
GITNUXSOFTWARE ADVICE
Science ResearchTop 10 Best Contour Mapping Software of 2026
Top 10 contour mapping software ranked with criteria and tradeoffs for GIS analysts, featuring tools like GRASS GIS and AutoCAD Map 3D.
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Framework: Features 40% · Ease 30% · Value 30%
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GRASS GIS is the best choice for GIS analysts who need scripted, parameter-controlled contour generation from DEM rasters, while AutoCAD Map 3D fits better when survey data must turn into DWG-contour outputs with GIS layer governance for civil handoff.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
GRASS GIS
GRASS modules chain into a reproducible raster-to-vector contour pipeline for scripted terrain production.
Best for: Fits when GIS analysts need scripted contour generation from DEM rasters with controlled parameters.
AutoCAD Map 3D
Editor pickMap 3D ties contour outputs to DWG layer and attribute management so revisions stay traceable through edits.
Best for: Fits when survey data must become DWG contours with GIS layer governance for civil handoff.
Micromine
Editor pickMine-grade terrain processing workflow that couples surface generation and controlled contour deliverables in one environment.
Best for: Fits when survey teams need repeatable contour production and CAD or GIS handoffs for planning workflows.
Comparison Table
GRASS GIS
specialistOpen-source GIS suite with raster contour and terrain modules.
GRASS modules chain into a reproducible raster-to-vector contour pipeline for scripted terrain production.
GRASS GIS turns elevation rasters into contour vectors using dedicated tools that operate on GRASS raster datasets, which helps keep processing consistent across smoothing, interval spacing, and export steps. Interpolation workflows can be built from input point clouds or gridded surfaces using GRASS commands, then converted to derived products for survey review. Format coverage includes shapefile and GeoTIFF support for common handoff paths in civil engineering and GIS analysis.
A tradeoff is that GRASS GIS configuration and workflow design require more technical setup than contour tools centered on a single interactive wizard. It works best when recurring contouring jobs need repeatability, such as quarterly terrain updates where coordinate reference system handling and automated export of interval sets must stay consistent.
- +Module-driven contour workflow supports batch automation for repeat terrain runs
- +Raster processing stack supports smoothing and derived hillshade views for QA
- +Strong vector output options for contour editing and downstream GIS use
- +Large-format raster handling suits regional DEM processing
- –Steeper learning curve due to command-based workflow design
- –Interactive contour authoring is less direct than map-focused editors
- –QA and parameter tuning require domain knowledge to avoid artifacts
- –Some survey-adjacent formats need preprocessing before contour steps
GIS analyst teams
Batch contours from updated DEMs
Fewer manual contour edits
Civil engineering survey groups
Contour QA with hillshade views
Higher review confidence
Show 1 more scenario
Hydrographers and GIS technicians
Bathymetric contour extraction
Faster hydro map updates
Creates depth-contour vectors from gridded hydro surfaces for map production.
Best for: Fits when GIS analysts need scripted contour generation from DEM rasters with controlled parameters.
AutoCAD Map 3D
enterpriseCAD-integrated GIS with surface modeling and contour generation.
Map 3D ties contour outputs to DWG layer and attribute management so revisions stay traceable through edits.
AutoCAD Map 3D is built around CAD-dominant data management, so contouring outputs can be edited as CAD features without leaving the DWG-centric environment. It supports spatial data import and geospatial operations that help maintain coordinate reference system consistency when multiple survey sources are involved. The contouring workflow fits teams that need interval control, smoothing options, and repeatable contour production for site or corridor models.
The main tradeoff is that contour analysis depth for advanced interpolation methods can feel thinner than specialized GIS and survey software, especially for workflows that rely on kriging or heavy variogram modeling. AutoCAD Map 3D works well when survey data must be turned into CAD deliverables quickly and when layer governance matters for edits, QA, and handoff to civil design teams.
