Correct EXIF Location Information of Construction Photos with LRTK: Achieving Reliable Location Records
By LRTK Team (Lefixea Inc.)
Table of Contents
• What is EXIF location information?
• Problems Caused by Location Drift
• Methods to Correct EXIF Location Information
• High-Precision Positioning with RTK
• High-Precision Location Recording for Construction Photos with LRTK
• Benefits of Accurate Location Records on Site
• Simple Surveying Solutions with LRTK
• FAQ
What is EXIF location information?
Exif (Exchangeable Image File Format) is metadata contained in digital photo files that can record information such as the shooting date and camera settings, as well as the latitude and longitude of the shooting location. When you take photos with a smartphone or a GPS-equipped camera, location information (so-called geotags) is automatically embedded in the photo data. In construction photos, this location information is an important record indicating “where the photo was taken.” Especially on large construction sites or during infrastructure inspections, accurately recording the shooting location makes it clear which part of the site is shown when photos are reviewed later. For example, even on sites with many similar structures, a location tag on a photo allows you to identify the exact spot—such as “near ○○ in the north area of the site”—making it easier for all stakeholders to share the same understanding.
In recent years, including location information (GPS coordinates) in photo data has become mandatory in electronic delivery guidelines for public works. For that reason, accurately recording the EXIF location information of construction photos is a key element that supports the reliability of construction process evidence. By clearly indicating the shooting location in addition to the image itself, photos can be easily linked to drawings and survey data during quality control and report preparation. In other words, ensuring the reliability of location information in construction photos greatly improves the accuracy and trustworthiness of site records.
Problems Caused by Location Drift
However, the GPS built into smartphones has accuracy limitations. Generally, coordinates obtained by a smartphone are said to have an error of approximately 5-10 m (16.4-32.8 ft), and in some cases they can deviate even more. In places with poor satellite reception—such as the gaps between high-rise buildings or mountainous areas—positions can even shift by tens of meters. In practice, conventional smartphone or digital camera location tags often show errors of several meters, and attempts to precisely match the photo’s shooting point on a map may not align.
When the recorded location differs from the actual location, confusion arises when interpreting site conditions from the record photos. Photos taken at different locations may be misinterpreted, or you may later be unsure “where this photo was taken.” For example, on a large construction site, an error of 5 m (16.4 ft) could cause a photo to be incorrectly associated with an adjacent section or structure. Also, when compiling photos into reports, each image may need to be individually checked and corrected to compensate for location drift, creating a large workload both on site and in the office.
As a countermeasure to such location drift, it has been common to add supplementary information to photos manually. For example, notes like “near ○○” or “close to △△” may be written in a photo ledger, or photos may be cross-referenced with numbered points on a site sketch. However, these analog methods impose heavy work burdens and carry the risk of human error. If the EXIF location information embedded in photo data is itself incorrect, it must be corrected later to the true coordinates, but that correction is a specialized task and still leaves questions about the credibility of the record. In short, under the current conditions, EXIF location information in construction photos is insufficient to be considered a “reliable record,” and a fundamental improvement in accuracy is required.
Methods to Correct EXIF Location Information
If the location information recorded in Exif is incorrect, it is possible to correct (edit) it afterward. Using dedicated Exif editing software or photo management apps, you can rewrite the latitude and longitude values embedded in an image file and update them to the correct coordinates. For example, you can identify the accurate position on a map, manually enter those coordinates into the photo data, and apply the changes. There are also tools that automatically reassign location tags by matching the photo’s timestamp with GPS logger track data. Using these methods, it is theoretically possible to correct Exif location information to the correct values after noticing location drift.
However, manual correction of Exif location information has many drawbacks. First, determining the correct coordinates in the first place is not easy. To precisely identify the shooting location you ultimately need coordinates measured with separate surveying equipment or careful positioning on a map. Even correcting errors of a few meters by eye or estimation can introduce new inaccuracies. Second, the workload of correcting multiple photos is very large. While one or two images may be manageable, it is unrealistic to check and overwrite coordinates on dozens of photos one by one on a map. Additionally, rewriting Exif data with common image editors may be regarded as data tampering. For photos submitted for public works, altering metadata after shooting can undermine credibility, so casual corrections are not recommended.
For these reasons, retrospectively correcting the location information of construction photos is inefficient and undesirable from the perspective of record reliability. It is far more effective to introduce a system that can record high-precision location information from the outset and eliminate drift at the time of shooting. The key to this is the high-precision positioning technology called RTK (Real Time Kinematic), which is discussed next.
