EasyMap Archives

21 July 2026

RecoStaR: Everything You Need to Know to Comply with Enedis Requirements

What Is RecoStaR? For several years, Enedis has been continuously strengthening its requirements for as-built documentation to improve the accuracy of its electrical network records, reduce the risk of damage to underground infrastructure and streamline integration into Geographic Information Systems (GIS). Following the implementation of France’s DT/DICT regulations, introduced as part of the European “damage prevention” framework, and as a result of a collaborative initiative led by Enedis, network owners and operators are required to provide reliable georeferenced positioning of their infrastructure by 2027. RecoStaR, an implementation of the national StaR-Elec geostandard, defines the structure of vector data used for electrical utility as-built documentation and is gradually replacing the PGOC (Georeferenced Plan of Constructed Assets). It includes: High-accuracy, standardized Class A geometries A structured data model based on utility assets (cables, cabinets, ducts, etc.) Enriched attributes (accuracy, depth, topology) Connectivity validation Direct integration into Enedis’ GIS For contractors and surveyors, this represents a significant change in working practices. Syslor enables you to meet these requirements today through a reliable, end-to-end production workflow with no manual data re-entry. To better understand this common framework and its impact on utility network management, we have explored these topics in detail in our dedicated article on the StaR-DT and RecoStaR standards. The objective: deliver complete, reliable and interoperable as-built documentation that can be immediately integrated into the information systems used by Enedis and local electricity distribution authorities. Why Is RecoStaR Becoming Essential? The legacy PGOC format no longer meets today’s requirements. Heterogeneous datasets, limited attribute information, complex validation procedures, frequent manual data re-entry and inefficient GIS integration have highlighted the need for a more robust standard. RecoStaR addresses these limitations by providing: Higher data quality: every asset is described consistently using the shared StaR-Elec data model. Greater completeness: mandatory attributes reduce missing information and help prevent delays during project validation. Faster GIS integration: standardized, structured datasets can be imported more efficiently into Enedis’ GIS. Enedis has announced the progressive rollout of the RecoStaR format from 2025–2026, with the gradual replacement of PGOC for new projects. For contractors, engineering firms and surveyors, this represents a significant change in working practices—but also an opportunity to improve productivity while delivering higher-value as-built documentation. To support this transition, Enedis is progressively making its technical documentation and reference materials available, helping service providers adopt standardized formats such as RecoStaR. PGOC vs. RecoStaR: What’s Changing? Key Differences Between PGOC and RecoStaR Criteria PGOC RecoStaR Data Type Basic vector data Structured vector data with asset attributes Connectivity Not systematically documented Connectivity modeling and validation Topology Validation Limited Automated standards-based validation Structure Limited standardization National StaR-Elec Geospatial Standard GIS Integration Often manual Simplified and automatable integration Validation High risk of rejection More standardized validation process Format DGN, CSV and PDF GML format for augmented reality visualization These changes require greater data discipline but significantly improve the reliability of utility network data while helping reduce the risk of damage to infrastructure. Who Needs to