{"id":773168,"date":"2026-05-11T10:51:07","date_gmt":"2026-05-11T17:51:07","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcuser&#038;p=773168"},"modified":"2026-05-11T10:51:07","modified_gmt":"2026-05-11T17:51:07","slug":"gnss-accuracy-unlocked-how-correction-methods-improve-field-data-collection","status":"publish","type":"arcuser","link":"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/gnss-accuracy-unlocked-how-correction-methods-improve-field-data-collection","title":{"rendered":"GNSS Accuracy Unlocked: How Correction Methods Improve Field Data Collection"},"author":6921,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","transcript_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[25002],"tags":[18442,434431,443871,276582,493489],"arcuser_issues":[493467],"class_list":["post-773168","arcuser","type-arcuser","status-publish","format-standard","hentry","category-developers-corner","tag-data-collection","tag-gnss","tag-gnss-receivers","tag-gps","tag-rtk","arcuser_issues-spring-2026"],"acf":{"short_description":"Understanding what methods deliver GNSS precision can mean the difference between efficient operations and costly mistakes.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"When a utility technician needs to\u00a0locate\u00a0an underground valve buried beneath snow and vegetation, or when a construction inspector must verify that a newly installed water line matches design specifications within a few\u00a0centimeters, basic GPS accuracy\u00a0isn\u2019t\u00a0enough. Today\u2019s GIS professionals need positioning precision that ranges from submeter- to\u00a0centimeter-level accuracy. Understanding the correction methods that deliver this precision\u2014and knowing which method fits your project requirements\u2014can mean the difference between efficient operations and costly mistakes.\r\n<h2>What Is GNSS?<\/h2>\r\nGPS has become the common technology for\u00a0determining\u00a0outdoor location using smartphones or specialized receivers. However, GPS is just one\u00a0component\u00a0of a broader positioning infrastructure, the Global Navigation Satellite System (GNSS). Many countries and regions now\u00a0operate\u00a0their own satellite navigation systems, including GLONASS (Russia), Galileo (European Union), BeiDou (China), QZSS (Japan), and\u00a0NavIC\u00a0(India).\r\n\r\nThe original GPS constellation,\u00a0established\u00a0in 1973 by the US Department of\u00a0Defense,\u00a0maintains\u00a0about 31 active GNSS satellites out of the more than 100 operational satellites that orbit the Earth. In California, a\u00a0multiconstellation\u00a0GNSS receiver typically tracks more than 25 satellites simultaneously\u2014a dramatic increase from the early days when users had to carefully plan collection windows to ensure adequate satellite visibility.\r\n<h2>Why More Satellites Matter for\u202fGIS<\/h2>"},{"acf_fc_layout":"image","image":773170,"image_position":"left","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"To calculate a three-dimensional position, a GNSS receiver must track signals from at least four satellites. More satellites provide several advantages for GIS data collection, including the following:\r\n<ul>\r\n \t<li>Improved availability in difficult environments. Urban canyons and dense forests that once blocked GPS signals now allow positioning, thanks to multiple GNSS constellations providing alternative satellite coverage.<\/li>\r\n \t<li>Enhanced accuracy via multifrequency signals. Modern GNSS satellites\u00a0transmit\u00a0multiple radio frequency signals. For example, GPS now broadcasts L1 C\/A, L1C, L2C, and L5 signals for civilian use, expanding from the original single L1 C\/A signal. These multifrequency signals help receivers reduce ionospheric delay, which is the largest error source for stand-alone GNSS positioning.<\/li>\r\n \t<li>Better reliability for field operations. Field crews no longer need to schedule data collection around satellite availability, improving operational flexibility.<\/li>\r\n<\/ul>\r\n<h2>What High-Accuracy GNSS Can Do for GIS<\/h2>\r\nStand-alone GNSS typically provides two- to five-meter accuracy in open areas, but performance degrades in challenging environments with tree canopy, buildings, or other obstructions. For many GIS applications, this level of accuracy proves insufficient.\r\n\r\nConsider these field scenarios where higher precision (submeter- to\u00a0centimeter-level) matters:\r\n<ul>\r\n \t<li>Utility location and maintenance\u2014Precise positioning is\u00a0required\u00a0to efficiently\u00a0locate\u00a0underground assets hidden by snow, soil, grass, or vegetation. Higher accuracy helps technicians avoid delays, reduce excavation costs, and prevent damage during digging operations.