High-Precision Positioning with RTK
RTK (Real Time Kinematic) is a method that enables high-precision position measurement by correcting satellite positioning errors in real time. Normally, positioning using GNSS satellites such as GPS yields a standalone receiver accuracy of only a few meters due to small errors in the satellite signal. Factors such as satellite orbit and clock errors and signal delays in the atmosphere are the main causes, and smartphone GPS alone typically shows deviations of around 5-10 m (16.4-32.8 ft). RTK, however, uses a reference station (base station) whose exact position is known in advance; it calculates in real time the difference (error) between the position measured at the base station and the satellite-derived position. That correction data is sent to the moving receiver (rover), and by cancelling the error components in the rover’s position solution, centimeter-level accuracy is achieved. In other words, by taking the difference between a “stationary positioning point” and a “moving positioning point,” RTK drastically reduces positioning errors.
In traditional RTK surveying, the user needed to set up a base station on-site and transmit correction information via radio while working. Recently, however, networked RTK services provided by government and private organizations make high-precision positioning possible with only a rover unit at hand. For example, Japan’s Geospatial Information Authority maintains a GNSS reference station network called GEONET with approximately 1,300 locations, and many telecom and surveying equipment manufacturers offer paid correction services. By using these services, RTK positioning can be performed without deploying a base station at each site. Also, systems that enhance positioning accuracy by receiving correction signals directly from satellites—such as the centimeter-level augmentation service (CLAS) provided by Japan’s Quasi-Zenith Satellite System “Michibiki”—are emerging. Receivers compatible with CLAS can achieve centimeter-level positioning without internet access, even in mountainous or maritime environments.
By using RTK technology and correction information, positioning errors that used to be on the order of meters can be reduced to centimeters. This accuracy rivals that of conventional high-end surveying equipment and is increasingly used in fields such as civil engineering surveying and agricultural autonomous driving. Notably, solutions that enable this RTK high-precision positioning to be used easily with smartphones have recently appeared. The next section looks in detail at LRTK systems that use a smartphone and a dedicated device to correct the location information of construction photos in real time.
High-Precision Location Recording for Construction Photos with LRTK
LRTK is a high-precision location recording system that makes RTK-style centimeter-level positioning easy to use with a smartphone. It consists of a pocket-sized dedicated RTK-GNSS receiver (LRTK device) that attaches to a smartphone and an app, allowing you to obtain your current position with accuracy far beyond the smartphone’s built-in GPS. With LRTK, errors that were previously over 5 m (16.4 ft) with smartphone GPS can be reduced to within a few centimeters (within a few inches), rivaling professional surveying instruments. When you power on the dedicated device on site and connect it to your smartphone, real-time corrections to GNSS satellite data begin, and high-precision positioning is achieved in a short time. The app displays the RTK reception status (satellite count and correction status), and once a Fix solution (integer solution) is obtained and accuracy stabilizes, it’s time to shoot. Once ready, simply take photos with the smartphone camera and the centimeter-precision coordinates measured at that moment are automatically recorded in the photo file’s Exif metadata.
With LRTK, taking a construction photo and obtaining a high-precision position are accomplished in one action. Previously, you might have needed to obtain GPS coordinates separately after taking a photo or to reconcile photos with survey data, but with LRTK a single shutter press automatically records everything about “when, where, and in which direction the photo was taken.” In addition to latitude, longitude, and altitude of the shooting point, the camera’s orientation (bearing) from the smartphone’s orientation sensor is also saved in the metadata, so you can know “which direction the photo was taken” for each image. Site personnel do not need to switch to specialized surveying equipment; they can capture the situation in front of them with a smartphone and obtain photo data with reliable positioning information.
Captured photo data can be immediately reviewed or shared on site. The LRTK app can plot each photo’s shooting location on a map so you can visually confirm “which point the photo corresponds to” right after shooting. Because the photo files include height information as well as latitude and longitude, they can easily be imported into other GIS software or CAD drawings as needed. Furthermore, LRTK systems often include a function to upload photos and location data to the cloud in real time. When photos are synchronized to the cloud, each shooting point is automatically shown as a pin on a map, making it obvious where photos were taken even from the office. In this way, LRTK dramatically improves the accuracy and convenience of recording location information for construction photos and greatly streamlines site record workflows. It is an intuitive tool that does not require surveying expertise, allowing anyone to leave reliable location-attached photos on site.
Benefits of Accurate Location Records on Site
When LRTK allows construction photos to be recorded with accurate location information, various positive effects appear in site record management and work efficiency. The main benefits are summarized below.
• Prevention of recording errors: Mistakes in location assignment or transcription are eliminated, and the correspondence between photos and site locations can be securely understood. This reduces the risk of confusing which photo belongs to which area, even on sites with multiple construction zones.
• Streamlined reporting and organization: With coordinates automatically attached to photos, post-shooting organization work is greatly simplified. There is no need to manually cross-check photos with drawings or add explanatory notes, shortening report preparation time. Because location data is standardized, daily reports and inspection reports can be automatically generated in the cloud, reducing administrative workload.