Comply with RecoStaR? RecoStaR directly impacts: Electrical utility contractors Engineering and design consultancies Licensed surveyors As-built surveying service providers Electricity distribution companies and local electricity authorities GIS and surveying software vendors Any organization producing georeferenced as-built plans for Enedis will need to be able to deliver files that comply with the RecoStaR format for applicable projects. Key Technical Requirements of RecoStaR RecoStaR introduces several key technical requirements, including: Accurate survey points that comply with coordinate system and accuracy class requirements. A data structure compliant with the StaR-Elec / Enedis data model, including asset types, dimensions, topological relationships and mandatory attributes. Complete connectivity between assets to accurately represent the structure of the utility network. Compliance validation of deliverables using dedicated tools such as Aloé, provided by Enedis to verify files before they are integrated into its GIS. These technical requirements make it essential to use software that natively supports the RecoStaR data model and its associated business rules. How to Generate RecoStaR Deliverables Easily with Syslor This is where Syslor delivers a clear competitive advantage for contractors and utility service providers by offering a continuous digital workflow from field data capture through to RecoStaR export. Georeferenced Photogrammetric Data Capture with EasyScan Using georeferenced video capture of underground utility networks, EasyScan enables field operators to create the imagery required to generate an accurate 3D model that serves as the foundation for as-built documentation. As-Built Plan Production with EasyMap EasyMap, Syslor’s vectorization platform, natively integrates the RecoStaR data model, built-in business rules (including connectivity and mandatory attributes) and pre-export validation to help ensure data quality before export. Native RecoStaR Export EasyMap generates RecoStaR-compliant files directly, ready for validation with Enedis tools such as Aloé, without manual data re-entry or format conversions. 2D, 3D and Augmented Reality Visualization By exporting the as-built plan in GML format from EasyMap, utility networks can be visualized, verified and compared directly against field conditions in augmented reality using EasyView, Syslor’s augmented reality application. This provides an additional level of quality control and helps secure field operations before project delivery. This end-to-end workflow reduces revision requests, accelerates project validation, ensures compliance with the RecoStaR standard and enables more reliable verification as well as more accurate future staking-out of underground utility networks. Preparing Now for Enedis’ RecoStaR Requirements The rollout of the RecoStaR format marks a major milestone for everyone involved in electrical utility networks. By replacing PGOC with a more structured, comprehensive and fully interoperable standard, Enedis is driving the industry toward greater data reliability, transparency and operational efficiency—while helping reduce the risk of damage to underground infrastructure during construction and maintenance work. For contractors, engineering consultancies and surveyors, this transition may appear demanding, but it also represents a strategic opportunity: to modernize production workflows, improve project quality and significantly reduce revision requests caused by non-compliant deliverables. With an integrated workflow combining EasyScan for field data capture, EasyMap for vectorization and native RecoStaR export, and EasyView for 2D, 3D and augmented reality visualization, Syslor enables organizations to embrace these new requirements with confidence. You can already produce