<\/li>\r\n \t<li>Construction verification\u2014Inspectors need\u00a0centimeter-level accuracy to confirm that installed infrastructure matches design specifications. An out-of-tolerance installation that goes undetected due to poor GNSS accuracy can trigger project delays or expensive rework.<\/li>\r\n \t<li>Asset differentiation in dense areas\u2014Where multiple trees, valves, signs, or utility points cluster together, precise positioning becomes essential for distinguishing between similar assets and\u00a0maintaining\u00a0accurate\u00a0records.<\/li>\r\n<\/ul>\r\n<h2>What\u2019s\u00a0the Differential?<\/h2>\r\nDifferential correction techniques improve GNSS accuracy by calculating and removing systematic errors. The underlying principle has been the same for decades. Two receivers\u00a0located\u00a0relatively close\u00a0together experience similar atmospheric and satellite errors. By calculating these errors at a precisely known location and applying corrections to a roving receiver, differential methods achieve higher accuracy.\r\n\r\nHowever, today\u2019s correction methods differ from methods of the past when it comes to implementation, coverage area, accuracy level, and cost structure.\u00a0Understanding these differences helps you select the\u00a0appropriate method\u00a0for your projects.\r\n<h2>RTK Positioning<\/h2>\r\nReal-time kinematic (RTK) positioning\u00a0remains\u00a0the most popular correction method for achieving\u00a0centimeter-level accuracy. It requires at least two GNSS receivers: a base station at a precisely known location and a rover collecting field data. The base station calculates errors by comparing its computed position against its known location, then transmits corrections to the rover."},{"acf_fc_layout":"image","image":773171,"image_position":"right","orientation":"vertical","hyperlink":""},{"acf_fc_layout":"content","content":"RTK accuracy depends heavily on the baseline, which is the distance between base and rover. Manufacturers express baseline accuracy in parts per million (ppm). One ppm equals one\u00a0millimeter\u00a0of error per\u00a0kilometer\u00a0of distance. For example, a receiver with 8 mm + 1 ppm horizontal accuracy starts with 8 mm base accuracy, but at 30 km from the base station, accuracy decreases to 3.8 cm. As accuracy degrades with distance, initialization time also increases.\r\n\r\nNetwork RTK (NRTK) and real-time network (RTN) technology use multiple base stations to cover wider regions, overcoming single-base RTK distance limitations. Virtual reference station (VRS) systems create a virtual base station near the user\u2019s location by computing corrections from multiple reference stations.\r\n\r\nMost GIS users rely on existing base station infrastructure rather than deploying their own stations. Options include permanent company-owned stations and third-party services from government agencies or commercial providers. In the United States, some state departments of transportation provide free statewide RTK services.\r\n<h2>Understanding RTK Data Standards<\/h2>\r\nStandardization plays a critical role in RTK operations. The Radio Technical Commission for Maritime Services (RTCM) Special Committee (SC) 104 standardizes RTK correction data protocols. In 2023, RTCM SC 134 standardized narrow-band ultra-high frequency radio data links, improving on earlier proprietary manufacturer protocols.\r\n\r\nFor internet-based corrections, Networked Transport of RTCM via Internet Protocol (NTRIP) serves as the widely adopted standard. Finding an RTK correction source means\u00a0identifying\u00a0an NTRIP caster\u2014a server that broadcasts correction data. Each caster offers multiple mount points, which are unique identifiers for specific correction data streams.\r\n\r\nMount point selection matters because it\u00a0determines\u00a0which satellite constellations your rover can use. For example, Esri\u2019s base station (a Trimble NetR9 receiver) in Redlands, California, provides three mount points: gisar23 (GPS only), gisar30 (GPS plus GLONASS), and gisaMSM5 (multiconstellation\u00a0GNSS). Selecting\u00a0gisar23 limits the RTK solution to GPS satellites, even if the rover supports\u00a0additional\u00a0constellations.