Applicable Software & Technology

Learning Objectives

After completing this topic, you should be able to:

• Identify the major software categories used in professional surveying
• Describe CAD software capabilities for survey drafting and design
• Explain GIS software applications in survey practice
• Understand GNSS processing software and its role in survey accuracy
• Describe data collector functionality and field computing capabilities
• Identify emerging technologies affecting the surveying profession
• Evaluate software tools appropriate for specific survey applications

Overview

Software and technology are integral to modern surveying practice. From data collection through final deliverables, virtually every step of the survey process involves specialized software. The professional surveyor must understand not only how to use these tools but their capabilities, limitations, and appropriate applications.

The PS exam does not test proficiency with specific software products. Rather, it tests understanding of software categories, their functions in the survey workflow, and the surveyor's ability to evaluate whether software-produced results are reasonable. Technology changes rapidly, but the principles governing its proper use remain constant: the surveyor is responsible for the results regardless of the tools used to produce them.

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Key Concepts

CAD Software

Computer-Aided Design (CAD) software is the primary tool for producing survey maps, plats, and construction plans. Survey-specific CAD platforms extend generic CAD with tools designed for surveying workflows.

Core CAD Capabilities for Surveying

Capability	Application
Point management	Import, display, edit, and label survey points with codes and attributes
Line work generation	Create boundary lines, topographic features, and utility lines from survey data
Annotation	Place dimensions, labels, bearings, distances, and curve data
Layer management	Organize different types of information on separate layers
Surface modeling	Create digital terrain models (TIN, grid) from survey points
Sheet layout	Compose final map sheets with title blocks, legends, and scales
Coordinate geometry	Perform COGO computations within the CAD environment
Template and standards	Enforce office standards for line types, text styles, symbols, and layers

Common Survey CAD Platforms

Platform	Description
Autodesk Civil 3D	Full civil engineering and survey design platform
Bentley MicroStation/OpenRoads	Infrastructure design with survey capabilities
Carlson Survey	Survey-focused CAD with COGO, data collection, and surface tools
Trimble Business Center	Integrated survey processing and CAD

CAD Best Practices

• Maintain consistent layer naming conventions across projects
• Use standard symbol libraries for monuments, utilities, and features
• Archive working files separately from final deliverables
• Verify mathematical accuracy of computed values (do not rely solely on graphical snapping)
• Coordinate CAD standards with the firm's data collection coding system

GIS Software

While CAD is oriented toward design and drafting, GIS excels at spatial analysis, data management, and integration of multiple data sources.

GIS Capabilities for Surveying

Capability	Survey Application
Spatial query	Find all parcels within a specified distance of a feature
Overlay analysis	Identify easements, zoning, or environmental constraints affecting a property
Geocoding	Convert addresses or legal descriptions to geographic coordinates
Network analysis	Model utility networks, road systems, and drainage patterns
Spatial statistics	Analyze patterns in survey data, assess control network distribution
Data integration	Combine survey data with aerial imagery, LiDAR, assessor records, and other sources
Web mapping	Share survey results through interactive online maps
Attribute management	Store and query detailed information about survey features

GIS Data Formats

Format	Type	Description
Shapefile (.shp)	Vector	Widely used but limited (field name length, file size)
File geodatabase (.gdb)	Vector/Raster	Esri native format, supports complex data models
GeoPackage (.gpkg)	Vector/Raster	Open standard, increasingly adopted
GeoJSON	Vector	Web-friendly, human-readable
GeoTIFF	Raster	Georeferenced imagery and elevation data
LAS/LAZ	Point cloud	LiDAR data storage
KML/KMZ	Vector	Google Earth format, useful for visualization

GNSS Processing Software

GNSS processing software converts raw satellite observations into accurate coordinates. It operates at two levels: real-time processing in the field and post-processing in the office.

