Relevant bibliographies by topics / GNSS data

Academic literature on the topic 'GNSS data'

Author: Grafiati
Published: 10 December 2022
Last updated: 1 April 2023

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Journal articles on the topic "GNSS data"

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Yang, Guanglin, Weihua Bai, Jinsong Wang, Xiuqing Hu, Peng Zhang, Yueqiang Sun, Na Xu, et al. "FY3E GNOS II GNSS Reflectometry: Mission Review and First Results." Remote Sensing 14, no. 4 (February 17, 2022): 988. http://dx.doi.org/10.3390/rs14040988.

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FengYun-3E (FY3E), launched on 5 July 2021, is one of China’s polar-orbiting meteorological satellite series. The GNOS II onboard FY3E is an operational GNSS remote sensor that for the first time combines GNSS radio occultation (GNSS RO) and GNSS reflectometry (GNSS-R). It has eight reflection channels that can track eight specular points at the same time, receiving reflected signals from multiple GNSS systems, including GPS, BeiDou and Galileo. The basic GNSS-R output generated by GNOS II is a 122 × 20 non-uniform delay-Doppler map whose high resolution portion captures more information near the specular point. This paper introduces the GNSS-R aspect of the FengYun-3E GNOS II, including the instrument, power calibration and wind speed retrieval algorithm. Preliminary validation results for its first four months of data are also presented. After preliminary quality control, the overall wind speed error is less than 2 m/s at wind speeds below 20 m/s for data from both GPS satellites and BeiDou satellites when compared to the ECMWF reanalysis winds.
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Gu, Nianzu, Fei Xing, and Zheng You. "GNSS Spoofing Detection Based on Coupled Visual/Inertial/GNSS Navigation System." Sensors 21, no. 20 (October 12, 2021): 6769. http://dx.doi.org/10.3390/s21206769.

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Spoofing attacks are one of the severest threats for global navigation satellite systems (GNSSs). This kind of attack can damage the navigation systems of unmanned air vehicles (UAVs) and other unmanned vehicles (UVs), which are highly dependent on GNSSs. A novel method for GNSS spoofing detection based on a coupled visual/inertial/GNSS positioning algorithm is proposed in this paper. Visual inertial odometry (VIO) has high accuracy for state estimation in the short term and is a good supplement for GNSSs. Coupled VIO/GNSS navigation systems are, unfortunately, also vulnerable when the GNSS is subject to spoofing attacks. The method proposed in this article involves monitoring the deviation between the VIO and GNSS under an optimization framework. A modified Chi-square test triggers the spoofing alarm when the detection factors become abnormal. After spoofing detection, the optimal estimation algorithm is modified to prevent it being deceived by the spoofed GNSS data and to enable it to carry on positioning. The performance of the proposed spoofing detection method is evaluated through a real-world visual/inertial/GNSS dataset and a real GNSS spoofing attack experiment. The results indicate that the proposed method works well even when the deviation caused by spoofing is small, which proves the efficiency of the method.
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Xu, Changhui, Jingkui Zhang, Zhiyou Zhang, Jianning Hou, and Xujie Wen. "Data and Service Security of GNSS Sensors Integrated with Cryptographic Module." Micromachines 14, no. 2 (February 15, 2023): 454. http://dx.doi.org/10.3390/mi14020454.

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Navigation and positioning are of increasing importance because they are becoming a new form of infrastructure. To ensure both development and security, this study designed a technical innovation structure to upgrade the GNSS (Global Navigation Satellite System) data transmission and real-time differential correction service system and proposed a new multiple cryptographic fusion algorithm to achieve the encryption and decryption of GNSS data and services. First, a GNSS station encrypts GNSS data with an encryption key and obtains a public key from a GNSS data center to encrypt the GNSS data encryption key. After that, identity authentication of a GNSS station is carried out, and an SSL VPN is established between the GNSS station and a GNSS data center before GNSS data are transmitted to the GNSS data center. Then, the GNSS data center decrypts the received GNSS data. The process of an intelligent terminal for real-time differential corrections is similar to that of the GNSS station and the GNSS data center. A GNSS sensor integrated with a cryptographic module was developed to validate the structure in an open environment. The results showed that the developed GNSS sensor was successful in encrypting the data, and the GNSS data center was able to decrypt the data correctly. For the performance test, a cryptography server was able support the requirements of GNSS applications. However, a cryptography server was optimal in supporting 40~50 GNSS stations simultaneously, whereas a cluster was suggested to be configured if the number of GNSS stations was more than 60. In conclusion, the method was able to ensure the validity, confidentiality, integrity, and non-repudiation of GNSS data and services. The proposed upgrading technology was suitable for coordinating GNSS development and security.
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Zhao, Qingzhi, Kefei Zhang, and Wanqiang Yao. "Influence of station density and multi-constellation GNSS observations on troposphere tomography." Annales Geophysicae 37, no. 1 (January 14, 2019): 15–24. http://dx.doi.org/10.5194/angeo-37-15-2019.

