Land Use and Water Planning Using GIS Training Course

Participants can select and assess spatial datasets for a stated planning purpose.

• Vector, raster and tabular datasets matched to planning questions
• Authoritative cadastral, hydrological, soil and administrative data sources assessed
• Satellite imagery selected by spectral bands, revisit frequency and resolution
• Data fitness evaluated through lineage, completeness, currency and positional accuracy
• Field observations structured for later joining with mapped features
• Licensing, access restrictions and data-sharing agreements recorded before analysis

Participants can organise planning data in a documented and usable geodatabase.

• Geodatabase schema designed for parcels, land cover, water assets and risks
• Feature classes and attribute domains standardised for consistent data entry
• Unique identifiers maintained across survey records, permits and spatial features
• Relational joins connect water-point inventories with mapped locations
• Metadata records source, date, scale, limitations and responsible custodian
• Version control procedures protect approved planning layers from unintended changes

Participants can prepare spatial layers with appropriate projection and alignment controls.

• Geographic and projected coordinate reference systems compared for planning measurements
• Projection selection considers area, distance, direction and local mapping standards
• On-the-fly display distinguished from permanent dataset reprojection procedures
• Topology rules identify gaps, overlaps, slivers and invalid parcel boundaries
• Georeferencing aligns scanned plans and historical maps with control points
• Spatial joins and overlays checked for boundary mismatch and scale effects

Participants can interpret optical imagery for land, vegetation and surface-water conditions.

• Electromagnetic spectrum concepts linked to vegetation, soil and water signatures
• Multispectral bands selected for land cover and water-condition interpretation
• True-colour, false-colour and band-composite imagery compared for feature visibility
• Cloud, haze and shadow effects identified before image interpretation
• Normalized Difference Vegetation Index calculated for vegetation condition screening
• Normalized Difference Water Index applied to surface-water feature extraction

Participants can prepare imagery and classify land cover using documented methods.

• Image mosaics clipped to study boundaries and planning zones
• Radiometric corrections considered when comparing imagery from different acquisition dates
• Training samples selected across representative land-cover categories and spectral variation
• Supervised classification separates built-up land, cropland, forest and water
• Confusion matrices calculate overall accuracy, producer accuracy and user accuracy
• Classification errors reviewed against reference imagery and field observations

Participants can produce land cover maps and quantify changes relevant to planning.

• Land-cover legend designed around planning decisions and available image resolution
• Post-classification comparison quantifies conversion between mapped land-cover classes
• Change matrices identify agricultural expansion, urban growth and vegetation loss
• Time-series imagery distinguishes seasonal variation from persistent land-use change
• Urban expansion mapped against floodplains, recharge zones and productive soils
• Map symbology communicates land-cover change without overstating classification certainty

Participants can derive terrain and watershed layers from elevation data.

• Digital elevation model quality assessed for resolution, voids and vertical error
• Sink filling prepares elevation surfaces for hydrological flow modelling
• Flow direction and flow accumulation derive drainage pathways and channels
• Pour points positioned to delineate catchments for planning interventions
• Slope, aspect and curvature calculated for erosion and site-screening analysis
• Terrain profiles identify feasible corridors, storage sites and drainage constraints

Participants can map water resources, access infrastructure and hydrological constraints.

• Surface-water features mapped from imagery, surveys and official hydrographic datasets
• Water points classified by source type, yield, condition and service status
• Riparian buffers generated using stated regulatory or ecological distance criteria
• Recharge areas screened using geology, slope, soils and land cover
• Drainage density calculated to compare runoff concentration across subcatchments
• Water infrastructure mapped against settlements, farms and service-demand locations

Participants can construct a land suitability model for a specified land use.

• FAO land evaluation principles relate land qualities to proposed uses
• Suitability criteria defined for irrigation, settlement, conservation or agriculture
• Hard constraints exclude protected areas, floodplains and legally restricted land
• Standardised factor scores convert diverse datasets into comparable suitability scales
• Weighted overlay combines slope, soils, access, water and land-cover criteria
• Sensitivity testing examines how alternative weights change suitable-area results

Participants can document and defend spatial decision criteria and weighting choices.

