, which allow the creation of a high-quality digital elevation model (DEM) with sufficient node density for reliable surface terrain modelling. During the study, we test the hypothesis of the possibility of using archival aerial photographs from UAVs to model the terrain of the local area. Both the actual achievable accuracy of terrain modeling in the course of photogrammetric processing of archived aerial photographs, and methods for creating a polygonal terrain model using input spatial data in the form of clouds of 3D points of a given density require analysis. To do this, we will perform comparisons of the accuracy of calculating earth masses, carried out based on the digital triangulation elevation models (TIN). These models were based on different algorithms for creating Delaunay triangulation with different degrees of 3D point sparsity.We proposed to use sparsity of dense clouds of points representing the surface of the terrain and which were obtained by the photogrammetric method. Computer terrain modelling and calculation of vertical planning parameters were performed by us for the area with flat terrain at angles up to 3.5 degrees. We evaluated the potential of archived UAV aerial photographs and algorithms for creating Delaunay triangulation at different densities of its nodes for calculating the volumes of earth masses.
Go to article


Abris Design Group (2021).
Aguilar, F.J., Rivas, J.R., Nemmaoui, A. et al. (2019). UAV-Based Digital Terrain Model Generation under Leaf-Off Conditions to Support Teak Plantations Inventories in Tropical Dry Forests. A Case of the Coastal Region of Ecuador. Sensors, 19(8), 1934. DOI: 10.3390/s19081934.
Akgul, M., Yurtseven, H., Gulci, S. et al. (2018). Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume. Arab. J. Sci. Eng., 43, 1893–1909. DOI: 10.1007/s13369-017-2811-9.
Al-Jabbar Hadi, A.A. and Alhaydary, M. (2018). Calculations of earthwork quantity by using civil 3d. J. Engineer. Sustain. Dev., 6, 13–20. DOI: 10.31272/jeasd.2018.6.2.
Baran, P.I. and Marushchak, M.P. (2011). Methods of vertical planning for construction sites. Geodesy Cartogr., 6, 9–15.
Burshtynska, Kh.V. and Zayats, O.S. (2002). Research of accuracy of construction of digital models of a relief on the basis of cartographic data. Geodesy Cartogr., 2, 26–31.
Christ, A., Europe, E., and Horlbeck, I. (2018). Simplify Your 3D Models – Collaborative Engineering Based on Lightweight CAD Data. Product Data Journal, 2, 28–31. journal-2018-02/en/#28.
Chudý, R., Iring, M., and Feciskanin, R. (2013). Evaluation of the data quality of digital elevation models in the context of INSPIRE. Geoscience Engineering, 2, 9–24. DOI: 10.2478/gse-2014-0053.
Dorozhinsky, O. and Tukay, R. (2008). Photogrammetry. Textbook. Lviv: Lviv Polytechnic National University Publishing House.
Garasymchuk, I.F. (2003). Operational method elaboration of the soil volume determination. PhD thesis (geodesy). National University “Lviv Polytechnic”. Lviv.
Haronian, E. and Sacks, R. (2020). Production process evaluation for earthworks. In Tommelein, I.D. and Daniel, E. (eds.), Proceedings of 28th Annual Conference of the International Group for Lean Construction (IGLC28), Berkeley, California, USA. DOI: 10.24928/2020/0020.
Hlotov, V., Hunina, R´ ., Kolesnichenko, V. et al. (2018). Development and investigation of UAV for aerial surveying. Geodesy Cartogr. Aerial Photogr., 87, 48–57. DOI: 10.23939/istcgcap2018.01.048.
Hamid I.H.A., Narendrannathan, N., Choy L.E. et al. (2019). Innovation in earthwork practices. In IOP Conference Series Materials Science and Engineering, 512:012054. DOI: 10.1088/1757- 899X/512/1/012054.
Kolb, I.Z. (2000). The analytical aerial triangulation when the coordinates of centers of projection are known. PhD thesis (geodesy). Lviv Polytechnic National University, Lviv.
Kong, N.T. (2011). Research and development of a high-performance algorithm for constructing digital elevation models. PhD thesis (geodesy). Moscow State University of Geodesy and Cartography, Moscow.
Kostov, G. (2016). Vertical planning based on 3d terrestrial laser scanning and GNSS technologies. In XXV International symposium on modern technologies, education and professional practice in geodesy and related fields. Sofia, November 3-4, 2016.
Liu, Q., Duan, Q., Zhao, P. et al. (2021). Summary of calculation methods of engineering earthwork. J. Phys. Conference Series, 1802, 032002. DOI: 10.1088/1742-6596/1802/3/032002.
Ministry of Justice of Ukraine. (1998). Instruction on topographic survey in scales 1:5000, 1:2000, 1:1000 and 1:500 (GKNTA-2.04-02-98), approved by the order of Ukrgeodeskartografiya dated 09.04.98, No. 56, registered in the Ministry of Justice of Ukraine on 23.06.98, No. 393/2833.
Novakovsky, B.A. and Permyakov, R.V. (2019). Complex geoinformation-photogrammetric modeling of relief: a tutorial. Moscow: Publishing house MIIGAiK.
Ostrovsky, A. (2015a). Criteria of quality, accuracy and completeness digital elevation models. Engineer. Geodesy, 62, 23–31.
Ostrovsky, A.V. (2015b). Review of some methods of relief approximation. Mìstobuduvannâ ta teritorìal’ne planuvannâ, 58, 380–391.
Ostrovsky, A.V. (2016). Features of using kriging method for approximating relief. Journal of Lviv National Agrarian University. Architecture and Farm Building, 17, 33–41. Photomod. (2019). Digital photogrammetric system Photomod. Version 6.0.1 User Guide. Creation of a digital elevation model. Moscow: Rakurs.
Qiu, L. (2017). Vertical urban planning and flood control and drainage using GIS technology. Open House International, 42(3), 10–14. DOI: 10.1108/OHI-03-2017-B0003.
Ravibabu, M.V. and Jain, K. (2008). Digital elevation model accuracy aspects. J. Appl. Sci., 8(1), 134–139. DOI: 10.3923/jas.2008.134.139.
Rudyj, R.M. (2016). Application of artificial neural networks for classifying surface areas with a certain relief. Geodesy Cartogr. Aerial Photogr., 83, 124–132. DOI: 10.23939/istcgcap2016.01.124.
Schultz, R.V., Belous, M.V., Annenkov, A.O. et al. (2013). Features of engineering and geodetic support for the construction of Arena Lviv stadium. Mìstobuduvannâ ta teritorìal’ne planuvannâ, 50, 759– 766.
Schultz, R.V. and Ostrovsky, A.V. (2016). Investigation of the statistical distribution of residual deviations for various approaches to digital elevation modeling. Scientific Journal, 1/2(18), 44–52.
Toth, C., Jozkow, G., and Grejner-Brzezinska, D. (2015). Mapping with small UAS: A point cloud accuracy assessment. J. Appl. Geod., 9(4), 213–226. DOI: 10.1515/jag-2015-0017.
Zhilin, L., Qing, Z., and Chris, G. (2005). Digital terrain modeling: principles and methodology. CRC Press.
Go to article