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Abstract. Troposphere tomography, using multi-constellation observations from global navigation satellite systems (GNSSs), has become a novel approach for the three-dimensional (3-D) reconstruction of water vapour fields. An analysis of the integration of four GNSSs (BeiDou, GPS, GLONASS, and Galileo) observations is presented to investigate the impact of station density and single- and multi-constellation GNSS observations on troposphere tomography. Additionally, the optimal horizontal resolution of the research area is determined in Hong Kong considering both the number of voxels divided, and the coverage rate of discretized voxels penetrated by satellite signals. The results show that densification of the GNSS network plays a more important role than using multi-constellation GNSS observations in improving the retrieval of 3-D atmospheric water vapour profiles. The root mean square of slant wet delay (SWD) residuals derived from the single-GNSS observations decreased by 16 % when the data from the other four stations are added. Furthermore, additional experiments have been carried out to analyse the contributions of different combined GNSS data to the reconstructed results, and the comparisons show some interesting results: (1) the number of iterations used in determining the weighting matrices of different equations in tomography modelling can be decreased when considering multi-constellation GNSS observations and (2) the reconstructed quality of 3-D atmospheric water vapour using multi-constellation GNSS data can be improved by about 11 % when compared to the SWD estimated with precise point positioning, but this was not as high as expected.
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Bai, Weihua, Guojun Wang, Yueqiang Sun, Jiankui Shi, Guanglin Yang, Xiangguang Meng, Dongwei Wang, et al. "Application of the Fengyun 3 C GNSS occultation sounder for assessing the global ionospheric response to a magnetic storm event." Atmospheric Measurement Techniques 12, no. 3 (March 7, 2019): 1483–93. http://dx.doi.org/10.5194/amt-12-1483-2019.

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Abstract. The rapid advancement of global navigation satellite system (GNSS) occultation technology in recent years has made it one of the most advanced space-based remote sensing technologies of the 21st century. GNSS radio occultation has many advantages, including all-weather operation, global coverage, high vertical resolution, high precision, long-term stability, and self-calibration. Data products from GNSS occultation sounding can greatly enhance ionospheric observations and contribute to space weather monitoring, forecasting, modeling, and research. In this study, GNSS occultation sounder (GNOS) results from a radio occultation sounding payload aboard the Fengyun 3 C (FY3-C) satellite were compared with ground-based ionosonde observations. Correlation coefficients for peak electron density (NmF2) derived from GNOS Global Position System (GPS) and Beidou navigation system (BDS) products with ionosonde data were higher than 0.9, and standard deviations were less than 20 %. Global ionospheric effects of the strong magnetic storm event in March 2015 were analyzed using GNOS results supported by ionosonde observations. The magnetic storm caused a significant disturbance in NmF2 level. Suppressed daytime and nighttime NmF2 levels indicated mainly negative storm conditions. In two longitude section zones of geomagnetic inclination between 40 and 80∘, the results of average NmF2 observed by GNOS and ground-based ionosondes showed the same basic trends during the geomagnetic storm and confirmed the negative effect of this storm event on the ionosphere. The analysis demonstrates the reliability of the GNSS radio occultation sounding instrument GNOS aboard the FY3-C satellite and confirms the utility of ionosphere products from GNOS for statistical and event-specific ionospheric physical analyses. Future FY3 series satellites and increasing numbers of Beidou navigation satellites will provide increasing GNOS occultation data on the ionosphere, which will contribute to ionosphere research and forecasting applications.
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Sun, Yueqiang, Weihua Bai, Congliang Liu, Yan Liu, Qifei Du, Xianyi Wang, Guanglin Yang, et al. "The FengYun-3C radio occultation sounder GNOS: a review of the mission and its early results and science applications." Atmospheric Measurement Techniques 11, no. 10 (October 23, 2018): 5797–811. http://dx.doi.org/10.5194/amt-11-5797-2018.

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Abstract. The Global Navigation Satellite System (GNSS) Occultation Sounder (GNOS) is one of the new-generation payloads on board the Chinese FengYun 3 (FY-3) series of operational meteorological satellites for sounding the Earth's neutral atmosphere and ionosphere. FY-3C GNOS, on board the FY-3 series C satellite launched in September 2013, was designed to acquire setting and rising radio occultation (RO) data by using GNSS signals from both the Chinese BeiDou Navigation Satellite System (BDS) and the US Global Positioning System (GPS). So far, the GNOS measurements and atmospheric and ionospheric data products have been validated and evaluated and then been used for atmosphere- and ionosphere-related scientific applications. This paper reviews the FY-3C GNOS instrument, RO data processing, data quality evaluation, and preliminary research applications according to the state-of-the-art status of the FY-3C GNOS mission and related publications. The reviewed data validation and application results demonstrate that the FY-3C GNOS mission can provide accurate and precise atmospheric and ionospheric GNSS (i.e., GPS and BDS) RO profiles for numerical weather prediction (NWP), global climate monitoring (GCM), and space weather research (SWR). The performance of the FY-3C GNOS product quality evaluation and scientific applications establishes confidence that the GNOS data from the series of FY-3 satellites will provide important contributions to NWP, GCM, and SWR scientific communities.
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Guerova, G., T. Simeonov, and N. Yordanova. "The Sofia University Atmospheric Data Archive (SUADA)." Atmospheric Measurement Techniques 7, no. 8 (August 21, 2014): 2683–94. http://dx.doi.org/10.5194/amt-7-2683-2014.