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13 November 2025

How Merging Orthophotos and Point Clouds Enhances Project Accuracy

On construction sites, each photogrammetric survey generates its own dataset — an orthophoto, a point cloud, sometimes dozens of separate files to manage. Over time, these fragmented deliverables become difficult to work with. Misaligned joins, overlapping zones, or missing areas can compromise the overall topographic consistency of the project. For surveyors, engineering offices, and project managers, the issue is often the same: getting a comprehensive and accurate view of the site requires time-consuming manual work, which increases the risk of errors. This is exactly the challenge addressed by the merging of orthophotos and point clouds.By bringing all survey data together into a single, unified, georeferenced model, this process delivers a continuous, coherent, and readily exploitable view of the project. Beyond improving readability, accuracy, and efficiency across the entire production chain, it also saves a significant amount of time for survey teams when preparing their deliverables. To better understand its advantages, let’s start by defining what the merging of orthophotos and point clouds actually is. What Does Merging Involve? Merging consists of combining several separate orthophotos or point clouds into a single, unified, and consistent view, while preserving the original centimetric accuracy and georeferencing.Each area captured during the photogrammetric survey is repositioned within the same coordinate system to create a continuous mosaic of the project. The merging process relies on rigorous management of metadata and spatial coordinates. This ensures that all datasets align perfectly — without offset, elevation gaps, or quality loss. The result is a unified model that faithfully represents the entire site, enabling consistent and accurate measurements across the whole area. With this merging process in place, it becomes possible to visualize, measure, and vectorize an entire project from a single unified dataset, regardless of the project’s size or complexity. Now that the concept of merging is clear, let’s look at how it concretely improves the production and use of photogrammetric deliverables. Why Merge Your Photogrammetric Deliverables? Merging is not just a simple file combination — it’s a key step that allows teams to fully leverage the richness of photogrammetric data while ensuring the consistency of all deliverables.Here are the main advantages it brings, both in the field and in the office. Gain a Global View of the Project and In-Situ Context Merging provides a comprehensive view of the construction site, restoring the entire area within a single, continuous representation.It makes it possible to place each work zone within its broader environment — a valuable advantage for large-scale sites or linear projects such as roads, utilities, or railway corridors. This unified view helps teams understand how different areas interact, for example between the construction footprint, the surrounding environment, and existing underground or above-ground networks. Improve Vectorization Accuracy and Spatial Consistency By merging several orthophotos or point clouds within the same reference system, merging eliminates alignment errors between deliverables.It ensures a homogeneous topographic continuity, which is essential for: the precise vectorization of utility networks, the production of reliable as-built plans, and volume or surface calculations. Each measurement is therefore based on a coherent, georeferenced dataset, with no risk of misalignment between areas. Simplify the Use of Your Deliverables Through Centralized Data With merging, there’s no need to juggle multiple files anymore.Orthophotos and point clouds are grouped into a single unified view, speeding up processing and reducing the risk of errors during plan production or verification. This approach also simplifies importing deliverables into standard GIS or CAD software (DGN, DXF, CSV): a single, complete, georeferenced file, immediately ready for use by all project stakeholders. Enhance Collaborative Work By providing a single, consistent source of truth, merging makes collaborative work much easier.Everyone works from the same reference dataset, improving both validation and quality control of deliverables throughout the entire project lifecycle. Looking Ahead: Tracking Project Progress Over Time In the long term, merging opens the door to new possibilities: tracking the evolution of a construction site over time, overlaying successive surveys (before and after works), and building a true digital twin of the project. This approach will make it possible to accurately analyze site transformations — from earthworks to network installation — and to ensure complete traceability of all operations. How Syslor Facilitates the Merging of Orthophotos and Point Clouds The merging of orthophotos and point clouds truly reveals its value when it’s part of a seamless workflow — from data capture in the field to data processing and analysis. This is exactly what Syslor offers through two complementary solutions: EasyScan for photogrammetric surveying, and EasyMap for the visualization and processing of deliverables. EasyScan – Accurate and Standardized Photogrammetric Capture Everything starts in the field with EasyScan, the solution designed to perform georeferenced photogrammetric surveys. Each survey performed with the EasyScan application ensures centimetric accuracy and structured, standardized data.As a result, right from the survey phase: orthophotos and point clouds are perfectly aligned within the same reference system; deliverables are immediately available in EasyMap for further processing and analysis. EasyMap – Merging and Centralized Management of Deliverables Once the surveys are completed, EasyMap (formerly Sysmap) takes over. The tool, available directly through the Syslor web portal, assembles orthophotos and point clouds from different photogrammetric surveys to generate a unified overview of the entire project. The user then gains access to a comprehensive environment to: visualize the construction site as a whole, vectorize networks on a consistent base, perform measurements and volume calculations without discontinuities, and export reliable as-built plans with full confidence. This automation ensures a smooth, continuous production workflow, from field survey to final deliverable delivery. Ready-to-Use and Interoperable Deliverables Thanks to the complementarity between EasyScan and EasyMap, all data is aligned, merged, and immediately usable across any working environment — CAD, GIS, or collaborative platforms.The result: greater accuracy, less post-processing, and improved traceability throughout the entire project lifecycle. Want to learn more? Request a demo. A Unified Vision for More Accurate and Actionable Deliverables The merging of orthophotos and point clouds is not just a technical step — it’s a key requirement for ensuring the reliability and readability of

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9 October 2025

Customized Attribute Libraries, 3D Editing, and Model Concatenation: What’s New at Syslor?