Authors and Affiliations

Ihor Trevoho
Apollinariy Ostrovskiy
Ihor Kolb
Olena Ostrovska
Viacheslav Zhyvchuk

  1. Lviv Polytechnic National University, Lviv, Ukraine
  2. Hetman Petro Sahaidachnyi National Army Academy, Lviv, Ukraine
  3. Lviv Technical and Economic College of Lviv Polytechnic National University, Lviv, Ukraine
  4. 2Hetman Petro Sahaidachnyi National Army Academy, Lviv, Ukraine
Download PDF Download RIS Download Bibtex


One of the most critical factors which determine the accuracy of deformation maps provided by Differential Synthetic Aperture Radar Interferometry (DInSAR) are atmospheric artefacts. Nowadays, one of the most popular approaches to minimize atmospheric artefacts is Generic Atmospheric Correction Online Service for InSAR (GACOS). Nevertheless, in the literature, the authors reported various effects of GACOS correction on the deformation estimates in different study areas Therefore, this paper aims to assess the effect of GACOS correction on the accuracy of DInSAR-based deformation monitoring in USCB by using Sentinel-1 data. For the accuracy evaluation, eight Global Navigation Satellite Systems (GNSS) permanent stations, as well as five low-cost GNSS receivers were utilized. GACOS-based DInSAR products were evaluated for: (1) single interferograms in different geometries; (2) cumulative deformation maps in various geometries and (3) decomposed results delivered from GACOS-based DInSAR measurements. Generally, based on the achieved results, GACOS correction had a positive effect on the accuracy of the deformation estimates in USCB by using DInSAR approach and Sentinel-1 data in each before mentioned aspect. When considering (1), it was possible to achieve Root Mean Square Error (RMSE) below 1 cm for a single interferogram for only 20% and 26% of the ascending and descending investigated interferograms, respectively when compared with GNSS measurements. The RMSE below 2 cm was achieved by 47% and 66% of the descending and ascending interferograms, respectively.
Go to article