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Abstract. Atmospheric sounding using the Global Navigation Satellite Systems (GNSS) is a well-established research field in Europe. At present, GNSS data from 1800 stations are available for model validation and assimilation in state-of-the-art models used for operational numerical weather prediction centres in Europe. Advances in GNSS data processing make it possible also to use the GNSS data for climatic trend analysis, an emerging new application. In Bulgaria and southeastern Europe, the use of GNSS for atmospheric sounding is currently under development. As a first step, the Sofia University Atmospheric Data Archive (SUADA) is developed. SUADA is a user-friendly database, and includes GNSS tropospheric products like zenith total delay (ZTD) and derivatives like vertically integrated water vapour (IWV), as well as observations from radiosonde (RS) and surface atmospheric data. Archived in SUADA are (1) GNSS tropospheric products (over 12 000 000 individual observations) and derivatives (over 55 000) from five GNSS processing strategies and 37 stations for the period 1997–2013, with temporal resolutions from 5 min to 6 h, and (2) radiosonde IWV data (over 6000 observations) for station Sofia (1999–2012). Presented are two applications of the SUADA data for the study of long- and short-term variations of IWV over Bulgaria during the 2007 heatwave and intense precipitation events in 2012.
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Guerova, G., Tzv Simeonov, and N. Yordanova. "The Sofia University Atmospheric Data Archive (SUADA)." Atmospheric Measurement Techniques Discussions 7, no. 3 (March 5, 2014): 2153–85. http://dx.doi.org/10.5194/amtd-7-2153-2014.

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Abstract. Atmospheric sounding using the Global Navigation Satellite Systems (GNSS) is a well established research field in Europe. At present, GNSS data from 1800 stations are available for model validation and assimilation in state-of-the-art models used for operational numerical weather prediction Centers in Europe. Advances in GNSS data processing is making possible to also use the GNSS data for climatic trend analysis, an emerging new application. In Bulgaria and Southeast Europe the use of GNSS for atmospheric sounding is currently under development. As a first step the Sofia University Atmospheric Data Archive (SUADA) is developed. SUADA is user friendly database and includes GNSS tropospheric products like Zenith Total Delay (ZTD) and derivatives like vertically Integrated Water Vapour (IWV) as well as observations from Radiosonde and surface atmospheric data. Archived in SUADA are: (1) GNSS tropospheric products (over 12 000 000 individual observations) and derivatives (over 55 000) from five GNSS processing strategies and 37 stations for the period 1997–2013 with temporal resolution from 5 min to 6 h and (2) Radiosonde IWV data (over 6000 observations) for station Sofia (1999–2012). Presented are two applications of the SUADA data for study of long and short term variation of IWV over Bulgaria during the 2007 heat wave and intense precipitation events in 2012.
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Rovira-Garcia, Adria, and José Miguel Juan Zornoza. "Special Issue on GNSS Data Processing and Navigation." Sensors 20, no. 15 (July 24, 2020): 4119. http://dx.doi.org/10.3390/s20154119.

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Global Navigation Satellite System (GNSS) data can be used in a myriad of ways. The current number of applications exceed by far those originally GNSS was designed for. As an example, the present Special Issue on GNSS Data Processing and Navigation compiles 14 international contributions covering several aspects of GNSS research. This Editorial summarizes the whole special issue grouping the contributions under four different, but related topics.
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Yin, Cong, Feixiong Huang, Junming Xia, Weihua Bai, Yueqiang Sun, Guanglin Yang, Xiaochun Zhai, et al. "Soil Moisture Retrieval from Multi-GNSS Reflectometry on FY-3E GNOS-II by Land Cover Classification." Remote Sensing 15, no. 4 (February 17, 2023): 1097. http://dx.doi.org/10.3390/rs15041097.

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The reflected GNSS signals at the L-band is significantly advantageous in soil moisture monitoring as they are sensitive to the dielectric properties determined by the volumetric water content of topsoil, and they can penetrate vegetation, except in very dense forests. The Global Navigation satellite system Occultation Sounder (GNOS-II) with a reflectometry technique onboard the Fengyun-3E (FY-3E) satellite, launched on 5 July 2021, is the first mission that can receive reflected Global Navigation Satellite System (GNSS) signals from GPS, BeiDou and Galileo systems. This paper presents the soil moisture retrieval results from the FY-3E GNOS-II mission using 16 months of data. In this study, the reflectivity observations from different GNSS systems were firstly intercalibrated with some differences analyzed. Observations were also corrected by considering vegetation attenuation for 16 different land cover classifications. Finally, an empirical model was constructed for volumetric soil moisture (VSM) estimation, where the reflectivity of GNOS-II was linearly related to the SMAP reference soil moisture for each 36 km ease grid. The overall root-mean-square error of the retrieved soil moisture is 0.049 compared with the SMAP product, and 0.054 compared with the in situ data. The results of the three GNSS systems show similar levels of accuracy. This paper, for the first time, demonstrates the feasibility of global soil moisture retrieval using multiple GNSS signals.
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Dissertations / Theses on the topic "GNSS data"

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Ortolani, Alberto <1969&gt. "Probabilistic tomography of atmospheric parameters from GNSS data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3922/1/ortolani_alberto_tesi.pdf.

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The objective of the work is the evaluation of the potential capabilities of navigation satellite signals to retrieve basic atmospheric parameters. A capillary study have been performed on the assumptions more or less explicitly contained in the common processing steps of navigation signals. A probabilistic procedure has been designed for measuring vertical discretised profiles of pressure, temperature and water vapour and their associated errors. Numerical experiments on a synthetic dataset have been performed with the main objective of quantifying the information that could be gained from such approach, using entropy and relative entropy as testing parameters. A simulator of phase delay and bending of a GNSS signal travelling across the atmosphere has been developed to this aim.
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Ortolani, Alberto <1969&gt. "Probabilistic tomography of atmospheric parameters from GNSS data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3922/.