- +DWG-native contour editing keeps design and survey revisions in one file
- +GIS layer workflow supports attribute retention during contour production
- +Export options support transfer to CAD and GIS contour review pipelines
- +Spatial querying supports validation before contour interval finalization
- –Advanced interpolation tooling is less comprehensive than specialist platforms
- –Workflow setup takes more time than GIS tools focused on raster-to-vector only
Civil engineering teams
Produce site topographic contours
Faster plan-sheet revisions
GIS analysts
Overlay contours with GIS layers
Cleaner QA and handoff
Show 2 more scenarios
Survey teams
Validate terrain before design
Reduced rework cycles
Uses spatial filtering to check coverage and anomalies before finalizing contour outputs.
Infrastructure project controls
Standardize contour layer outputs
More consistent deliverables
Applies consistent layer structure so recurring contour sets match project deliverable expectations.
Best for: Fits when survey data must become DWG contours with GIS layer governance for civil handoff.
Micromine
enterpriseMining and exploration software with contouring and terrain visualization.
Mine-grade terrain processing workflow that couples surface generation and controlled contour deliverables in one environment.
Micromine provides a workflow for turning survey and point data into gridded surfaces and contours, then iterating on those surfaces through built-in terrain operations. It supports hillshade rendering and interval spacing controls for consistent contour production across projects. Coordinate reference system handling is integral to the modeling pipeline, which matters when datasets mix local survey systems and standardized datums. The product is frequently used where survey outputs must feed planning tasks such as mine design review and volume-oriented analysis.
A key tradeoff is that Micromine’s strengths center on survey and mine planning workflows, so teams that want deep GIS cartography features may end up exporting and handling styling outside the tool. The best usage situation is a repeated monthly or weekly processing cadence where survey imports, surface generation, and contour production must run with consistent settings and produce deliverables for other engineering systems. For one-off exploratory mapping, the workflow overhead can outweigh the benefit of tighter terrain processing controls.
- +Survey-to-surface workflow keeps contour settings consistent across iterations
- +Hillshade rendering and interval spacing controls support repeatable map outputs
- +CAD and GIS export options reduce handoff friction to downstream tools
- +Terrain editing and surface processing align with mine planning needs
- –GIS-focused cartography and styling depth may require external tools
- –Complex projects need careful configuration to keep CRSs consistent
- –Automation and API integration is not as flexible as general GIS ecosystems
Mining survey teams
Monthly survey-to-contour production
Faster review cycle for planners
GIS analyst working with CAD
Contour export to design surfaces
Less rework between teams
Show 1 more scenario
Hydrographer on terrain updates
Bathymetric surface revision for planning
Clear changes between campaigns
Updates gridded terrain and produces contour outputs for comparison across survey campaigns.
Best for: Fits when survey teams need repeatable contour production and CAD or GIS handoffs for planning workflows.
Leica Infinity
enterpriseSurvey office software for combining field measurements, point clouds, surfaces, and contour drawings.
Managed project workflow that keeps survey import, surface generation, and contour export under one controlled configuration path.
Leica Infinity focuses contour mapping work around Leica survey and geospatial workflows rather than generic mesh modeling. Core capabilities include importing survey observations, generating gridded surfaces, and producing contour output in CAD and GIS-friendly formats.
It also supports inspection steps such as vertical datum handling and surface visualization modes used to validate interpolation behavior. Automation support is strongest when used inside Infinity’s managed project workflow for repeatable survey-to-contour production.
- +Strong fit for Leica survey observations to contour generation in one workflow
- +Contour export formats cover common CAD and GIS handoff paths
- +Surface inspection tools make it practical to validate interpolation results
- +Repeatable project configuration supports consistent survey processing
- –Automation outside the Infinity project workflow is limited
- –Less flexible for non-Leica survey pipelines that already use custom gridding steps
- –TIN and breakline controls are not as fine-grained as specialized modeling tools
- –Large batch contour runs can feel configuration-heavy for standardization
Best for: Fits when teams need survey-to-contours output tightly aligned to Leica field data workflows.
ArcGIS Pro
enterpriseDesktop GIS software that generates contour lines from elevation rasters and terrain surfaces.
ArcGIS Pro geoprocessing and Python automation enable repeatable contour pipelines across many survey datasets.
ArcGIS Pro turns survey and GIS data into contour products inside a project-based geodatabase workflow. It supports gridded surface creation with multiple interpolation paths, then drives contour generation with controlled labeling and interval spacing.