Berardino, P., Fornaro, G., Lanari, R. et. al. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans. Geosci. Remote Sens., 40, 2375–2383. DOI: 10.1109/TGRS.2002.803792.
Biagi, L., Grec, F.C., and Negretti, M. (2016). Low-cost GNSS receivers for local monitoring: Experimental simulation, and analysis of displacements. Sensors, 16(12), 2140. DOI: 10.3390/s16122140.
Boehm, J., Niell, A., Tregoning, P. et al. (2006). Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data. Geophys. Res. Lett., 33, 7. DOI: 10.1029/2005GL025546.
Cianflone, G., Tolomei, C., Brunori, C.A. et al. (2015). InSAR time series analysis of natural and anthropogenic coastal plain subsidence: The case of sibari (Southern Italy). Remote Sens., 7, 16004–16023. DOI: 10.3390/rs71215812.
Chen, G. and Herring, T.A. (1997). Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data. J. Geophys. Res. Solid Earth, 102, 20489–20502. DOI: 10.1029/97jb01739.
Dach, R., Lutz, S., Walser, P. et al. (2015). Bernese GNSS software version 5.2. Dach, R., Schaer, S., Arnold, D. et. al. (2018). CODE final product series for the IGS. Astronomical Institute, University of Bern.
Darvishi, M., Cuozzo, G., Bruzzone, L. et al. (2020). Performance Evaluation of Phase andWeather-Based Models in Atmospheric Correction with Sentinel-1Data: Corvara Landslide in the Alps. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 13, 1332–1346. DOI: 10.1109/JSTARS.2020.2969726.
Ferretti, A., Prati, C. and Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Trans. Geosci. Remote Sens., 39, 8–20. DOI: 10.1109/36.898661.
Graniczny, M., Kowalski, Z., Przyłucka, M., et al. (2014). Application of SAR data for the monitoring of ground deformations caused by mining activities in the area of the upper Silesian Coal Basin: the results of DORIS project (EC-FP7). Przegląd Górniczy, 70(12), 11–19.
Hanssen, R.F. (2001). Radar interferometry: data interpretation and error analysis. Springer Science & Business Media.
Li, Z., Fielding, E.J., Cross, P. et al. (2009). Advanced InSAR atmospheric correction: MERIS/MODIS combination and stacked water vapour models. Int. J. Remote Sens., 30(13). DOI: 10.1080/ 01431160802562172.
Liu, Z., Zhou, C., Fu, H. et. al. (2020). A framework for correcting ionospheric artifacts and atmospheric effects to generate high accuracy InSAR DEM. Remote Sens., 12, 318. DOI: 10.3390/rs12020318.
Meyer, F.J., Chotoo, K., Chotoo, S.D. et. al. (2016). The Influence of Equatorial Scintillation on LBand SAR Image Quality and Phase. IEEE Trans Geosci Remote Sens., 54, 869–880. DOI: 10.1109/TGRS.2015.2468573.
Murray, K.D., Bekaert, D.P.S. and Lohman, R.B. (2019). Tropospheric corrections for InSAR: Statistical assessments and applications to the Central United States and Mexico. Remote Sens. Environ., 232, 111326. DOI: 10.1016/j.rse.2019.111326.
Mutke, G., Kotyrba, A., Lurka, A. et. al. (2019). Upper Silesian Geophysical Observation System. A unit of the EPOS project. J. Sustain. Min., 18, 198–207. DOI: 10.1016/j.jsm.2019.07.005.
Ng, A.H.-M., Ge, L., Zhang, K. et. al. (2011). Deformation mapping in three dimensions for underground mining using InSAR – Southern highland coalfield in New South Wales, Australia. Int. J. Remote Sens., 32, 7227–7256. DOI: 10.1080/01431161.2010.519741.
Notti, D., Cina, A., Manzino, A. et al. (2020). Low-cost GNSS solution for continuous monitoring of slope instabilities applied to Madonna Del Sasso Sanctuary (NW Italy). Sensors, 20(1), 289. DOI: 10.3390/s20010289.
Pawluszek-Filipiak, K. and Borkowski, A. (2020). Integration of DInSAR and SBAS techniques to determine mining-related deformations using Sentinel-1 data: The case study of rydultowy mine in Poland. Remote Sens., 12, 242. DOI: 10.3390/rs12020242.