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The objective of the work is the evaluation of the potential capabilities of navigation satellite signals to retrieve basic atmospheric parameters. A capillary study have been performed on the assumptions more or less explicitly contained in the common processing steps of navigation signals. A probabilistic procedure has been designed for measuring vertical discretised profiles of pressure, temperature and water vapour and their associated errors. Numerical experiments on a synthetic dataset have been performed with the main objective of quantifying the information that could be gained from such approach, using entropy and relative entropy as testing parameters. A simulator of phase delay and bending of a GNSS signal travelling across the atmosphere has been developed to this aim.
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Bertani, Federico. "Reconstruction of vehicle dynamics from inertial and GNSS data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16105/.

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The increasingly massive collection of data from various types of sensors installed on vehicles allows the study and reconstruction of their dynamics in real time, as well as their archiving for subsequent analysis. This Thesis describes the design of a numerical algorithm and its implementation in a program that uses data from inertial and geo-positioning sensors, with applications in industrial contexts and automotive research. The result was made usable through the development of a Python add-on for the Blender graphics program, able to generate a three-dimensional view of the dynamics that can be used by experts and others. Throughout the Thesis, particular attention was paid to the complex nature of the data processed, introducing adequate systems for filtering, interpolation, integration and analysis, aimed at reducing errors and simultaneously optimizing performances.
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Horn, Matti. "En analys av webbtjänster för bearbetning av GNSS-data." Thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-46743.

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Romano, Vincenzo. "Ionospheric scintillation effects on GNSS : monitoring and data treatment development." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33909/.

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The increasing importance of satellite navigation technologies in modern society implies that a deeper knowledge and a reliable monitoring of the scintillation phenomena are essential to warn and forecast information to the end users and system designers. In fact, warnings, alerts and forecasting of ionospheric conditions may wisely tune the development of GNSS-based services to obtain the necessary levels of accuracy, integrity, and immediacy for reliable life-critical applications. The PhD research project is within the framework of the longstanding NGI-INGV collaboration, increasingly consolidated in the framework of many international projects. NGI pioneered GPS ionospheric scintillation monitoring in Northern Europe with GISTM (GPS ionospheric scintillation and TEC monitor, Van Dierendonck et al., 1993; Van Dierendonck, 2001) receivers. Between June 2001 and December 2003, four units were installed in the UK and Norway mainland, covering the geographic latitudes from 53° N to 70° N. Data was stored and analysed, focusing on statistical analyses and impact for GNSS users (Rodrigues et al., 2004, Aquino et al., 2005a, Aquino et al., 2005b). These units were decommissioned in 2004 and, then, re-deployed together with additional new receivers, in UK, Norway, Italy and Cyprus. An additional station was deployed by the NGI in Dourbes, Belgium (in collaboration with the Royal Meteorological Institute of Belgium) between 2006 and 2011. INGV leads the ISACCO (Ionospheric Scintillation Arctic Campaign Coordinated Observations) project in the Arctic, started in 2003, in which frame the management of three GISTM receivers in Svalbard (De Franceschi et al., 2006) and another two at European mid-latitudes, Chania (Greece) and Lampedusa (Italy), is currently undertaken. The PhD research project contributed to the reinforcement of the NGI-INGV GISTM network developing monitoring, data management and quality tools. Such activities have supported the continuity and the control of the receiving stations, as well as the access and the preservation of the both real-time and historical data acquired. In fact, a robust, continuous data acquisition and a wise management of the GISTM network are of paramount importance for Space Weather applications, as they are the basis on which reliable forecasting and now-casting of possible effects on technological systems lean. Moreover, the possibility to use the data for scientific and applicative purposes depends upon well-established data quality procedures and upon a detailed knowledge of the sites in which each receiver comprising the network are deployed. Starting from these considerations, and in the framework of the aforementioned collaborative context, the PhD work aimed at improving the monitoring techniques and developing novel data processing to improve the data quality. Scintillation measurements are contaminated by multiple scattering encountered by the GNSS signal due to buildings, trees, etc. Such multipath sources need to be identified to keep the quality of the scintillation and TEC data as higher as possible. This can be achieved by removing these sources of errors or mitigating their effects by filtering the data. A novel station characterization technique has been introduced, developed and discussed in this thesis. The results demonstrated that this is a promising method to improve the quality of data (Romano et. al 2013). The results obtained so far motivated the development of the data filtering procedures. The filtering was aimed at filtering-out spurious, noisy data based on general assumptions about statistical data analysis (outlier analysis), thus efficiently removing multipath affected measurements and reducing the data loss with respect to applying a fixed elevation angle cut-off threshold. This is particularly important in case of not well covered regions (e.g. forests, deserts, oceans, etc.), as the field of view spanned by each antenna is optimized. During the PhD activities, the filtering technique has been also tested and validated against real and simulated data. To show how the development of the filtering method is able to efficiently clean multipath and signal degradation from GNSS data, it was applied in two different cases: - First, it was applied to the data published in a climatological study (Alfonsi et al. 2011), carried out with the NGI-INGV GISTM network at high-latitudes. Each station was characterized using the station characterization method, and then the data were filtered using the filtering method. Then, the new climatological maps were generated and compared to the original ones. The percentage of the filtered-out data obtained by applying the standard threshold of 20° on the elevation angle and the filtering technique for each station demonstrated how the latter is able to meaningfully reduce the data loss. The filtering extends the field of view of the network and, then, improves the capability of investigating the dynamics of the ionosphere over larger areas. - Second, the data used in this application were acquired by the CIGALA/CALIBRA network of PolaRxS receivers during the whole year of 2012. The elevation angle cut-off significantly reduced the capability of the network to depict the ionosphere northward of the geomagnetic equator and above the Atlantic Ocean, east of Brazil. This approach limited the data loss to 10-20%, while the traditional cut off of 15°-30° on the elevation angle led to losses of 35-45%. This method not only optimized the capability of GNSS networks, but also helped in planning the installation of additional new receivers aiming to enlarge network coverage in the framework of the CALIBRA project. The enlarged field of view made it possible to identify the increased occurrence of scintillation along the northern crest of the Equatorial Ionospheric Anomaly (EIA). To summarize and to introduce the reader into this thesis, specific issues here addressed are: - Development of software procedures and hardware designs to optimize the station configurations of the existing measurement network of GISTM (GPS Ionospheric Scintillation and TEC Monitor). - Development of techniques for remote, automatic instrument control and setting. - Development of data management tools to achieve quasi real-time data accessibility. - Development of data analysis methods to assess station characterization. - Development of techniques to perform data quality filtering. - Perform acquisition of experimental and simulation data. - Support scientific investigations through the high quality of the NGI-INGV network data.
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Khodabandeh, Amir. "Precise multi-GNSS point positioning: theory, algorithm and data analysis." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/159.