• Analytical Hierarchy Process compares criterion importance through pairwise judgments
• Consistency ratios test whether pairwise comparison judgments require revision
• Stakeholder criteria separated from technical constraints and legal exclusions
• Trade-off maps reveal conflicts between water protection and development objectives
• Scenario weights reflect alternative policy priorities and planning assumptions
• Decision registers record evidence, rationale, owners and unresolved uncertainties

Participants can analyse spatial patterns of water demand, access gaps and allocation pressure.

• Domestic, agricultural, industrial and environmental water demands spatially differentiated
• Population and service-area data estimate demand at relevant planning scales
• Travel-time analysis identifies communities with poor water-point access
• Irrigation demand mapped using crop patterns, seasonality and command areas
• Supply-demand balance compares available sources with projected local requirements
• Allocation zones identify competing users and priority-service constraints

Participants can create risk maps that guide land controls and mitigation priorities.

• Flood susceptibility combines elevation, slope, drainage proximity and land cover
• Historical flood extents digitised from imagery, reports and field evidence
• Erosion screening integrates slope length, soil erodibility, rainfall and cover
• Land degradation indicators identify bare soil, gully formation and vegetation decline
• Risk classes validated against known events, inspections and community observations
• Mitigation zones prioritise retention, buffers, revegetation and development controls

Participants can incorporate groundwater vulnerability and water quality considerations into planning.

• Aquifer, borehole and spring data organised for groundwater planning analysis
• Groundwater vulnerability factors map contamination sensitivity near proposed development
• Wellhead protection zones delineated from hydrogeological evidence and local requirements
• Water quality results joined to sampling locations and catchment attributes
• Pollution-source inventories identify sanitation, industry and agricultural pressure points
• Monitoring networks assessed for spatial coverage, frequency and reporting gaps

Participants can map environmental values and constraints affecting land and water choices.

• Ecosystem service indicators identify water regulation, habitat and erosion-control functions
• Wetlands, forests and riparian areas mapped as planning-sensitive features
• Protected-area boundaries checked against proposed land-use allocation zones
• Ecological corridors assessed for fragmentation from roads and settlement expansion
• Environmental constraint maps distinguish exclusion areas from conditional development areas
• Nature-based measures located using runoff, slope, vegetation and land-tenure evidence

Participants can compare spatial planning alternatives against agreed land and water criteria.

• Baseline land-use scenario establishes current patterns, pressures and constraints
• Development scenarios allocate growth areas under stated population and policy assumptions
• Water-protection scenarios test buffers, recharge zones and abstraction controls
• Scenario comparison uses area statistics, demand indicators and risk exposure
• Conflict hotspots identify incompatible proposed uses within shared planning zones
• Preferred option selection records trade-offs, residual risks and implementation conditions

Participants can produce clear, quality-assured planning maps and technical evidence.

• Map layouts apply hierarchy, scale bars, north arrows and purposeful legends
• Colour schemes distinguish suitability, risk, land-cover and water-access information
• Cartographic generalisation prevents misleading detail at decision-making scales
• Quality assurance checklist verifies sources, projections, calculations and classifications
• Methods statements document assumptions, processing steps and known data limitations
• Planning briefs combine maps, statistics, recommendations and implementation responsibilities

Participants can define a practical operating plan for maintaining planning datasets and decisions.

• Spatial data maintenance schedules assign updates for priority planning layers
• Roles defined for data custodians, analysts, reviewers and decision authorities
• Field verification plans target uncertain classifications and high-consequence locations
• Monitoring indicators track land conversion, water access, risk and restoration
• Interoperability requirements specify formats, naming conventions and metadata minimums
• Implementation roadmaps sequence approvals, budgets, procurement and stakeholder communication

Participants can build, review and present a complete GIS-based land use and water planning recommendation.

• Project brief defines a contested land use and water planning decision
• Spatial database assembles validated land, water, terrain and stakeholder datasets
• Suitability, risk and access analyses produce evidence for alternative scenarios
• Preferred scenario tested against constraints, uncertainty and implementation requirements
• Peer review checks analytical logic, map quality and recommendation traceability
• Decision presentation communicates findings, trade-offs, actions and monitoring indicators