Pawluszek-Filipiak, K. and Borkowski, A. (2021). Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques. Eur. J. Remote Sens., 54, 18–30. DOI: 10.1080/22797254.2020.1759455.
Perski, Z. (1998). Applicability of Ers-1 and Ers-2 Insar for Land Subsidence Monitoring in the Silesian Coal Mining Region, Poland. Int. Arch. Photogr. Remote Sens., 32, 555–558.
Przylucka, M., Herrera, G., Graniczny, M. et al. (2015). Combination of conventional and advanced DIn- SAR to monitor very fast mining subsidence with TerraSAR-X data: Bytom City (Poland). Remote Sens., 7, 5300–5328. DOI: 10.3390/rs70505300.
Ramdani, F., Amanda, F.F. and Tsuchiya, N. (2019). Displacement Linear Surface Rupture of the 2018 Palu Earthquake Detected by Sentinel-1 Sar Interferometry and Very High-Resolution Imageries of Planetscope Data. In: International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., pp. 9292–9294.
Razi, P., Tetuko Sri Sumantyo, J., Perissin, D. et al. (2019). Ground deformation measurement of Sinabung vulcano eruption using DInSAR technique. J. Phys. Conf. Ser., 12008. DOI: 10.1088/1742- 6596/1185/1/012008.
Tang, W., Zhan, W., Jin, B. et al. (2021). Spatial Variability of Relative Sea-Level Rise in Tianjin, China: Insight from InSAR, GPS, and Tide-Gauge Observations. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 14, 2621–2633. DOI: 10.1109/JSTARS.2021.3054395.
Wang, Q., Yu, W., Xu, B. et al. (2019). Assessing the use of gacos products for sbas-insar deformation monitoring: A case in southern california. Sensors, 19, 3894. DOI: 10.3390/s19183894.
Wielgocka, N., Hadas, T., Kaczmarek, A. et al. (2021). Feasibility of Using Low-Cost Dual-Frequency GNSS Receivers for Land Surveying. Sensors, 21(6), 1956. DOI: 10.3390/s21061956.
Winsvold, S.H., Kääb, A., Nuth, C. et al. (2018). Using SAR satellite data time series for regional glacier mapping. Cryosphere, 12, 867–890. DOI: 10.5194/tc-12-867-2018.
Xiao, R., Yu, C., Li, Z. et al. (2021). Statistical assessment metrics for InSAR atmospheric correction: Applications to generic atmospheric correction online service for InSAR (GACOS) in Eastern China. Int. J. Appl. Earth Obs. Geoinf., 96, 102289. DOI: 10.1016/j.jag.2020.102289.
Yu, C., Penna, N.T. and Li, Z. (2017). Generation of real-time mode high-resolution water vapor fields from GPS observations. J. Geophys. Res., 122, 2008–2025. DOI: 10.1002/2016JD025753.
Yu, C., Li, Z., Penna, N. et al. (2018a). Generic Atmospheric Correction Online Service for InSAR (GACOS).
Yu, C., Li, Z., Penna, N.T. (2018b). Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model. Remote Sens. Environ., 204, 109–121. DOI: 10.1016/j.rse.2017.10.038.
Yu, C., Li, Z., Penna, N.T. et al. (2018c). Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations. J. Geophys. Res. Solid Earth, 123, 9202–9222. DOI: 10.1029/2017JB015305.
Yu, C., Li, Z., Penna, N.T. (2020). Triggered afterslip on the southern Hikurangi subduction interface following the 2016 Kaik¯oura earthquake from InSAR time series with atmospheric corrections. Remote Sens. Environ., 251, 112097. DOI: 10.1016/j.rse.2020.112097.
Zebker, H.A., Rosen, P.A. and Hensley, S. (1997). Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps. J. Geophys. Res. Solid Earth, 102, 7547–7563. DOI: 10.1029/96jb03804.
Zebker, H. (2021). Accuracy of a model-free algorithm for temporal insar tropospheric correction. Remote Sens., 13, 1–9. DOI: 10.3390/rs13030409.
Zhou, X., Chang, N.B., Li, S. (2009). Applications of SAR interferometry in earth and environmental science research. Sensors, 9, 1876–1912. DOI: 10.3390/s90301876.
Go to article