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In this thesis we study the principles and intricacies of the new state-of-the-art precise positioning technique, the PPP-RTK. Both its network- and user-components are discussed. The concept of array-based PPP-RTK is introduced, where its efficiency is demonstrated by multi-Global Navigation Satellite Systems (GNSS) results. Finally an optimal recursive filter is developed to process observation equations of the network- and user-components.
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Yan, Thomas Surya Sanjaya Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Analysis on distribution of real-time GNSS data over IP networks." Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2008. http://handle.unsw.edu.au/1959.4/41286.

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This thesis examines the current implementations for the distribution of real-time GNSS data over IP networks such as the public Internet, focusing on two essential components of the system, data format and transport protocol. The provision of a suitable data format will allow users to take full advantage of the real-time GNSS data distribution system. Types of GNSS supported, message sizes, data rates, data precision levels, hardware and software support and possible future developments are investigated. An analysis is carried out on commonly known GNSS data formats, highlighting the most suitable standard for each evaluation criterion. A similar investigation is carried out on the transport protocols. An analysis is conducted on various design aspects of NTRIP and RT-IGS protocols, covering factors such as data latency, integrity, firewalls and proxy server compatibility and scalability. The analysis also covers the design aspects of the new draft Version 2 of NTRIP. The latter parts of this thesis report on the experiment results aimed at providing assessment of the current level of implementation of NTRIP. Data latency and integrity using NTRIP over the Internet are examined. Their impacts on users applications as the quality of real-time kinematic positioning is assessed. The results show that the performance of the system satisfies the rigorous requirement of the end-user application. The draft version of the new NTRIP indicates that UDP will be also supported. A similar investigation is carried out, providing the first experiment results on the new option. Tests using similar metrics, data latency and integrity, were carried out to verify the inherent differences between TCP and UDP. It was ascertained that, in most cases, UDP does offer improvement in terms of reduced latency over TCP. However this improvement is not significant enough to affect the performance of users applications tested. Compatibility tests were also carried out and the test results show that the new option experiences some compatibility issues with firewalls and wireless networks.
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Polezel, Wesley Gildo Canducci [UNESP]. "Investigações sobre o impacto da modernização do GNSS no Posicionamento." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/86810.

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Made available in DSpace on 2014-06-11T19:22:26Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-02-25Bitstream added on 2014-06-13T20:09:31Z : No. of bitstreams: 1 polezel_wgc_me_prud.pdf: 1240950 bytes, checksum: 142fe3cb11a3c5af3d674c07f9b8cc46 (MD5)
Com a inclusão de novos sinais nos satélites GPS e o advento do sistema Galileo, o posicionamento por satélite entrará em uma nova era, trazendo inovações tecnológicas e científicas, principalmente nas combinações entre diferentes sistemas. Logo, verifica-se a importância de analisar a qualidade dos novos sinais, quantificando suas contribuições na acurácia do posicionamento. Visando contribuir com essa demanda, este trabalho tem o intuito de dar continuidade às pesquisas no Brasil sobre a qualidade advinda da modernização do GNSS utilizando os novos sinais transmitidos pelos satélites. O GNSS engloba o GPS, o GLONASS, o Galileo, o SBAS, o Beidou e o LAAS. Entretanto, neste trabalho apenas os sistemas GPS, GLONASS e Galileo serão abordados. Com esses três sistemas é possível realizar combinações lineares para integrá-los no posicionamento por ponto e relativo. Alguns problemas nessa combinação foram detectados com indicações de soluções para os efeitos não modelados. No que concerne aos efeitos da ionosfera, uma combinação ion-free utilizando três freqüências foi apresentada, permitindo eliminar os efeitos de primeira e segunda ordem da ionosfera. Apresenta-se também uma revisão bibliográfica do estado da arte da solução da ambigüidade utilizando esses três sistemas. Além disso, foi realizado um experimento a fim de analisar a qualidade do novo sinal L2C. Nas análises, tal como esperado, os satélites modernizados apresentaram melhores resultados do que os satélites não modernizados. Como o sistema Galileo ainda não está operacional, foi implementado no software GPSeq a interoperabilidade dos sinais GPS e GLONASS e realizadas análises comparando tais sistemas no posicionamento relativo. Além disso, comparou-se os resultados do software GPSeq com softwares comerciais. Os resultados, em alguns momento...
With the addition of new signals in GPS satellites and the advent of Galileo system, the satellite positioning will start a new era, which will require technologic and scientific innovations mainly in combinations of these systems. Therefore, analyzing the new signal quality and quantifying their contribution in the positioning accuracy are very important. Thus, this research points out the importance of continuing investigations in Brazil about GNSS modernization using the new signals transmitted by the satellites. The GNSS include GPS, GLONASS, Galileo, SBAS, Beidou and LAAS. However, in this work only GPS, GLONASS and Galileo system are taken into account. In order to integrate these three systems it is possible to accomplish linear combinations in absolute and relative positioning. Some problems in these combinations were detected and solutions for the unmodeled effects were recommended. For the ionospheric effect, an ion-free combination using three frequencies was performed. This combination can eliminate the ionosphere effects of first and second order. In this paper a bibliographical revision of the ambiguity solution using three systems is accomplished. Furthermore, an experiment was carried out to analyze... (Complete abstract click electronic access below)
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Takahashi, Atsushi. "Hierarchical Cluster Analysis of Dense GNSS Data and Interpretation of Cluster Characteristics." Kyoto University, 2019. http://hdl.handle.net/2433/244510.