\r\n<h2>Satellite-Based Augmentation System<\/h2>"},{"acf_fc_layout":"image","image":773172,"image_position":"left","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"A satellite-based augmentation system (SBAS) provides free submeter-level accuracy in many global regions and commonly comes built into professional GNSS receivers. Government agencies operate SBASs, which collect corrections from multiple reference stations, relay data to a main station, and uplink corrections to geostationary satellites. Your GNSS rover receives corrections directly from these satellites. SBAS coverage regions include the following:\r\n<ul>\r\n \t<li>Wide Area Augmentation System (WAAS)\u2014North America<\/li>\r\n \t<li>European Geostationary Navigation Overlay Service (EGNOS)\u2014Europe<\/li>\r\n \t<li>BeiDou Satellite-Based Augmentation System (BDSBAS)\u2014China<\/li>\r\n \t<li>Multi-functional Satellite Augmentation System (MSAS)\u2014Japan<\/li>\r\n \t<li>GPS Aided Geo Augmented Navigation (GAGAN)\u2014India<\/li>\r\n \t<li>System for Differential Corrections and Monitoring (SDCM)\u2014Russia<\/li>\r\n \t<li>Southern Positioning Augmentation Network (SouthPAN)\u2014Australia and New Zealand<\/li>\r\n<\/ul>\r\nEach system covers a wide area\u2014sometimes an entire continent. And because SBAS delivers corrections via satellite, it works in areas lacking cellular or\u00a0internet connectivity.\r\n<h2>Precise Point Positioning<\/h2>\r\nWhile differential methods compute differences between base and rover measurements, precise point positioning (PPP) takes a different approach. It models error-causing factors and estimates corrections from a global network of reference stations. PPP offers several advantages: global coverage, no baseline distance limitations, and better accuracy than SBAS. It typically achieves 3- to 10-cm accuracy after an initialization period of about 20 minutes.\r\n\r\nPPP-RTK\u00a0represents\u00a0the latest evolution in correction methods, combining PPP and RTK techniques to reduce initialization time while\u00a0maintaining\u00a0near-RTK accuracy. It uses reference station networks to compute satellite and regional atmospheric errors, then broadcasts correction data. Unlike standard PPP, PPP-RTK provides regional rather than global coverage."},{"acf_fc_layout":"image","image":773173,"image_position":"right","orientation":"vertical","hyperlink":""},{"acf_fc_layout":"content","content":"Both PPP and PPP-RTK can broadcast via internet or satellite. Satellite signal delivery makes these methods valuable for\u00a0accurate\u00a0positioning in areas without internet access. Beyond commercial PPP services, some governments provide free services including Japan\u2019s\u00a0Centimeter\u00a0Level Augmentation Service from Quasi-Zenith\u00a0Satellite System (QZSS) satellites and Galileo\u2019s High-Accuracy Service (HAS). These services cover specific regions with varying accuracy and initialization performance.\r\n<h2>Postprocessing Methods<\/h2>\r\nAll these methods provide real-time corrections,\u00a0eliminating\u00a0office processing work. However, some applications\u00a0benefit\u00a0from postprocessing approaches. For example, the Post Processed Kinematic (PPK) data processing technique commonly supports drone mapping operations. It records raw GNSS data during flight, then processes it after completion using measurements from a nearby base station with a known location. In remote areas or complex environments where signal loss might occur, PPK can improve the yield of\u00a0accurate\u00a0positions during missions.\r\n<h2>Matching Methods to Your Project Needs<\/h2>\r\nDetermining\u00a0your approach starts by defining your accuracy requirements. If submeter accuracy suffices, SBAS is a cost-effective solution\u00a0that\u2019s\u00a0often free and built into professional GNSS receivers. When projects demand\u00a0centimeter-level precision, RTK or PPP methods may be a better choice. Also consider these factors:\r\n<ul>\r\n \t<li>Available coverage and baseline distance<\/li>\r\n \t<li>Data delivery options (internet versus satellite)<\/li>\r\n \t<li>Service ownership and infrastructure costs<\/li>\r\n \t<li>Initialization time requirements<\/li>\r\n \t<li>Need for real-time positioning versus postprocessing<\/li>\r\n<\/ul>"},{"acf_fc_layout":"image","image":773174,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Selecting the right correction method balances accuracy needs, budget, and operational constraints. Carefully evaluating project requirements alongside available infrastructure and service options can help ensure reliable positioning performance while\u00a0optimizing\u00a0efficiency and cost.\r\n\r\nExpanded GNSS constellation and modern correction techniques have transformed field data collection capabilities for GIS professionals. Understanding these correction methods, as well as their specific strengths and limitations, can empower users to capture the high-accuracy spatial data that their projects demand."}],"references":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GNSS Accuracy Unlocked | Spring 2026 | ArcUser<\/title>\n<meta name=\"description\" content=\"Understanding what methods deliver GNSS precision can mean the difference between efficient operations and costly mistakes.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/gnss-accuracy-unlocked-how-correction-methods-improve-field-data-collection\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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