Authors and Affiliations

Kamila Pawłuszek-Filipiak
Natalia Wielgocka
Tymon Lewandowski
Damian Tondaś

  1. Wroclaw University of Environmental and Life Science, Wroclaw, Poland

Instructions for authors

The Advances in Geodesy and Geoinformation accepts a wide range of papers including original research papers, original short communication papers, review articles and symposium pieces. Details of submission are provided below. Please, note, that at the submission stage, the author(s) ensure(s) that the submitted work will not be published elsewhere in any language without the consent of the copyright owners. All co-authors also agree on the publication ethics statement.

For all parties involved in the act of publishing (the author, the journal editor(s), the peer reviewer and the publisher) it is necessary to agree upon standards of expected ethical behavior. The ethics statements for Advances in Geodesy and Geoinformation are based on the Committee on Publication Ethics (COPE) Best Practice Guidelines for Journal Editors ( ).


Original Research papers:

Research papers can have 8000 words in length, although longer articles will be accepted on an occasional basis if the topic demands this length of treatment.

Original Short communication papers:

Short communication papers can have 2500 words as a maximum and contain at most 1 table and 3 figures. Such a note is technical and well-focused, for example illustrating a new technique, describing a well worked-out case study or a specific new algorithm.

Original research and short communications papers should contain the following sections: Abstract (max. of 250 words), Introduction, Data used and methods applied, Results, Discussion, Conclusions, Acknowledgments, References.

Review article:

The journal also considers short reviews (not exceeding 12 pages in print) intended to debate recent advances in rapidly developing fields that are within its scope. Such articles may have ample references. Reviews should contain the following sections: Abstract (max. of 250 words), Introduction, Topics (with headings and subheadings), Conclusions and Outlook, Acknowledgments, References

Symposium pieces:

Symposium pieces describe a research symposium or seminar and present the topic covered in the form of a news brief, opinion piece, or mini-review. A news brief summarizes a few talks on the same general topic or issues at a given symposium. This can include a summary of the discussion that followed the symposium or the significance of the talks at a large symposia to a particular field. It is important to indicate the main point of the symposium.

An opinion piece discusses the personal perspectives after a given symposium, including an analysis of the symposium and how this affected the author.

A mini-review can be based on a theme from a given symposium. This may require the author(s) to review articles written by a speaker at that symposium.

These articles should be no more than 3,000 words. All symposium pieces should include the following sections: Abstract (max. of 250 words), Introduction, Topics (with headings and subheadings) [specifically required for a mini-review], Conclusions and Outlook, References


The author(s) guarantee(s) that the manuscript will not be published elsewhere in any language without the consent of the copyright owners, that the rights of the third parties will not be violated, and that the publisher will not held legally responsible should there be any claims for compensation.

Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.


Submission of the manuscript implies: that the work has not been published before (except in form of an abstract or as a part of a published lecture, review or thesis); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities at the institution where the work was carried out.

In case the manuscript has more than one author its submission should include the list specifying contribution of each author to the manuscript with indicating who is the author of the concept, assumptions, research methodology, data processing. Major responsibility is on the corresponding author.

The Editor will counteract in Advances in Geodesy and Geoinformation against Ghostwriting, i.e. when someone substantially contributed to the preparation of the manuscript but has neither been included to the list of authors nor his role is mentioned in the acknowledgements as well as Ghost authorship, i.e. when the author/co-author did not contribute to the manuscript or his contribution is negligible. Any detected case of Ghostwriting and Ghost authorship will be exposed and the appropriate subjects, i.e. employers, scientific organizations, associations of editors etc., will be informed.


The manuscripts are submitted online via and should be submitted in Word. Please, do not exceed the number of words intended to a specific submission. Please, count the number of words before submitting, with abstract, acknowledgements and references excluded.

Names of authors and their affiliation should be removed from the manuscripts for the review process in order to have a fair evaluation of their manuscript. All authors of the manuscript are responsible for its content; they must have agreed to its publication and have given the corresponding author the authority to act on their behalf in all matters pertaining to publication. The Corresponding Author is responsible for informing the coauthors of the manuscript status throughout the submission, review, and production process. The editorial system requires: the name(s) of the author(s), the name(s) and address(es) of the affiliation(s) of the author(s), the e-mail address of the corresponding author, the 16-digit ORCID number of the author(s). The corresponding author is required to provide his/her ORCID number. ORCID numbers of co-authors are not necessary, but advised.

Manuscript preparation

Manuscripts should be typed in single-line spacing throughout on the A4 sheet with 2.5 cm margins. Use plain 11-point Times Roman font for text, italics for textual emphasis, bold for mathematical vectors.

1. Abstract: The paper must be preceded by a sufficiently informative abstract presenting the most important results and conclusions. It should not be longer than 250 words and should not contain any unexplained abbreviations and unspecified references.

2. Keywords: Three to five keywords should be supplied. These are used for indexing purposes.

3. Introduction: It should explicitly state the purpose of the investigation and give a short review of the pertinent literature.

4. Main text: It should include all methods and input data (working details must be given concisely; well-known operations should not be described in details); results presented in tabular or graph form, with appropriate statistical evaluation, discussion of results - statement of conclusions drawn from the work and conclusions.

5. Acknowledgements: Please, include all institutions, names or numbers of grants that require acknowledgement. The names of funding organizations or institutions providing data should be given in full. This information is mandatory for all submitted papers.

6. Author Contributions: All authors contributing to the paper need to have their role assigned.

7. Data availability: Indicate where to download the data you used and how they can be accessed. Are your final results available anywhere?

8. References: The list of references should be prepared in alphabetical order and should only include works that are cited in the text and that have been published or accepted for publication. Personal communications could only be mentioned in the text. References in the text, should be cited by author(s) last name and year: e.g. (Beutler, 2003a), (Featherstone and Kirby, 2000), (Schwarz et al., 1990), (Sjöberg et al., 2000; Strykowski, 2001b; 2002). The details on the reference list preparation is provided below.