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Polezel, Wesley Gildo Canducci. "Investigações sobre o impacto da modernização do GNSS no Posicionamento /." Presidente Prudente : [s.n.], 2010. http://hdl.handle.net/11449/86810.

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Resumo: Com a inclusão de novos sinais nos satélites GPS e o advento do sistema Galileo, o posicionamento por satélite entrará em uma nova era, trazendo inovações tecnológicas e científicas, principalmente nas combinações entre diferentes sistemas. Logo, verifica-se a importância de analisar a qualidade dos novos sinais, quantificando suas contribuições na acurácia do posicionamento. Visando contribuir com essa demanda, este trabalho tem o intuito de dar continuidade às pesquisas no Brasil sobre a qualidade advinda da modernização do GNSS utilizando os novos sinais transmitidos pelos satélites. O GNSS engloba o GPS, o GLONASS, o Galileo, o SBAS, o Beidou e o LAAS. Entretanto, neste trabalho apenas os sistemas GPS, GLONASS e Galileo serão abordados. Com esses três sistemas é possível realizar combinações lineares para integrá-los no posicionamento por ponto e relativo. Alguns problemas nessa combinação foram detectados com indicações de soluções para os efeitos não modelados. No que concerne aos efeitos da ionosfera, uma combinação ion-free utilizando três freqüências foi apresentada, permitindo eliminar os efeitos de primeira e segunda ordem da ionosfera. Apresenta-se também uma revisão bibliográfica do estado da arte da solução da ambigüidade utilizando esses três sistemas. Além disso, foi realizado um experimento a fim de analisar a qualidade do novo sinal L2C. Nas análises, tal como esperado, os satélites modernizados apresentaram melhores resultados do que os satélites não modernizados. Como o sistema Galileo ainda não está operacional, foi implementado no software GPSeq a interoperabilidade dos sinais GPS e GLONASS e realizadas análises comparando tais sistemas no posicionamento relativo. Além disso, comparou-se os resultados do software GPSeq com softwares comerciais. Os resultados, em alguns momento... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: With the addition of new signals in GPS satellites and the advent of Galileo system, the satellite positioning will start a new era, which will require technologic and scientific innovations mainly in combinations of these systems. Therefore, analyzing the new signal quality and quantifying their contribution in the positioning accuracy are very important. Thus, this research points out the importance of continuing investigations in Brazil about GNSS modernization using the new signals transmitted by the satellites. The GNSS include GPS, GLONASS, Galileo, SBAS, Beidou and LAAS. However, in this work only GPS, GLONASS and Galileo system are taken into account. In order to integrate these three systems it is possible to accomplish linear combinations in absolute and relative positioning. Some problems in these combinations were detected and solutions for the unmodeled effects were recommended. For the ionospheric effect, an ion-free combination using three frequencies was performed. This combination can eliminate the ionosphere effects of first and second order. In this paper a bibliographical revision of the ambiguity solution using three systems is accomplished. Furthermore, an experiment was carried out to analyze... (Complete abstract click electronic access below)
Orientador: João Francisco Galera Monico
Coorientador: Eniuce Menezes de Souza
Banca: Helio Koiga Kuga
Banca: Daniela Barrocá Marra Alves
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Books on the topic "GNSS data"

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Morozova, Katerina. Parameter Estimation on Hybrid Zenith Camera and Gravimeter Data for Integrated Gravity Field and Geoid Determination Based on Spherical-cap-harmonics Modelling. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228179.

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The main objective of the Doctoral Thesis is to develop a new solution for the Earth gravity field determination based on spherical-cap-harmonic modelling, using both vertical deflection and gravimetric hybrid data. The values of vertical deflections caused by gravity field anomaly are computed using digital zenith camera. It is a new kind of astrogeodetic instrument employing recent advancements in several areas of technology. The intention is to use vertical deflections along with GNSS/levelling and gravity data to improve the local quasi-geoid model including both physical and geometrical data.
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Book chapters on the topic "GNSS data"

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Awange, Joseph. "Data Processing and Adjustment." In GNSS Environmental Sensing, 97–113. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58418-8_6.