Advanced cartography tools like hillshade rendering help validate surface behavior, while ArcGIS’s data management keeps contours tied to the same coordinate reference system used upstream. Extensibility via Python and the ArcGIS geoprocessing framework supports repeatable contour production runs across datasets.
- +Geoprocessing workflows keep contours linked to the same geodatabase data.
- +Python automation can batch interpolation and contour generation across many AOIs.
- +Cartographic layers support consistent labeling and hillshade QA for surfaces.
- +Coordinate reference system handling stays consistent through the analysis chain.
- –Contour styling and labeling control can feel grid-based rather than CAD-like.
- –Some specialized contour export formats need conversion steps outside core tools.
Best for: Fits when GIS analysts need automated contour production tied to a maintained geodatabase.
12d Model
vertical specialistCivil and surveying software for terrain modeling, contour plans, and earthwork analysis.
Single surface workflow that links breakline-controlled triangulation to interval contours and cross-sections.
12d Model focuses on survey-to-contour workflows with a TIN and grid production pipeline built for civil engineering and earthworks, not just cartographic rendering. It supports topographic survey import, breaklines handling, and iterative surface refinement before exporting contours to common exchange formats like DXF and shapefile.
The tool also supports contour-driven deliverables such as cross-sections, interval control, and surface-based calculations used in earthmoving analysis. Compared with general GIS editors, 12d Model keeps more of the surface modeling and contour production process inside one workflow from survey data to deliverables.
- +Survey to contour workflow stays inside one surface model workspace
- +Breaklines and interval control support consistent deliverable production
- +Cross-section generation and earthworks-style analysis tie to the same surfaces
- +Export options include DXF contours and shapefile outputs for downstream GIS use
- –Fidelity depends on disciplined input preparation and surface refinement cycles
- –Automation and API surface are not as direct as toolchains built around public SDKs
Best for: Fits when survey teams need repeatable surface modeling and contour outputs for civil and earthworks deliverables.
Civil Site Design
SMBCivil design software for surfaces, grading, road corridors, contours, and earthwork calculations.
Civil Site Design ties contour generation and earthwork-style outputs to a single continuous surface workflow.
Civil Site Design focuses on civil-earthworks and contour deliverables inside a survey-style workflow rather than general GIS editing. The tool supports generating contours, exporting design-ready outputs, and producing earthwork-style calculations that stay tied to the source surface.
It also targets practical import-export loops for civil teams that need repeatable surface updates from field or CAD sources. Interoperability is centered on common contour and surface exchange formats used in survey and site design projects.
- +Workflow-first surface editing geared toward site design outputs
- +Repeatable contour production designed for ongoing design iterations
- +Export formats support downstream CAD and document workflows
- +Earthwork-style calculations remain connected to the surface build
- –Shapefile and raster workflows are less flexible than GIS specialists
- –Advanced geostatistics and modeling depth are limited versus research tools
Best for: Fits when civil teams need fast contour and earthwork outputs with CAD-friendly exports.
Agisoft Metashape
vertical specialistPhotogrammetry software that creates digital elevation models, orthomosaics, and contour exports.
Dense reconstruction from imagery with configurable meshing and surface generation that feeds contour production from a 3D build stage.
Agisoft Metashape focuses on photogrammetry-to-surface workflows that convert image or point cloud inputs into gridded products for contour mapping. It produces a dense reconstruction with configurable meshing and texturing steps, then exports derived surfaces for downstream contouring and GIS use.
Strong automation comes from repeatable processing pipelines and scripting support around batch reconstruction, alignment, and export. The main distinction versus traditional contour mappers is that Metashape starts from imagery or point clouds and manages the geometry buildout before contour generation.
- +Photogrammetry pipeline generates surfaces from images and point clouds for contour-ready outputs
- +Scripting and batch processing support repeatable reconstruction and export runs
- +High-resolution mesh and surface generation enables fine interval spacing control
- +Export options include common GIS formats for contour and raster workflows
- –Workflow complexity is higher than pure interpolation tools for small datasets
- –Contour outputs are not as direct as GIS-native cartography tools like ArcGIS Pro
- –Quality depends on image coverage and ground control choices during reconstruction
- –Large reconstructions can strain workstation throughput without careful tuning
Best for: Fits when survey teams need photogrammetry-derived surfaces turned into contour-ready GIS layers.
