GIS Applications for Land and Environment Training Course

Participants can select suitable spatial data structures and design a working geodatabase.

• Vector feature classes for parcels, rivers, roads, points and boundaries
• Raster grids represent imagery, elevation, temperature and continuous environmental surfaces
• Attribute tables structured using unique identifiers, domains and coded values
• Geodatabase schema defines feature datasets, relationships, topology and naming conventions
• One-to-many relationships connect inspections, permits and monitoring observations
• Data normalization reduces duplication across land records and environmental inventories

Participants can assign, verify and transform coordinate reference systems for reliable analysis.

• Geographic and projected coordinate systems distinguished through practical map examples
• Datum selection matched to national mapping, survey control and project requirements
• EPSG codes used to document coordinate reference system definitions
• On-the-fly projection compared with permanent dataset reprojection procedures
• Transformation parameters selected when combining datasets from different datums
• Positional accuracy assessed using control points, scale and source documentation

Participants can evaluate and document spatial datasets before using them in a decision process.

• Authoritative sources identified for cadastral, environmental, imagery and elevation datasets
• Data licensing checked before redistribution, publication or commercial project use
• ISO 19115 metadata elements recorded for source, lineage, quality and constraints
• Completeness, positional accuracy and temporal currency assessed against project needs
• Sampling bias identified within volunteered geographic information and field observations
• Data inventory ranks available datasets by suitability, risk and replacement priority

Participants can prepare clean spatial datasets using repeatable editing and validation procedures.

• Attribute values standardized through domains, lookup tables and field calculations
• Topology rules detect gaps, overlaps, dangles and invalid polygon boundaries
• Geometry repair corrects self-intersections, duplicate features and empty geometries
• Spatial joins enrich land units with administrative and environmental attributes
• Edit tracking records contributor, date, reason and source evidence
• Quality-control checklist verifies geometry, attributes, projections and metadata completion

Participants can produce maps that communicate land and environmental findings accurately and clearly.

• Map purpose determines scale, extent, projection, classification and visual hierarchy
• ColourBrewer schemes distinguish sequential, diverging and qualitative thematic data
• Jenks natural breaks compared with quantile and equal-interval classification
• Labels, annotation and scale-dependent rendering improve feature legibility
• Layout elements include title, legend, north arrow, scale bar and sources
• Map critique tests readability, bias, accessibility and decision relevance

Participants can use vector geoprocessing methods to answer land and asset management questions.

• Buffer analysis identifies zones around rivers, roads, wells and protected sites
• Clip, intersect and union operations combine land constraints and administrative layers
• Dissolve tools aggregate parcels by tenure, zoning or management category
• Spatial selection isolates features meeting location and attribute criteria
• Proximity analysis calculates nearest facilities, hazards and service access
• Area and length calculations support reporting, compensation and compliance estimates

Participants can interpret raster data and select appropriate imagery for environmental questions.

• Pixel size, spatial resolution and extent affect analytical interpretation
• Spectral bands capture visible, near-infrared, shortwave infrared and thermal responses
• Landsat and Sentinel-2 imagery compared for revisit interval and resolution
• Digital numbers, reflectance and radiance distinguished for image interpretation
• Raster calculator applies cell-by-cell equations to environmental indicator layers
• NoData values, resampling methods and cell alignment controlled before analysis

Participants can prepare satellite imagery and derive spectral indices for land assessment.

• Atmospheric correction converts raw imagery into surface reflectance products
• Cloud and shadow masks remove unreliable observations from image scenes
• Band composites reveal vegetation, water, built surfaces and bare soil
• Normalized Difference Vegetation Index measures green vegetation condition
• Normalized Difference Water Index identifies open water and moisture patterns
• Image mosaics and clipping prepare consistent coverage for project boundaries

Participants can create, assess and explain a supervised land-cover classification.

• Training samples selected for representative and separable land-cover classes
• Supervised classification assigns pixels using labelled spectral training data
• Random Forest classification compared with maximum likelihood classification
• Confusion matrix reports producer accuracy, user accuracy and overall accuracy
• Reference samples separated from training data for independent validation
• Classification errors explained through mixed pixels, shadows and seasonal variation

Participants can derive terrain and drainage information for environmental and infrastructure planning.

• Digital elevation models provide elevation, slope, aspect and surface form
• Slope thresholds identify erosion risks, constructability constraints and access limitations
• Flow direction and flow accumulation derive drainage pathways
• Watershed delineation defines catchments upstream from selected outlet points
• Stream extraction applies accumulation thresholds and hydrological conditioning
• Terrain profiles assess proposed routes, excavation requirements and visibility constraints

Participants can build a transparent land-suitability model using weighted spatial criteria.

• Suitability criteria defined from policy, technical, environmental and social requirements
• Boolean constraints exclude protected areas, flood zones and restricted parcels
• Standardization rescales slope, distance and soil variables onto common ranges
• Weighted linear combination combines criteria using documented relative importance
• Analytic Hierarchy Process compares criteria through pairwise weighting judgments
• Sensitivity analysis tests how weight changes affect suitable-area rankings

Participants can identify, quantify and report land-cover change using multi-date spatial evidence.

• Multi-date imagery aligned through consistent projection, extent and resolution
• Post-classification comparison identifies transitions between mapped land-cover classes
• Change matrices quantify gains, losses and conversions by category
• Vegetation index trends distinguish seasonal variation from persistent decline
• Hotspot mapping prioritizes inspection areas using change magnitude and sensitivity
• Monitoring reports state uncertainty, date ranges, thresholds and verification needs

Participants can design a field-data workflow that integrates controlled observations with GIS records.

• Field forms capture location, attributes, photographs, timestamps and observer identity
• Controlled vocabularies prevent inconsistent habitat, condition and land-use entries
• Sampling design selects transects, plots or inspection points objectively
• Global Navigation Satellite System accuracy recorded alongside each observation
• Offline maps support collection where connectivity is limited or unavailable
• Synchronization procedures reconcile field edits with master geodatabase records

Participants can govern GIS data and document analytical processes for review and reuse.

• Data stewardship assigns ownership, custodianship, approval and maintenance responsibilities
• Access controls protect personal, culturally sensitive and commercially restricted locations
• Versioning procedures preserve approved datasets and trace material edits
• Geoprocessing models document inputs, parameters, outputs and processing sequence
• Reproducibility checklist records software version, source date and analytical assumptions
• Ethical mapping avoids disclosing vulnerable communities, species and sensitive assets

Participants can build, review and present a complete GIS decision package for a defined land or environmental case.

• Project brief defines the decision question, stakeholders, constraints and success measures
• Data inventory documents sources, coordinate systems, metadata and fitness assessments
• Geodatabase integrates vector layers, raster surfaces and field observations
• Analytical workflow applies suitability, change detection or environmental risk methods
• Map series communicates findings, limitations, assumptions and recommended actions
• Peer review tests technical validity, cartographic clarity and decision usefulness
• Final briefing presents evidence, uncertainty and implementation priorities to decision makers