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Lo Presti, Letizia, and Marco Pini. "Methods for Protection-Level Evaluation with Augmented Data." In GNSS for Rail Transportation, 87–118. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79084-8_5.

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Dong, Feihong, Jing Lv, Yong Yu, Qingqing Wang, and Caiwu Wang. "Inter-satellite Traffic Data Modeling for GNSS." In Lecture Notes in Electrical Engineering, 69–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29175-3_7.

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Vesnin, Artem. "Real-Time Data Assimilation for Space Weather Effects Mitigation on GNSS/SBAS." In Space Weather Impact on GNSS Performance, 255–319. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15874-2_6.

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Li, Bin, Jizhang Sang, and Yun Wu. "Validation of GNSS ARAIM Algorithm Using Real Data." In Lecture Notes in Electrical Engineering, 203–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54743-0_18.

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Yao, Xiang, Mingjian Chen, Jianguang Wang, and Rui Chen. "Quality Analysis of GNSS Data in Polar Region." In Lecture Notes in Electrical Engineering, 376–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7759-4_34.

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Cooke, Tommy. "Smartphones, APIs & GNSS (Not GPS) Location Data." In Privacy, 78–106. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003173335-4.

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Rawiel, Paul. "Positioning of Pedelecs for a Pedelec Sharing System with Free-Floating Bikes." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 51–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_5.

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AbstractFor intelligent mobility concepts in growing urban environments, positioning of transportation vehicles and generally moving objects is a fundamental prerequisite. Global Navigation Satellite Systems (GNSS) are commonly used for this purpose, but especially in urban environments under certain conditions, they offer limited accuracy due to buildings, tunnels, etc. that can deviate or mask the satellite signals. The use of existing built-in sensors of the vehicle and the installation of additional sensors can be utilized to describe the movement of the vehicle independently of GNSS. This conforms to the concept of dead reckoning (DR). Both systems (GNSS and DR) can be integrated and prepared to work together since they compensate their respective weaknesses efficiently. In this study, a method to integrate different inertial sensors (gyroscope and accelerometer) and GNSS is investigated. Pedelecs usually do not have many inbuilt additional sensors like it is the case in cars; therefore, additional low-cost sensors have to be used. An extended Kalman filter (EKF) is the base of calculations to perform data integration. Driving tests are realized to check the performance of the integration model. The results show that positioning in situations where GNSS data is not available can be done through dead reckoning for a short period of time. The weak point hereby is the calibration of the accelerometer. Inaccurate accelerometer data cause increasing inaccuracy of the position due to the double integration of the acceleration over time.
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Ruston, Benjamin, Neill Bowler, Sean Healy, and Hui Shao. "GNSS-RO Sounding in the Troposphere and Stratosphere." In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), 373–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77722-7_13.

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Mu, Renhai, Yamin Dang, and Changhui Xu. "BDS-3/GNSS Data Quality and Positioning Performance Analysis." In Lecture Notes in Electrical Engineering, 368–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3707-3_35.

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Conference papers on the topic "GNSS data"

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Lohan, Elena Simona, Jukka Talvitie, and Gonzalo-Seco Granados. "Data fusion approaches for WiFi fingerprinting." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533847.

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Navarro, Vicente, and Javier Ventura-Traveset. "A DATA-INTENSIVE APPROACH TO EXPLOIT NEW GNSS SCIENCE OPPORTUNITIES." In 3rd Congress in Geomatics Engineering. Valencia: Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/cigeo2021.2021.12740.

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With the current GNSS infrastructure development plans, over 120 GNSS satellites (including European Galileo satellites)will provide, already this decade, continuous data, in several frequencies, without interruption and on a permanent basis.This global and permanent GNSS infrastructure constitutes a major opportunity for GNSS science applications. In themeantime, recent advances in technology have contributed "de-facto" to the deployment of a large GNSS receiver arraybased on Internet of Things (IoT), affordable smart devices easy to find in everybody’s pockets. These devices – evolvingfast at each new generation – feature an increasing number of capabilities and sensors able to collect a variety ofmeasurements, improving GNSS performance. Among these capabilities, Galileo dual band smartphones receivers andAndroid’s support for raw GNSS data recording represent major steps forward for Positioning, Navigation and Timing (PNT)data processing improvements. Information gathering from these devices, commonly referred as crowdsourcing, opensthe door to new data-intensive analysis techniques in many science domains. At this point, collaboration between variousresearch groups is essential to harness the potential hidden behind the large volumes of data generated by thiscyberinfrastructure. Cloud Computing technologies extend traditional computational boundaries, enabling execution ofprocessing components close to the data. This paradigm shift offers seamless execution of interactive algorithms andanalytics, skipping lengthy downloads and setups. The resulting scenario, defined by a GNSS Big Data repository with colocatedprocessing capabilities, sets an excellent basis for the application of Artificial Intelligence / Machine Learning (ML)technologies in the context of GNSS. This unique opportunity for science has been recognized by the European SpaceAgency (ESA) with the creation of the Navigation Scientific Office, which leverages on GNSS infrastructure to deliverinnovative solutions across multiple scientific domains.
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Ferrara, Nunzia Giorgia, Jari Nurmi, and Elena Simona Lohan. "Multi-GNSS analysis based on full constellations simulated data." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533863.

