GIS and Drone Mapping for Urban Infrastructure Training Course

Participants can select and document coordinate reference systems and control suitable for an urban mapping project.

• Geographic, projected and vertical coordinate reference system distinctions
• Datum transformations and their effect on integrated infrastructure datasets
• Selecting projected coordinate systems for municipal engineering mapping
• Ground control points, checkpoints and survey control network roles
• GNSS correction methods: RTK, PPK and network correction services
• Vertical datums for drainage, flood, road and utility analyses

Participants can build a geodatabase schema for mapped assets, inspections and spatial relationships.

• Feature classes for roads, structures, utilities, drainage and street furniture
• Asset identifiers linking GIS features to enterprise asset registers
• Domains and subtypes controlling condition, material and ownership values
• Relationship classes connecting assets, inspections, photos and maintenance records
• Topology rules identifying gaps, overlaps, dangles and containment errors
• Metadata fields recording source, capture date, accuracy and editor

Participants can prepare and align CAD, tabular, imagery and legacy spatial data for analysis.

• Importing CAD design files with layer, unit and coordinate checks
• Georeferencing scanned plans using distributed, stable reference points
• Tabular coordinate imports with field validation and null-value checks
• Conflating legacy asset features against current aerial imagery
• Field mapping of source, date, positional accuracy and confidence
• Versioned editing procedures for controlled infrastructure data updates

Participants can specify a drone and sensor configuration against project accuracy and coverage requirements.

• Multirotor and fixed-wing platforms matched to urban site constraints
• RGB, multispectral, thermal and LiDAR sensor use cases
• Camera calibration concepts: focal length, sensor size and distortion
• Ground sampling distance calculated from altitude, sensor and focal length
• Urban obstruction risks from buildings, wires, cranes and trees
• Procurement specifications for drone-derived infrastructure survey services

Participants can prepare a documented drone mapping mission plan for a constrained urban site.

• Mission boundaries, take-off zones, emergency areas and exclusion zones
• Frontlap and sidelap settings for reliable image reconstruction
• Flight-line direction selected against wind, terrain and corridor geometry
• Pre-flight checks covering batteries, firmware, weather and communications
• Risk assessment controls for people, traffic, utilities and property
• Flight logs documenting mission parameters, incidents and data custody

Participants can review aerial image capture quality before photogrammetric processing begins.

• Image sharpness checks for motion blur, focus and exposure
• Coverage review for gaps, insufficient overlap and inaccessible areas
• Control target visibility across image blocks and flight lines
• Rolling-shutter distortion symptoms in fast or windy flights
• Oblique imagery capture for facades, bridges and complex structures
• Field acceptance log recording deficiencies and reflight decisions

Participants can process drone imagery into registered image blocks and core mapping outputs.

• Image alignment using tie points and camera calibration parameters
• Bundle adjustment principles for camera pose and block optimisation
• Ground control marking and checkpoint reservation procedures
• Dense point cloud generation with classification-ready output settings
• Orthomosaic production using surface models and image blending rules
• Processing reports recording inputs, settings, warnings and residuals

Participants can inspect, classify and extract infrastructure information from point cloud data.

• Point cloud attributes: XYZ coordinates, RGB values and classification codes
• Noise filtering for isolated points, moving vehicles and water surfaces
• Ground classification methods for terrain model preparation
• Extracting poles, curbs, roofs and structures from dense clouds
• Cross-section profiles for roads, drainage channels and embankments
• Point density checks against feature size and required detail

Participants can create terrain products and interpret elevation patterns for infrastructure decisions.

• Digital surface models versus digital terrain models for urban analysis
• Breaklines preserving curbs, channels, ridges and retaining walls
• Contour generation with interval selection and smoothing controls
• Slope, aspect and hillshade surfaces for terrain interpretation
• Cut-and-fill volume estimation between existing and design surfaces
• Surface validation using survey checkpoints and elevation residuals

Participants can build 3D GIS scenes that represent terrain, structures and infrastructure assets.