Post-Processing Functions

Function	Description
Baseline processing	Computes precise vectors between receivers using carrier phase observations
Ambiguity resolution	Determines the integer number of carrier wavelengths in the observation
Network adjustment	Adjusts multiple baselines simultaneously for consistent coordinates
Atmospheric modeling	Estimates or removes ionospheric and tropospheric delays
Antenna calibration	Applies antenna phase center offset and variation models
Quality assessment	Reports residuals, RMS values, and solution statistics
Datum transformation	Converts between reference frames and coordinate systems

Post-Processing Workflow

The typical GNSS post-processing workflow:

1. Download raw observation data from receivers
2. Download base station data (CORS or local base)
3. Import observation data into processing software
4. Select processing parameters (elevation mask, tropospheric model, ephemeris type)
5. Process baselines between receiver pairs
6. Evaluate solution quality (ambiguity resolution success, RMS, residuals)
7. Reprocess problem baselines with adjusted parameters if needed
8. Adjust the network using least squares adjustment
9. Transform coordinates to the project datum and coordinate system
10. Export adjusted coordinates for use in CAD or GIS

Real-Time Processing

RTK and network RTK systems perform GNSS processing in the field:

Feature	Description
Differential correction	Applies base station corrections to rover observations in real time
Ambiguity resolution	Resolves integer ambiguities on the fly
Position output	Provides corrected coordinates at the rover in real time
Quality indicators	Reports fix type (float, fixed), number of satellites, PDOP
Coordinate system	Can output in project coordinate system (State Plane, UTM, local)

Data Collectors and Field Computing

Modern data collectors are specialized field computers that control survey instruments, record observations, and perform real-time computations.

Data Collector Functions

Function	Description
Instrument control	Communicate with and control total stations, GPS receivers, and digital levels
Data recording	Store observations with point numbers, codes, and descriptions
Real-time computation	Compute coordinates, inversions, intersections, and stakeout values
Feature coding	Apply feature codes for field-to-finish processing
Stakeout	Guide the surveyor to design positions with real-time cut/fill information
Traverse closure	Compute preliminary closures in the field
Communication	Connect to base stations, networks, and office systems

Data Collector Software Platforms

Platform	Manufacturer	Description
Trimble Access	Trimble	Full-featured field software for total station and GNSS
Leica Captivate	Leica Geosystems	Integrated field software with touch-screen interface
Topcon MAGNET	Topcon	Field data collection and stakeout
Carlson SurvCE/SurvPC	Carlson	Third-party software supporting multiple instrument brands
MicroSurvey FieldGenius	MicroSurvey	Third-party data collection platform

Computational Software

Beyond CAD and GNSS processing, surveyors use specialized computational software for:

Application	Function
Traverse adjustment	Compute and adjust traverses using compass rule, transit rule, or least squares
Least squares adjustment	Rigorous network adjustment with statistical analysis
Coordinate transformation	Convert between coordinate systems, datums, and projections
Curve computation	Solve horizontal and vertical curve problems
Area and volume	Compute areas, volumes, and earthwork quantities
Legal description	Generate legal descriptions from coordinate data
Surface analysis	Compute contours, slopes, drainage, and sight lines from terrain models

Remote Sensing and Scanning Technology

Terrestrial LiDAR (3D Laser Scanning)

Terrestrial laser scanners collect millions of 3D points per second, creating dense point clouds of the surveyed environment:

Application	Use in Surveying
As-built documentation	Capture existing conditions of structures and sites
Historic preservation	Record complex architectural features
Deformation monitoring	Detect movement or settlement over time
Industrial measurement	Document facilities, piping, and equipment
Accident reconstruction	Capture scene geometry for forensic analysis
Topographic mapping	Supplement conventional survey with dense surface data

Unmanned Aerial Systems (UAS/Drones)

UAS technology is increasingly used in surveying for:

Application	Description
Aerial photography	High-resolution imagery for mapping and analysis
Photogrammetric mapping	Generate orthoimages, elevation models, and contour maps from aerial photos
LiDAR scanning	Airborne LiDAR for topographic mapping of large areas
Construction monitoring	Track progress and compare to design
Volumetric computation	Calculate stockpile volumes from aerial models
Site inspection	Visual inspection of difficult-to-access areas

Regulatory considerations: UAS operations in the United States require compliance with FAA regulations (Part 107 for commercial operations), including pilot certification, airspace authorization, and operational limitations.