9. Formulae and symbols: They must be written legibly and will be typeset in italics. One-layer indexing is preferable. Numbering of formulae, if necessary should be given in brackets fitted to the right margin. use the equation editor or MathType for equations

10. Illustrations and tables: All figures (photographs, graphs or diagrams) and tables should be cited in the text and numbered consecutively throughout. Lowercase roman letters should identify figure parts. Figure legends must be brief and must contain self-sufficient explanations of the illustrations. Each table should have a title and a legend explaining any abbreviation used in that table. Tables and illustrations have to be placed in the text and send as separate files.

11. Units: SI units must be used.

12. Short title: Please, include a running head consisting of at most 60 characters. This concise banner represents the title of the article and must be submitted by the author(s).


Proofreading is the responsibility of the author. Corrections should be clear; standard correction marks should be used. Corrections that lead to a change in the page layout should be avoided. The author is entitled to formal corrections only. Substantial changes in content, e.g. new results, corrected values, title and authorship are not allowed without the approval of the editor. In such case please contact the Editor-in-chief before returning the proofs.

Reference list

a. Journal Article (one author)

Nikora, V. (2006). Hydrodynamics of aquatic ecosystems: spatial-averaging perspective. Acta Geophysica, 55(1), 3-10. DOI: 10.2478/s11600-006-0043-6.

b. Journal Article (two or more authors)

Cudak, M. and Karcz J. (2006). Momentum transfer in an agitated vessel with off-centred impellers. Chem. Pap. 60(5), 375-380. DOI: 10.2478/s11696-006-0068-y.

c. Journal article from an online database

Czajgucki Z., Zimecki M. & Andruszkiewicz R. (2006, December). The immunoregulatory effects of edeine analogues in mice [Abstract]. Cell. Mol. Biol. Lett. 12(3), 149-161. Retrieved December 6.

d. Book (one author)

Baxter, R. (1982). Exactly Solvable Models in Statistical Mechanics. New York: Academic Press.

e. Book (two or more authors)

Kleiner, F.S., Mamiya C.J. and Tansey R.G. (2001). Gardner’s art through the ages (11th ed.). Fort Worth, USA: Harcourt College Publishers.

f. Book chapter or article in an edited book

Roll, W.P. (1976). ESP and memory. In J.M.O. Wheatley and H.L. Edge (Eds.), . (pp. 154-184). Springfield, IL: American Psychiatric Press.

g. Proceedings from a conference

Field, G. (2001). Rethinking reference rethought. In Revelling in Reference: Reference and Information Services Section Symposium, 12-14 October 2001 (pp. 59-64). Melbourne, Victoria, Australia: Australian Library and Information Association.

h. Online document

Johnson, A. (2000). Abstract Computing Machines. Springer Berlin Heidelberg. Retrieved March 30, 2006, from SpringerLink DOI: 10.1007/b138965.

i. Report

Osgood, D. W., and Wilson, J. K. (1990). Covariation of adolescent health problems. Lincoln: University of Nebraska. (NTIS No. PB 91-154 377/AS).

j. Government publication

Ministerial Council on Drug Strategy. (1997). The national drug strategy: Mapping the future. Canberra: Australian Government Publishing Service.


Advances in Geodesy and Geoinformation is published in Open Access journal with all content available with no charge in full text version. This means that all articles are available on the internet to all users immediately upon publication free of charge for the readers.

Submit your article

Publication Ethics Policy


Editor Responsibilities

The editor of Advances in Geodesy and Geoinformation is guided by COPE’s Guidelines ( for Retracting Articles when considering retracting, issuing expressions of concern about, and issuing corrections pertaining to articles that have been published in the journal. The editor evaluates manuscripts for intellectual content without regard to race, gender, sexual orientation, religious belief, ethnic origin, citizenship, or political philosophy of the author(s). The editor do not disclose any information about a manuscript under consideration to anyone other than the author(s), reviewers and potential reviewers, and in some instances the editorial board members, as appropriate. The editor seeks so ensure a fair and appropriate peer review process. Editors recuse themselves (i.e. ask a co-editor, associate editor or other member of the editorial board instead to review and consider) from considering manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or (possibly) institutions connected to the papers. Editors require all contributors to disclose relevant competing interests and publish corrections if competing interests are revealed after publication. If needed, other appropriate action should be taken, such as the publication of a retraction or expression of concern.

Reviewer Responsibilities

Peer review assists the editor in making editorial decisions and, through the editorial communication with the author, may also assist the author in improving the manuscript. Any invited referee who feels unqualified to review the research reported in a manuscript or knows that its timely review will be impossible should immediately notify the editor so that alternative reviewers can be contacted.