• Extruding building footprints using height attributes and roof forms
• Multipatch and mesh models for bridges, stations and complex assets
• Vertical exaggeration choices for communicating subtle terrain constraints
• Scene layer packages for sharing large 3D datasets efficiently
• Level-of-detail rules for citywide and site-level visualisation
• 3D symbology linking asset condition, ownership and maintenance priority

Participants can analyse road corridors using imagery, terrain and asset data.

• Centreline measures, chainage and linear referencing for road assets
• Crossfall and longitudinal gradient derived from terrain surfaces
• Road defect mapping with location, severity, extent and photo evidence
• Sight-distance screening using terrain, buildings and vegetation obstacles
• Right-of-way mapping from parcel boundaries, utilities and survey data
• Corridor map sheets with chainage grids and engineering annotations

Participants can identify drainage constraints and map terrain-based flood exposure indicators.

• Flow direction and flow accumulation from conditioned terrain models
• Sink filling and breach decisions for urban drainage surfaces
• Catchment delineation for culverts, channels and stormwater inlets
• Mapping low points, ponding areas and blocked drainage observations
• Culvert inventory attributes for size, material, condition and capacity
• Flood exposure screening using elevation, drainage and asset locations

Participants can structure and assess utility mapping information while representing positional uncertainty.

• Utility network feature classes for water, sewer, power and telecom
• Connectivity rules for pipes, valves, manholes and service connections
• Quality levels distinguishing surveyed, inferred and record-derived utility locations
• Offset and depth attributes for subsurface asset representation
• Conflict screening between proposed works and known utility corridors
• As-built data handover requirements for utility GIS updates

Participants can map condition evidence and prioritise infrastructure inspection and maintenance actions.

• Condition rating scales aligned with asset inspection criteria
• Photo-linked inspections with location, orientation, date and inspector
• Defect polygons for pavement, roof, bridge and drainage deterioration
• Spatial prioritisation using condition, criticality, exposure and service impact
• Thematic maps separating urgent interventions from planned maintenance
• Inspection completeness checks against asset inventories and route coverage

Participants can compare repeat surveys to report construction progress, deviations and site changes.

• Repeat-flight planning for comparable dates, altitude and camera settings
• Orthomosaic comparison for footprint changes and completed work areas
• Surface differencing for stockpiles, excavation and earthworks quantities
• Control point consistency checks across multi-date survey datasets
• Progress dashboards linking mapped status to programme activities
• Change reports documenting date, method, tolerance and interpretation

Participants can evaluate and report positional accuracy, completeness and fitness for intended use.

• Accuracy, precision, resolution and uncertainty distinguished for mapping products
• Checkpoint residuals calculated separately from ground control residuals
• RMSE calculation for horizontal and vertical positional accuracy
• ASPRS Positional Accuracy Standards reporting classes and confidence levels
• Completeness, logical consistency and attribute accuracy quality measures
• Quality assurance plans assigning checks, tolerances and acceptance responsibilities

Participants can publish clear infrastructure map products with appropriate metadata and access controls.

• Map scale, coordinate grids and north arrows matched to user tasks
• Symbology hierarchy separating assets, hazards, basemaps and annotations
• Annotation rules for chainage, utility labels and engineering callouts
• Web map configuration for layers, pop-ups, filters and permissions
• Metadata records describing purpose, source, accuracy, limitations and contacts
• Export specifications for PDF plans, imagery tiles and GIS data packages

Participants can establish governance controls for drone-derived infrastructure data, access and retention.

• Data ownership agreements for contractors, authorities and asset operators
• Privacy controls for imagery containing people, vehicles and private property
• Retention schedules for raw imagery, processed outputs and flight logs
• Access roles for editing, review, publication and external sharing
• Naming conventions for projects, deliverables, versions and survey dates
• Standard operating procedures for repeatable drone-to-GIS production

Participants can build, review and present a complete drone-to-GIS urban infrastructure mapping project with documented quality evidence.

• Project brief defining asset decisions, users, geographic extent and deliverables
• Geodatabase assembled from imagery, terrain, assets and inspection records
• Drone survey specification justified through coverage, resolution and control requirements
• 3D analysis identifying infrastructure constraints, defects and maintenance priorities
• Accuracy report presenting checkpoints, residuals, limitations and acceptance status
• Final map package reviewed against cartographic, metadata and governance criteria