SAGA GIS
open-source GISOpen-source desktop GIS for digital terrain analysis, elevation modeling, and contour extraction.
Tool-chain based contour production with tight parameter control across raster interpolation, smoothing, and contour interval settings.
SAGA GIS generates contour maps from gridded terrain surfaces using a large catalog of geoprocessing tools. It is distinct for driving workflows through tool chains inside its desktop GIS, including raster analysis, surface interpolation, and contour export.
The system supports common survey and GIS interchange formats like GeoTIFF and shapefile output, with DXF contour export for CAD handoff. Expect contour-quality control through configurable interpolation and smoothing steps rather than a single guided contouring wizard.
- +Large built-in geoprocessing set for surface generation and contouring
- +Configurable terrain smoothing and interval logic via tool parameters
- +GeoTIFF raster handling and shapefile export for downstream GIS use
- +DXF contour export supports direct CAD exchange workflows
- –Workflow setup requires choosing and ordering multiple tools manually
- –Automation and API access is limited compared with script-first GIS stacks
- –Some survey-grade tasks take expertise in preprocessing and parameterization
- –UI density slows review-and-tweak iterations for nonstandard datasets
Best for: Fits when GIS analysts need configurable, desktop-driven surface and contour workflows without heavy scripting.
DroneDeploy
SMBCloud mapping software for producing topographic maps, elevation models, and contour visualizations.
End-to-end drone capture to processed terrain outputs with built-in review workflow for surveying teams.
DroneDeploy is a drone-first mapping workflow tool that generates terrain surfaces from flight captures and turns them into mapping deliverables. It focuses on photogrammetry outputs for field surveying teams, with a workflow built around capture, processing, and review rather than manual GIS surface construction.
Contour mapping is supported through exports and surface products that can feed GIS and CAD work where contour lines, rasters, and derived deliverables are needed. Admin controls and auditability are best evaluated against team provisioning needs because DroneDeploy’s core strengths center on end-to-end field-to-surface processing.
- +Field-to-surface workflow reduces handoffs between capture and mapping review
- +Export formats support downstream contouring in GIS and CAD pipelines
- +Processing workflow is geared toward consistent outputs across flight campaigns
- +Good collaboration flow for stakeholders reviewing captured surfaces
- –Contour quality control like kriging options is limited versus GIS interpolation tools
- –Advanced surface editing and breakline-driven conditioning are not its primary workflow
- –Less suited to repeatable batch contour production from existing datasets
- –Governance features may not meet survey department RBAC and audit log expectations
Best for: Fits when field survey teams need fast photogrammetry surface outputs and GIS-ready deliverables without deep surface modeling.
Conclusion
After evaluating 10 contour mapping software, GRASS GIS stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Contour Mapping Software
Contour mapping software turns elevation inputs like DEM rasters, survey points, or photogrammetry surfaces into contour lines and derived map layers for survey and civil workflows. This guide covers GRASS GIS, AutoCAD Map 3D, ArcGIS Pro, QGIS, Surfer, GRASS GIS, and AutoCAD Map 3D, with additional entries including Micromine, Leica Infinity, 12d Model, Civil Site Design, Agisoft Metashape, SAGA GIS, and DroneDeploy.
The standout differences show up in how contour generation is controlled and repeated across projects. GRASS GIS emphasizes module chains for raster-to-vector contour production, while ArcGIS Pro emphasizes geoprocessing and Python automation tied to a geodatabase.
Contour Mapping Software for producing repeatable TIN, DEM, and raster-derived contours
Contour mapping software generates contour lines from gridded elevation surfaces, triangulated models, or photogrammetry-derived meshes using interval logic, smoothing, and export workflows that fit GIS, CAD, and survey handoffs. GRASS GIS leans on a module-driven pipeline that supports batch runs and scripted contour production from DEM rasters.
AutoCAD Map 3D focuses on keeping contour outputs attached to DWG layer and attribute management so revisions remain traceable through edits. ArcGIS Pro ties contour pipelines to geoprocessing and Python automation so contours can be regenerated across many areas of interest while remaining linked to a maintained geodatabase.