Mobile Mapping

Vehicle-mounted scanning and imaging systems that collect data while driving:

Technology	Application
Mobile LiDAR	Roadway mapping, corridor surveys, utility inventory
Street-level imagery	Visual documentation, asset inventory
Integrated GNSS/IMU	Provides positioning for mobile scanning platforms

Emerging Technologies

Technology	Potential Impact on Surveying
Real-time PPP	Survey-grade positioning without base stations or networks
Cloud computing	Processing large datasets, collaborative workflows
Machine learning	Automated feature extraction from point clouds and imagery
Augmented reality	Visualizing design overlaid on real-world view
Blockchain	Immutable record-keeping for survey documents
Multi-frequency GNSS	Improved accuracy and faster initialization with new signals
Digital twins	3D models integrating survey data with design and operational data

Common wrong path — "the software said so, so it's right." Modern survey software is extraordinarily capable, but it is not infallible. Coordinate transformations with the wrong datum selected, traverse adjustments with missed blunders, surface models with bad breaklines, RTK fixes that are "Fixed" but wrong — all can produce output that looks professional but is fundamentally incorrect. Students sometimes rely on software output without verification; the correct professional practice is to validate software results against independent computations, known values, or at least a sanity check. A surveyor who delivers software output without review is liable for the result just as if they'd computed it by hand. Exam questions test this by describing a scenario where the software output is suspiciously clean but one key input was wrong; the correct answer is always "verify before accepting."

Quick retrieval check — try before reading on.

▶You import field data into CAD, run automated traverse adjustment, and the software reports closure of 1:75,000 — far better than required for your project. Should you accept the result and proceed to mapping, or should you verify something first?

Verify first, then proceed. A closure of 1:75,000 is suspiciously clean — so much so that it should raise a flag rather than satisfaction. Possible explanations:

1. Incorrect starting coordinates — if the starting point was coded with wrong coordinates (e.g., the wrong control point), the software computes a clean closure back to the wrong point.

2. Blunder compensation — a systematic bias (like a wrong prism constant) applied uniformly can produce tight closures that hide a real error.

3. Correct and legitimate — some traverses really are that clean, especially with modern equipment and good observing procedures.

Before accepting: (1) re-check the starting coordinates against the source control; (2) inspect the residuals for unusual patterns (all same sign, dissimilar magnitudes); (3) sanity-check by comparing one leg's bearing and distance to hand-computed expectations; (4) compare to adjacent control or published coordinates if available. Only after these checks should you accept the result. A surveyor who signs a plat based on a "1:75,000 closure" without verification is liable for whatever hidden errors the software compensated for.

Technology Management Principles

Regardless of the specific tools, professional surveyors should follow these principles:

Principle	Application
Validation	Verify software results against independent computations or known values
Documentation	Record software versions, settings, and parameters used
Calibration	Maintain instruments and sensors per manufacturer specifications
Training	Ensure operators are properly trained on all tools used
Backup	Implement redundant data storage and disaster recovery
Version control	Track document revisions and maintain access to prior versions
Responsibility	The surveyor, not the software, is responsible for the results

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Exam Tips

• The surveyor is professionally responsible for results regardless of the software used to produce them
• GNSS post-processing requires downloading base station data and evaluating ambiguity resolution success
• Data collectors perform real-time computations in the field including traverse closure and stakeout
• CAD software is oriented toward design and drafting; GIS is oriented toward spatial analysis and data management
• UAS operations require FAA Part 107 certification for commercial use
• Least squares adjustment provides statistical quality measures that are not available from simpler adjustment methods
• Software results should always be validated against independent computations or known values
• RTK quality indicators (fix type, PDOP, number of satellites) should be monitored during data collection
• Terrestrial LiDAR collects dense point clouds but requires ground control and registration for survey accuracy

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Related Test Topics

• GPS/GNSS methods and processing (Topic 2.4)
• Surveying computations (Topic 2.5)
• Data collection and quality control (Topic 2.3)
• Maps, plats, and reports (Topic 2.8)
• GIS and projections (Topic 2.9)
• Documentation and supervision (Topic 2.10)

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Further Reading

Authoritative sources for deeper study

• Ghilani & Wolf, Adjustment Computations (5th Ed., 2010) — Authoritative treatment of least-squares adjustment for surveying networks.

• Wolf & Ghilani, Elementary Surveying — An Introduction to Geomatics (13th+ Ed.) — Comprehensive surveying text covering instruments, field procedures, and computations.

• FGDC Geospatial Positioning Accuracy Standards — National standard for positional accuracy reporting (NSSDA).

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Last updated: 2026-04-17