Any manuscripts received for review is treated as confidential documents. They must not be shown to or discussed with others except if authorized by the editor. Reviews should be conducted objectively. Personal criticism of the author is inacceptable. Referees should express their views clearly with appropriate supporting arguments.

Reviewers should identify relevant published work that has not been cited by the authors. Any statement that an observation, derivation, or argument had been previously reported should be accompanied by the relevant citation. A reviewer should also call to the editor's attention any substantial similarity or overlap between the manuscript under consideration and any other published data of which they have personal knowledge.

Privileged information or ideas obtained through peer review is kept confidential and not used for personal advantage. Reviewers should not consider evaluating manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the submission.

Author Responsibilities

Authors reporting results of original research should present an accurate account of the work performed as well as an objective discussion of its significance. Underlying data should be represented accurately in the manuscript. A paper should contain sufficient detail and references to permit others to replicate the work. Fraudulent or knowingly inaccurate statements constitute unethical behavior and are unacceptable.

The authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others that this has been appropriately cited or quoted.
An author should not in general publish manuscripts describing essentially the same research in more than one journal or primary publication. Parallel submission of the same manuscript to more than one journal constitutes unethical publishing behavior and is unacceptable.

Proper acknowledgment of the work of others must always be given. Authors should also cite publications that have been influential in determining the nature of the reported work.

Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. All those who have made significant contributions should be listed as co-authors. Where there are others who have participated in certain substantive aspects of the research project, they should be named in an Acknowledgement section.

The corresponding author should ensure that all appropriate co-authors (according to the above definition) and no inappropriate co-authors are included in the author list of the manuscript, and that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication.

If the work involves chemicals, procedures or equipment that have any unusual hazards inherent in their use, the authors must clearly identify these in the manuscript.

All authors should disclose in their manuscript any financial or other substantive conflict of interest that might be construed to influence the results or their interpretation in the manuscript. All sources of financial support for the project should be disclosed.

When an author discovers a significant error or inaccuracy in his/her own published work, it is the author’s obligation to promptly notify the journal’s editor or publisher and cooperate with them to either retract the paper or to publish an appropriate erratum.

Publisher’s Confirmation

In cases of alleged or proven scientific misconduct, fraudulent publication or plagiarism the publisher, in close collaboration with the editors, will take all appropriate measures to clarify the situation and to amend the article in question. This includes the prompt publication

Peer-review Procedure


The editor of a peer-reviewed journal is responsible for deciding which articles submitted to the journal should be published, and, moreover, is accountable for everything published in the journal. In making these decisions, the editor may be guided by the policies of the journal’s editorial board as well as by legal requirements regarding libel, copyright infringement and plagiarism. The editor may confer with other editors or reviewers when making publication decisions. The editor maintain the integrity of the academic record, preclude business needs from compromising intellectual and ethical standards, and always be willing to publish corrections, clarifications, retractions and apologies when needed. The editor evaluate manuscripts for intellectual content without regard to race, gender, sexual orientation, religious belief, ethnic origin, citizenship, or political philosophy of the author(s). The editor do not disclose any information about a manuscript under consideration to anyone other than the author(s), reviewers and potential reviewers, and in some instances the editorial board members, as appropriate.

The editor is guided by COPE’s Guidelines ( for Retracting Articles when considering retracting, issuing expressions of concern about, and issuing corrections pertaining to articles that have been published in Advances in Geodesy and Geoinformation.

Peer review assists the editor in making editorial decisions and, through the editorial communication with the author, may also assist the author in improving the manuscript.

Any manuscripts received for review is treated as confidential documents. They must not be shown to or discussed with others except if authorized by the editor.

Manuscript evaluations are assigned one of four outcomes: Accept without changes, accept after changes suggested by reviewer, rate manuscript once again after major changes and another review, reject, withdraw.

Manuscripts requiring minor revision (accept after changes suggested by reviewer) not require a second review. All manuscripts receiving a "Rate manuscript once again after major changes and another review " evaluation must be subjected to a second review. Rejected manuscripts are given no further consideration. Normally, manuscripts that receive a "Rate manuscript once again after major changes and another review " decision have only one additional chance for revision and the revised version should be uploaded to the Editorial System within six weeks. If the author(s) failed to make satisfactory changes, the manuscript is rejected. On acceptance, manuscripts are subject to editorial amendment to suit house style. The article should be withdraw due to technical reason (e.g. names of authors are placed in the text, lack of references, or inappropriate structure of the text) or plagiarism.