Repeatable contour pipelines, integration depth, and export governance
Contour mapping software earns its place when elevation inputs can be converted into contour lines with repeatable interval logic and consistent surface conditioning across multiple projects.
The same project usually needs automation for batch runs, export formats for GIS and CAD handoffs, and governance controls that keep edits traceable from source terrain to contour deliverables.
Scriptable contour generation from rasters and surfaces
GRASS GIS uses module chaining that produces scripted raster-to-vector contour pipelines from DEM rasters with controlled parameters. SAGA GIS provides a tool-chain approach where terrain interpolation, smoothing, and contour interval settings are configured across multiple steps.
Workflow linkage from source data to contour outputs
ArcGIS Pro keeps contour pipelines tied to a maintained geodatabase through geoprocessing workflows. AutoCAD Map 3D ties contour outputs to DWG layer and attribute management so revisions stay traceable through edits.
Surface modeling choices that control deliverable consistency
12d Model links breakline-controlled triangulation to interval contours and cross-sections inside a single surface workflow. Civil Site Design ties contour generation and earthwork-style outputs to a continuous surface workflow built for ongoing site design iterations.
Survey-focused repeatability with controlled export paths
Leica Infinity runs survey import, surface generation, and contour export under one managed project workflow aligned to Leica field data. Micromine couples surface generation and controlled contour deliverables inside a mine-grade terrain processing workflow for repeatable CAD or GIS handoffs.
Photogrammetry-to-contour surface production and batch runs
Agisoft Metashape builds dense reconstruction from imagery with configurable meshing and surface generation, then supports contour-ready outputs from the 3D build stage. DroneDeploy provides an end-to-end drone capture to processed terrain workflow with GIS-ready deliverables exported for downstream contouring.
Choose by workflow control level, automation needs, and handoff format requirements
The selection hinges on where contour parameters live and how repeatable outcomes are produced. Some tools emphasize scripted module pipelines, while others emphasize managed project workflows and maintained datasets.
The second axis is handoff format discipline. CAD revisions, GIS labeling, and export conversion steps change significantly across ArcGIS Pro, AutoCAD Map 3D, and GIS-native stacks.
Pick the pipeline style that matches how teams repeat work
If contour production must be run repeatedly from DEM rasters with controlled parameters, GRASS GIS is built for module-driven batch automation. If contour and surface processing must be assembled through configurable desktop tool parameters without heavy scripting, SAGA GIS supports manual tool ordering with consistent interval logic.
Decide what must stay connected during edits and revisions
If revisions must stay traceable through DWG edits, AutoCAD Map 3D attaches contour outputs to DWG layer and attribute management. If regeneration must stay tied to a maintained geodatabase, ArcGIS Pro uses geoprocessing workflows so contours remain linked to the same dataset.
Match surface modeling depth to the deliverable set
If breaklines and interval contours must be produced within one surface model workspace that also supports cross-sections, 12d Model keeps surface modeling and contour outputs in the same workflow. If site design iterations demand fast contour and earthwork-style outputs with CAD-friendly exports, Civil Site Design uses a workflow-first continuous surface model.
Route survey capture through a managed project workflow when source alignment matters
If the team needs survey import and contour export to stay aligned to Leica field data, Leica Infinity keeps the workflow inside a controlled project configuration path. If the team needs mine-grade surface generation paired with repeatable contour deliverables for planning handoffs, Micromine couples surface generation and contour settings in one environment.
Select photogrammetry-first tools only when the surface must originate from imagery or captures
If elevation inputs come from images and the workflow must include dense reconstruction and configurable meshing before contour-ready outputs, Agisoft Metashape supports scripting and batch processing for reconstruction and export runs. If field capture must lead directly to processed terrain with built-in review workflow for surveying teams, DroneDeploy reduces handoffs by pairing capture and terrain outputs in one sequence.
Which teams Contour Mapping Software fits best
Different tools map to different operational realities, such as repeated batch runs, DWG-centric civil handoffs, or capture-to-surface workflows for surveying teams.
The right choice depends on whether contour generation is driven by raster-to-vector scripting, geoprocessing tied to maintained datasets, or managed surface modeling tied to survey sources.
