The benefits of multi-constellation GNSS for cadastral positioning applications in harsh environments

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2023-11-11 DOI:10.1007/s12518-023-00525-8
Irwan Gumilar, Syafiq A. Fauzan, Brian Bramanto, Hasanuddin Z. Abidin, Nanin T. Sugito, Andri Hernandi, Alfita P. Handayani
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Abstract

Currently, the real-time kinematic (RTK) method is common to be used in the global navigation satellite system (GNSS) positioning solutions, whereas it was primarily used for cadastral measurements, especially measurements of land parcels in Indonesia. In addition, the real-time precise point positioning (RTPPP) method is currently used extensively in Indonesia for positioning applications. Indonesia’s position located in the Asia-Pacific region makes it possible to observe a huge number of multi-GNSS satellite signals from GPS, GLONASS, Galileo, and Beidou which are very favorable for such measures. One particular problem in point positioning in Indonesia is that the measurements are often made in harsh environments covered by vegetation or buildings. This research is aimed at determining the quality of measurement data in static, RTK, and RTPPP methods in harsh environments and determining the contribution of multi-satellite constellations to the measurement of the three methods in harsh areas. Data acquisition of the methods was conducted in various locations covered by vegetation and building obstruction in the baseline distance scheme of 2.5 km, 5 km, 10 km, 20 km, and 50 km. In addition, an analysis of the level of accuracy and precision of static, RTK, and RTPPP measurement methods was conducted. In harsh environments, the accuracy and precision results of the static and RTK methods using multi-satellite constellations may provide solutions that meet the standards of land parcel measurement. Results obtained on a 50-km baseline are still good. However, the results of the baseline distance scheme show that the longer the baseline, the greater tendency for accuracy to decrease. The RTPPP method is not capable of generating data with a fixed solution for all satellite constellation schemes.

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多星座GNSS在恶劣环境下地籍定位应用的优势
目前,实时运动学(RTK)方法通常用于全球导航卫星系统(GNSS)定位解决方案,而它主要用于地籍测量,特别是印度尼西亚的地块测量。此外,实时精确点定位(RTPPP)方法目前在印度尼西亚广泛用于定位应用。印度尼西亚地处亚太地区,可以观测到大量来自GPS、GLONASS、Galileo、北斗的多gnss卫星信号,这对此类措施非常有利。印度尼西亚点定位的一个特别问题是,测量通常是在被植被或建筑物覆盖的恶劣环境中进行的。本研究旨在确定静态、RTK和RTPPP方法在恶劣环境下的测量数据质量,并确定多卫星星座对三种方法在恶劣环境下的测量贡献。在2.5 km、5 km、10 km、20 km和50 km的基线距离方案下,在植被和建筑物障碍物覆盖的不同位置进行数据采集。此外,对静态、RTK和RTPPP测量方法的准确度和精密度水平进行了分析。在恶劣环境下,使用多卫星星座的静态和RTK方法的精度和精度结果可以提供满足地块测量标准的解决方案。在50公里基线上获得的结果仍然很好。然而,基线距离方案的结果表明,基线越长,精度下降的趋势越大。对于所有卫星星座方案,RTPPP方法不能生成具有固定解的数据。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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