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Karttunen, Aki, Mikko Valkama, and Jukka Talvitie. "Positioning Based on Noise-Limited Censored Path Loss Data." In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2020. http://dx.doi.org/10.1109/icl-gnss49876.2020.9115572.

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Qu, Yi, Haitao Wu, and Ting Liu. "GNSS Data Provenance Traceability Research." In 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15318.

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Thombre, Sarang, and Jari Nurmi. "Bandpass-sampling based GNSS sampled data generator — A design perspective." In 2012 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2012. http://dx.doi.org/10.1109/icl-gnss.2012.6253114.

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Imam, Rayan, Marco Pini, Gianluca Marucco, Fabrizio Dominici, and Fabio Dovis. "Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations." In 2019 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2019. http://dx.doi.org/10.1109/icl-gnss.2019.8752942.

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Klus, Roman, Jukka Talvitie, and Mikko Valkama. "Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G." In 2021 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2021. http://dx.doi.org/10.1109/icl-gnss51451.2021.9452245.

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Soininen, Tero, Paula Syrjarinne, Simo Ali-Loytty, and Christoph Schmid. "Data-Driven Approach to Satellite Selection in Multi-Constellation GNSS Receivers." In 2018 8th International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2018. http://dx.doi.org/10.1109/icl-gnss.2018.8440912.

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Leitinger, Erik, Florian Meyer, Paul Meissner, Klaus Witrisal, and Franz Hlawatsch. "Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533839.

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Reports on the topic "GNSS data"

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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, Raja Manish, and Radhika Ravi. Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317385.

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With the advent of modern sensing technology, mapping products have begun to achieve an unprecedented precision of measurement. Considering their diverse use cases, several factors play a role in what would make the resulting measurements accurate. For light detection and ranging (LiDAR) and photogrammetry-based mapping solutions that implement vehicles outfitted with laser ranging devices, RGB cameras, and global navigation satellite system/inertial navigation system (GNSS/INS) georeferencing units, the quality of the derived mapping products is governed by the combined accuracy of the various sensors. While ranging errors associated with LiDAR systems or the imaging quality of RGB cameras are sensor-dependent and are mostly constant, the accuracy of a georeferencing unit depends on a variety of extrinsic factors, including but not limited to, availability of clear line-of-path to GNSS satellites and presence of radio interferences. The quality of the GNSS signal, in turn, is affected by the grade of hardware components used and, to a great extent, obstructions to signal reception. This document reports some of the major challenges of vehicle-based mobile mapping with regards to GNSS/INS navigation. The background of GNSS/INS positioning is discussed to build a framework for trajectory enhancement as well as improvement of LiDAR mapping products. The focus is put on using available sensor data from LiDAR and/or cameras to enhance their position/orientation quality. Some best practices in light of potential trajectory deterioration are also recommended.
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Pstuty, Norbert, Mark Duffy, Dennis Skidds, Tanya Silveira, Andrea Habeck, Katherine Ames, and Glenn Liu. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, June 2022. http://dx.doi.org/10.36967/2293713.

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Following a review of Vital Signs – indicators of ecosystem health – in the coastal parks of the Northeast Coastal and Barrier Network (NCBN), knowledge of shoreline change was ranked as the top variable for monitoring. Shoreline change is a basic element in the management of any coastal system because it contributes to the understanding of the functioning of the natural resources and to the administration of the cultural resources within the parks. Collection of information on the vectors of change relies on the establishment of a rigorous system of protocols to monitor elements of the coastal geomorphology that are guided by three basic principles: 1) all of the elements in the protocols are to be based on scientific principles; 2) the products of the monitoring must relate to issues of importance to park management; and 3) the application of the protocols must be capable of implementation at the local level within the NCBN. Changes in ocean shoreline position are recognized as interacting with many other elements of the Ocean Beach-Dune Ecosystem and are thus both driving and responding to the variety of natural and cultural factors active at the coast at a variety of temporal and spatial scales. The direction and magnitude of shoreline change can be monitored through the application of a protocol that tracks the spatial position of the neap-tide, high tide swash line under well-defined conditions of temporal sampling. Spring and fall surveys conducted in accordance with standard operating procedures will generate consistent and comparable shoreline position data sets that can be incorporated within a data matrix and subsequently analyzed for temporal and spatial variations. The Ocean Shoreline Position Monitoring Protocol will be applied to six parks in the NCBN: Assateague Island National Seashore, Cape Cod National Seashore, Fire Island National Seashore, Gateway National Recreation Area, George Washington Birthplace National Monument, and Sagamore Hill National Historic Site. Monitoring will be accomplished with a Global Positioning System (GPS )/ Global Navigation Satellite System (GNSS) unit capable of sub-meter horizontal accuracy that is usually mounted on an off-road vehicle and driven along the swash line. Under the guidance of a set of Standard Operating Procedures (SOPs) (Psuty et al., 2022), the monitoring will generate comparable data sets. The protocol will produce shoreline change metrics following the methodology of the Digital Shoreline Analysis System developed by the United States Geological Survey. Annual Data Summaries and Trend Reports will present and analyze the collected data sets. All collected data will undergo rigorous quality-assurance and quality-control procedures and will be archived at the offices of the NCBN. All monitoring products will be made available via the National Park Service’s Integrated Resource Management Applications Portal.
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