GIS analysts running batch terrain production from DEM rasters
GRASS GIS provides module-driven contour workflow design that supports batch automation and scripted contour generation. SAGA GIS offers desktop-driven configurability through tool parameters when manual control across interpolation, smoothing, and interval logic is preferred.
Civil and CAD teams managing DWG-centric revision workflows
AutoCAD Map 3D keeps contour outputs attached to DWG layer and attribute management so design and survey revisions stay traceable through edits. Civil Site Design produces earthwork-style outputs with CAD-friendly exports designed for ongoing design iterations.
Survey and geodetic teams that need survey-to-contours consistency
Leica Infinity keeps survey import, surface generation, and contour export under one managed project workflow aligned to Leica field data. Micromine maintains consistent contour settings across iterations through a survey-to-surface workflow that controls deliverable outputs.
Earthworks and infrastructure teams producing surfaces with breakline control and cross-sections
12d Model keeps breakline-controlled triangulation, interval contour production, and cross-section generation in one surface model workspace for repeatable civil deliverables.
Survey teams starting from images or drone captures
Agisoft Metashape turns photogrammetry inputs into contour-ready outputs after configurable reconstruction and export runs. DroneDeploy provides field-to-surface processing with exports that feed downstream contouring in GIS and CAD pipelines.
Common contour mapping buying and implementation pitfalls
Teams often misjudge where the contour parameters live, which changes how repeatable results are produced when inputs vary across AOIs.
Other failures come from assuming export formats require the same editing semantics across GIS and CAD, which leads to extra conversion steps and inconsistent attribute handling during handoffs.
Treating contour styling and labeling as equal across GIS and CAD workflows
ArcGIS Pro geoprocessing pipelines can feel grid-based for styling and labeling compared with CAD-like editors. AutoCAD Map 3D improves traceability by keeping contours inside DWG layer and attribute management, but advanced interpolation tooling is less comprehensive than specialist platforms.
Choosing a raster-to-vector scripting workflow but underestimating the learning curve
GRASS GIS relies on command-based module chaining that increases learning curve for teams expecting direct interactive contour authoring. SAGA GIS requires selecting and ordering multiple tools manually to build the contour workflow.
Planning to use breaklines and interval controls without disciplined input preparation
12d Model fidelity depends on disciplined input preparation and surface refinement cycles even though it keeps breaklines and contour interval control inside one workspace. Civil Site Design supports repeatable contour production for design iterations, but shapefile and raster workflows are less flexible than GIS specialists.
Using photogrammetry tools when the surface needs GIS-native cartography workflows
Agisoft Metashape adds workflow complexity for smaller datasets and its contour outputs are not as direct as GIS-native cartography tools like ArcGIS Pro. DroneDeploy prioritizes field-to-surface processing and limits contour quality control like kriging options compared with GIS interpolation tools.
How We Selected and Ranked These Tools
We evaluated GRASS GIS, AutoCAD Map 3D, ArcGIS Pro, Micromine, Leica Infinity, 12d Model, Civil Site Design, Agisoft Metashape, SAGA GIS, and DroneDeploy across contour control repeatability, automation and integration surfaces, and export-governance behavior. Features received 40% of the score because contour workflows must support interval control, surface conditioning, and repeatable output generation.
Ease and value received 30% each because teams need practical throughput once data varies across projects. GRASS GIS earned the top position because module-driven raster-to-vector contour pipelines support scripted batch automation and reproducible terrain production from DEM rasters with controlled parameters.
Frequently Asked Questions About Contour Mapping Software
How do GRASS GIS and ArcGIS Pro differ for automated contour production from DEM rasters?
Which tool fits a DWG-first workflow where contours must stay aligned with CAD layer governance?
When a workflow requires breakline-controlled surfaces, which software keeps that surface logic tied to contour output?
What breaks if contour interval control and labeling must remain consistent across repeated runs?
How do SAGA GIS and QGIS-style tool chains compare for contour parameter control versus guided steps?
Which tool is best when the input starts as imagery or a lidar point cloud rather than a prebuilt DEM?
How does data migration typically work when moving contour products between GIS and CAD formats?
What integration and API capabilities matter when contour production must run via automation rather than manual UI steps?
How do admin controls and audit logging expectations differ across GIS analysts and field survey teams?
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