Syslor is enhancing its EasyMap platform with three new features that make daily operations even smoother for field and design teams. EasyMap is the drawing and tracing tool accessible directly from the Syslor portal, used by EasyScan users to edit orthophotos and point clouds generated from photogrammetric surveys. It enables users to transform survey data into usable plans, control altimetry, and monitor project progress. The new features focus on three key aspects: Customizable vectorization, The move from 2.5D to full 3D, Model concatenation for an overall project view. All these improvements share a common goal: simplify deliverable production, increase accuracy, and ensure better continuity between all project stakeholders. Customize Vectorization to Match Your Standards Attribute Libraries Tailored to Your Needs Every company applies its own mapping standards. EasyMap now includes customizable attribute libraries, grouping the necessary object families (electricity, water, heating, telecom, wastewater, etc.) in line with your internal practices. Ready-to-Use, Standards-Compliant Exports Generated plans automatically comply with your nomenclatures and export formats (DXF, DGN, etc.). No more manual adjustments — exports from EasyMap are structured, standardized, and complete, saving time and reducing the risk of error. Control and Edit in 3D While Keeping the Simplicity of 2.5D The Limits of 2.5D 2.5D remains widely used because it’s lightweight and easy to handle. However, it reaches its limits when verifying altimetry or working with overlapping networks. On the other hand, navigating within a 3D view allows for continuous control, but it is less intuitive and straightforward due to the complexity of three dimensions. Dual View for Greater Precision EasyMap now offers a dual view: a classic 2.5D view on the orthophoto to maintain the simplicity of tracing, a 3D view of the point cloud to verify altimetric consistency and interact directly with objects. Thanks to this combination, it is now possible to: draw networks on the orthophoto while simultaneously checking the accuracy and diameters within the point cloud, edit in 3D, allowing users to trace networks or modify a point directly in the point cloud and instantly visualize the impact on the orthophoto. This interaction between the point cloud and the orthophoto greatly enhances the accuracy of as-built documentation. Concatenate Models for a Complete Project Overview Global Project Management and Tracking Model concatenation automatically groups multiple photogrammetric surveys into coherent zones. This provides not only a macro view of the project but also continuous monitoring of its progress. This global approach facilitates project management, team coordination, and the progressive updating of data throughout the project. Global statistics (lengths, network types, progress rates) offer a clear and centralized overview. The choice of the background map allows for better contextualization of the project. Continuity and Unified Export Overlapping areas are automatically flagged as attention points. A dedicated process ensures topological continuity between models, reducing connection errors and ensuring smooth, uninterrupted tracing. The entire project can then be exported as a single, consistent file in all standard industry formats. Result: a single, fast, and consistent export, directly usable in standard industry formats (CSV, DXF, DGN, etc.), with no manual post-processing required. A Step Toward Greater Automation These new features already simplify users’ daily workflows by reducing manual corrections and improving coordination. They also mark the next step in Syslor’s broader roadmap: 3D tracing, AI-assisted drawing, and georeferenced annotations will soon further enrich the EasyMap experience.

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1 May 2025

How to process and exploit point clouds effectively?

Photogrammetry has become an essential technique for documenting and analyzing construction sites, particularly in the context of as-built surveys of underground networks.It enables the production of georeferenced deliverables in various forms, such as point clouds, orthophotos, digital terrain models (DTMs), or even 3D meshes. Photogrammetric deliverables can be difficult to leverage due to the complexity of the data and the analyses required.Fortunately, some software tools—such as EASYMAP®—accessible through our web portal, greatly simplify this process, making these deliverables far more accessible to non-expert users. Let’s explore the practical applications of data collected using as-built tools like EasyScan®. Solutions for leveraging data collected through as-built surveys Vector mapping of utility networks Combining orthophotography with a digital terrain model (DTM) enables vertical projection, making it easy, fast, and accurate to vectorize the upper generatrices in 3D. This vectorization can be exported in various formats, allowing it to be used and integrated into Geographic Information Systems (GIS) or Computer-Aided Design (CAD) software, ensuring smooth interoperability between all project stakeholders. Example of upper generatrix tracing of an electrical network using Sysmap Handling longitudinal and cross-sectional profiles This vectorization comes with the ability to generate longitudinal and cross-sectional profiles, enabling continuous control of the tracing process. This ensures tracing reliability that meets the accuracy requirements of Class A. Profiles based on an electrical duct Longitudinal profile Cross-sectional profile Profiles produced with Sysmap Area measurement and cut/fill volume computation The drawing interface allows users to measure the surface areas of intervention zones, making it possible to directly assess excavated areas and optimize land use.This surface also serves as the basis for precise volumetric measurements.The Sysmap solution helps optimize earthwork costs by providing accurate resource estimates and ensuring project compliance. Area and volume computations using Sysmap Depth measurement of utility networks During network as-built surveys, photogrammetric deliverables make it possible to determine the depth of vectorized vertices from a reference surface — a crucial element for: Ensuring compliance with safety and utility location standards; Improving the quality of as-built plans by providing accurate data on pipeline burial depths. Detection of unusual depth values using Sysmap Photogrammetric deliverables go far beyond simple visualization: they enable the extraction of numerous precise measurements—vectorization, surface area, volume, depth—making them true decision-support tools for site managers and agency directors.They enhance as-built survey accuracy, optimize costs, and contribute to better management of underground infrastructure. With Sysmap—our tracing module designed to leverage photogrammetric deliverables—network tracing is performed with precision.This process ensures reliable, usable data that is essential for future projects: building asset records, reducing damage to infrastructure, saving time, and optimizing upcoming interventions. By combining high-quality surveys with dedicated tools like Sysmap, photogrammetric deliverables become true management assets—enabling more efficient and better-anticipated construction projects.

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