{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:53:57Z","timestamp":1760151237081,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T00:00:00Z","timestamp":1645747200000},"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>The latest gravity survey of the gravity base network in Qinghai Province, China, was conducted with six Scintrex CG gravimeters and this gravity survey was tied to existed gravity reference stations. In this gravity network with long segments and very rugged topography, the calibration of scale factors is a time-consuming progress and its accuracy may be affected by many uncertainties, and the change in drift rates of the relative gravimeters are complex over time in this long-term survey. The reasonable calculation of scale factors and drift rates plays an important role in improving the gravity estimation accuracy. In this paper, based on the least squares, robust least squares, and Bayesian methods, various parameter calculation methods were employed to process this gravity network. The performance and practicality of each method were analyzed in terms of internal and external accuracy. The results indicated that the scale factors calibrated in the baseline field had poor applicability due to insufficient gravity difference, in this case, the scale factors estimated by the adjustment models were more accurate, which weakened the correlation between gravity differences and mutual differences. The drift rates estimated by the Bayesian method were relatively smooth over time, while drift rates estimated using symmetric observations were more practical for the gravimeter with highly variable drift. The weight constraints of observations can be optimized by the robust least squares method, the gravity values obtained by it were more consistent with absolute gravity values than those obtained by the least squares method, and the robust least squares method was recommended to process gravity data in plateau areas.<\/jats:p>","DOI":"10.3390\/rs14051142","type":"journal-article","created":{"date-parts":[[2022,2,27]],"date-time":"2022-02-27T20:48:33Z","timestamp":1645994913000},"page":"1142","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Processing of Gravity Base Network in Plateau Area: The Case of Qinghai Province, China"],"prefix":"10.3390","volume":"14","author":[{"given":"Qiong","family":"Wu","sequence":"first","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, 938 West Democratic Street, Changchun 130026, China"}]},{"given":"Shi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, 938 West Democratic Street, Changchun 130026, China"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Geodetic Data Processing Centre, National Administration of Surveying, Mapping and Geoinformation, Xi\u2019an 710054, China"}]},{"given":"Linshan","family":"Zhong","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, 938 West Democratic Street, Changchun 130026, China"}]},{"given":"Lijiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Qinghai Basic Surveying and Mapping Institute, Xining 810001, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3536-4475","authenticated-orcid":false,"given":"Shengpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Qinghai Basic Surveying and Mapping Institute, Xining 810001, China"},{"name":"School of Geographic Science, Qinghai Normal University, Xining 810008, China"}]},{"given":"Hongqing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, 938 West Democratic Street, Changchun 130026, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s00190-018-1190-7","article-title":"Bayesian approach for network adjustment for gravity survey campaign: Methodology and model test","volume":"93","author":"Chen","year":"2018","journal-title":"J. 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