{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:52:22Z","timestamp":1771955542171,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T00:00:00Z","timestamp":1634774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This article concerns the development of gravimetric quasigeoid and geoid models using the geophysical gravity data inversion technique (the GGI method). This research work was carried out on the basis of the data used in the Colorado geoid experiment, and the mean quasigeoid (\u03b6m) and mean geoid (Nm) heights, determined by the approaches used in the Colorado geoid experiment, were used as a reference. Three versions of the quasigeoid GGI models depending on gravity data were analyzed: terrestrial-only, airborne-only, and combined (using airborne and terrestrial datasets). For the combined version, which was the most accurate, a model in the form of a 1\u2032\u00d71\u2032 grid was calculated in the same area as the models determined in the Colorado geoid experiment. For the same grid, the geoid\u2013quasigeoid separation was determined, which was used to build the geoid model. The agreement (in terms of the standard deviation of the differences) of the determined models, with \u03b6m and Nm values for the GSVS17 profile points, was \u00b10.9\u00a0cm for the quasigeoid and \u00b11.2\u00a0cm for the geoid model. The analogous values, determined on the basis of all 1\u2032\u00d71\u2032 grid points, were \u00b12.3\u00a0cm and \u00b12.6\u00a0cm for the quasigeoid and geoid models, respectively.<\/jats:p>","DOI":"10.3390\/rs13214217","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T23:27:39Z","timestamp":1634858859000},"page":"4217","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Quasi Geoid and Geoid Modeling with the Use of Terrestrial and Airborne Gravity Data by the GGI Method\u2014A Case Study in the Mountainous Area of Colorado"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9751-0389","authenticated-orcid":false,"given":"Marek","family":"Trojanowicz","sequence":"first","affiliation":[{"name":"Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, C. K. Norwida 25, 50-375 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7274-9083","authenticated-orcid":false,"given":"Magdalena","family":"Owczarek-Weso\u0142owska","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, C. K. Norwida 25, 50-375 Wroclaw, Poland"}]},{"given":"Yan Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"National Geodetic Survey, NOAA, 1315 East-West Highway, Silver Spring, MD 20910-3282, USA"}]},{"given":"Olgierd","family":"Jamroz","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, C. K. Norwida 25, 50-375 Wroclaw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Heiskanen, W.A., and Moritz, H. (1967). Physical Geodesy, W. H. 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