Reviewers list 2022

Prof. Cüneyt Aydın, Yildiz Technical University, Turkey
Dr. Agnieszka Bieda, AGH University of Science and Technology, Poland
Prof. Elzbieta Bielecka, Military University of Technology, Poland
Dr. Monika Biryło, University of Warmia and Mazury in Olsztyn, Poland
Dr. Andrzej Bobojć, University of Warmia and Mazury in Olsztyn, Poland
Dr. Piotr Bożek, University of Agriculture in Krakow, Poland
Dr. Jerzy Chmiel, Warsaw University of Technology, Poland
Prof. Kazimierz Ćmielewski, Wrocław University of Environmental and Life Sciences, Poland
Dr. Bahattin Erdogan, Yildiz Technical University, Turkey
Prof. Juraj Gasinec, Technical University of Kosice, Slovakia
Dr. Volodymyr Hlotov, Lviv Polytechnic National University, Ukraine
Dr. Tymoteusz Horbiński, Institute of Physical Geography and Environmental Planning, Poland
Dr. Oleksandra Hulko, Lviv Polytechnic National University, Ukraine
Dr. Joanna Janicka, University of Warmia and Mazury in Olsztyn, Poland
Dr. Izabela Jaśkiewicz-Proć, KGHM CUPRUM sp. z o.o. – CBR, Poland
Prof. Roman Józef Kadaj, Rzeszów University of Technology, Poland
Dr. Jānis Kaminskis, Riga Technical University, Latvia
Dr. Yulia Кhavar, Lviv Polytechnic National University, Ukraine
Dr. Jolanta Korycka-Skorupa, Warsaw University, Poland
Prof. Wolfgang Kresse, University of Applied Sciences Neubrandenburg, Germany
Prof. Eugene Levin, Michigan Technological University, United States
Dr. Tomasz Lipecki, AGH University of Science and Technology, Poland
Dr. Tomasz Liwosz, Warsaw University of Technology, Poland
Prof. Radovan Machotka, Brno University of Technology, Czech Republic
Prof. Šárka Mayerová, Faculty of Military Technology University of Defence, Brno, Czech Republic
Dr. Bartosz Mitka, University of Agriculture in Krakow, Poland
Prof. Marek Mróz, University of Warmia and Mazury in Olsztyn, Poland
Prof. Maria Mrówczyńska, Architecture and Environmental Engineering University of Zielona Gora, Poland
Dr. Tomasz Noszczyk, University of Agriculture in Krakow, Poland
Dr. Agata Orych, Military University of Technology, Poland
Dr. Joanna Pluto-Kossakowska, Warsaw University of Technology, Poland
Prof. Krystian Pyka, AGH University of Science and Technology, Poland
Dr. Umberto Robustelli, University of Naples "Parthenope", Italy
Prof. Zofia Rzepecka, University of Warmia and Mazury in Olsztyn, Poland
Dr. Vira Sai, Lviv Polytechnic National University, Ukraine
Dr. D. Ugur Sanli, Yildiz Technical University, Turkey
Dr. Mahmut Oğuz Selbesoğlu, Istanbul Technical University, Turkey
Prof. Izabela Skrzypczak, Rzeszów University of Technology, Poland
Prof. Viktor Sidorenko, Kryvyi Rih National University, Geodesy Department, Ukraine
Dr. Katarzyna Stępniak, University of Warmia and Mazury in Olsztyn, Poland
Dr. Lech Stolecki, KGHM CUPRUM Sp. z.o.o. – Research and Development Centre, Poland
Dr. Jacek Sztubecki, Bydgoszcz University of Technology, Poland
Dr. İbrahim Tiryakioğlu, Afyon Kocatepe University, Turkey
Prof. Ihor Trevoho, Lviv Polytechnic National University, Ukraine
Dr. Agnieszka Trystula, University of Warmia and Mazury in Olsztyn, Poland
Dr. Tomasz Wojciechowski, MIlitary Univesrity of Technology, Poland
Dr. Ireneusz Wyczałek, Poznań University of Technology, Poland
Dr. Patrycja Wyszkowska, University of Warmia and Mazury in Olsztyn, Poland
Dr. Hanfa Xing, Shandong Normal University, China
Prof. Cemal Özer YİĞİT, Gebze Technical University, Turkey
Dr. Marek Hubert Zienkiewicz, Gdańsk University of Technology, Poland
Prof. Ryszard Źróbek, University of Warmia and Mazury in Olsztyn, Poland

Plagiarism Policy

Advances in Geodesy and Geoinformation journal uses iThenticate software to screen for plagiarism. Each manuscript submitted to the journal undergoes this procedure before it is send to the Reviewers. Authors submitting an original article should be certain that no paragraphs or data of others are presented as their own. If this is the case it will be considered 'plagiarism'. If material from other works is used, appropriate acknowledgements should be made to them. This applies to all material that is copied, summarized or paraphrased from any copyrighted material. Authors should also be certain that the work they submit is original and not a duplication of their previous work. If this is the case, it may be considered 'self-plagiarism'.

This page uses 'cookies'. Learn more