GIS for Natural Resource Management Training Course

Participants can select, assign and verify coordinate reference systems appropriate to resource analysis.

• Geographic and projected coordinate systems compared for environmental mapping purposes
• Datum transformations identified when combining GPS, survey and legacy datasets
• UTM zone selection for watershed, forest and protected-area analysis
• Projection distortion assessed for area, distance, direction and shape measurements
• Coordinate reference metadata checked before overlaying layers from multiple sources
• Reprojection workflows preserving geometry, attribute integrity and documented source lineage

Participants can build a geodatabase structure that supports natural resource monitoring and analysis.

• Feature classes designed for sites, boundaries, observations and management units
• Attribute domains standardising land cover, condition classes and intervention types
• Unique identifiers linking field observations, photographs and laboratory results
• Relationship classes connecting monitoring events to locations and survey teams
• Topology rules preventing overlaps, gaps and invalid shared boundaries
• Naming conventions supporting version control, handover and audit trails

Participants can specify field data collection methods that produce usable GIS records.

• Sampling designs matched to habitat, water-quality and land-condition monitoring objectives
• Point, line and polygon observations selected for resource feature geometry
• Field forms structured with mandatory attributes, coded values and validation rules
• GNSS accuracy requirements matched to asset, boundary and ecological survey needs
• Photographs, timestamps and observer records linked to spatial observation identifiers
• Field protocols addressing access constraints, safety and sensitive-location confidentiality

Participants can evaluate dataset fitness for use and document limitations for downstream users.

• ISO 19115-1 metadata elements recorded for source, lineage and distribution
• Positional accuracy assessed against survey control points and imagery references
• Attribute completeness checks identifying missing classes, codes and observation dates
• Temporal validity reviewed against seasonal conditions and management reporting periods
• Logical consistency tests applied to topology, domains and classification rules
• Fitness-for-purpose statements connecting data limitations to decision risk

Participants can use vector geoprocessing tools to measure spatial relationships and management exposure.

• Buffer distances applied around rivers, wells, roads and protected habitats
• Overlay operations comparing concessions, tenure parcels and conservation priorities
• Proximity analysis locating communities, infrastructure and pressure sources near resources
• Dissolve and multipart tools summarising management zones by common attributes
• Spatial joins aggregating incidents, surveys and resource observations by administrative unit
• Area and length calculations performed using appropriate projected coordinate systems

Participants can prepare raster datasets for environmental modelling and resource condition assessment.

• Raster resolution selected according to process scale and decision precision
• Cell size, extent and alignment controlled before combining raster datasets
• NoData values distinguished from zero values and valid absence records
• Raster reclassification converting continuous measures into management-relevant categories
• Resampling methods compared for categorical land cover and continuous elevation surfaces
• Raster calculator expressions combining condition, pressure and accessibility variables

Participants can derive terrain and drainage indicators for watershed and erosion management decisions.

• Digital elevation models checked for sinks, artefacts and vertical-unit consistency
• Slope, aspect and curvature derived for land-condition and erosion assessments
• Flow direction and accumulation calculated from hydrologically conditioned elevation models
• Watershed boundaries delineated from pour points and drainage networks
• Stream-order classification applied using the Strahler stream-order method
• Topographic wetness index interpreted for runoff concentration and saturation risk

Participants can select and prepare satellite imagery for resource monitoring questions.

• Landsat and Sentinel-2 imagery compared for spatial, spectral and temporal resolution
• Cloud masking and scene selection matched to seasonal monitoring objectives
• Spectral bands interpreted for vegetation, water, bare soil and built surfaces
• Normalized Difference Vegetation Index calculated for vegetation condition screening
• False-colour composites prepared to distinguish vegetation stress and surface moisture
• Image preprocessing documented with acquisition date, processing level and cloud cover

Participants can classify land cover and report classification accuracy using accepted measures.

• Training samples selected using representative land-cover reference observations
• Supervised classification performed with maximum likelihood and random forest methods
• Class definitions aligned with project objectives and field-observable categories
• Confusion matrices calculated from independent validation sample points
• Producer's, user's and overall accuracy reported with classification limitations
• Post-classification smoothing applied without obscuring small, important features

Participants can quantify resource change between dates and establish a repeatable monitoring approach.

• Image dates selected to control seasonal variation and phenological effects
• Post-classification comparison quantifying transitions between land-cover categories
• Change matrices identifying deforestation, restoration, conversion and stable areas
• NDVI differencing used to screen vegetation decline and recovery patterns
• Minimum mapping units defined for reporting meaningful spatial change
• Monitoring baselines, indicators and update frequencies documented for programme reporting

Participants can build and test a transparent suitability model for a resource management intervention.

• Management objectives translated into factors, constraints and exclusion areas
• Criteria standardisation converts diverse measures into comparable suitability scales
• Weighted overlay combines ecological, social, technical and cost criteria
• Analytic Hierarchy Process supports pairwise comparison of criterion importance
• Constraint masks exclude legally restricted, unsafe or technically unsuitable locations
• Sensitivity analysis tests how weight changes affect priority areas

Participants can identify priority conservation areas and assess landscape connectivity using spatial indicators.

• Habitat patches measured for area, edge exposure and shape complexity
• Core-area analysis distinguishes interior habitat from edge-affected land
• Least-cost paths model movement routes between habitat patches
• Resistance surfaces assign movement costs across land-cover and infrastructure classes
• Corridor alternatives compared against tenure, settlements and planned development
• Priority sites ranked using biodiversity value, threat level and feasibility

Participants can analyse catchment pressures and identify geographically targeted water-resource actions.

• Riparian buffer zones mapped against agriculture, settlement and infrastructure encroachment
• Upstream-downstream relationships analysed using sub-catchment boundaries and flow paths
• Erosion susceptibility mapped from slope, cover, soils and rainfall proxies
• Water-point inventories assessed for service areas, condition and seasonal reliability
• Pollution-source screening combines drainage networks, facilities and incident locations
• Catchment intervention zones prioritised using risk, beneficiaries and implementation feasibility

Participants can map resource condition and target restoration measures for terrestrial landscapes.

• Forest inventory plots linked to stands, compartments and management prescriptions
• Canopy-cover indicators mapped from imagery and field verification records
• Rangeland condition classes defined using vegetation, bare ground and grazing pressure
• Restoration opportunity areas screened for degradation, tenure and access constraints
• Fire-risk surfaces combine fuel load, slope, roads and settlement proximity
• Management zones assigned for protection, recovery, sustainable use and monitoring

Participants can integrate climate hazards, exposure and ecosystem functions into spatial adaptation planning.

• Hazard, exposure and vulnerability layers structured for climate-risk assessment
• Flood exposure mapped using terrain, drainage, settlement and infrastructure data
• Heat-risk screening combines land surface temperature, tree cover and population
• Ecosystem services mapped for flood regulation, erosion control and cooling
• Nature-based adaptation sites prioritised using benefit, feasibility and maintenance criteria
• Uncertainty communicated where climate projections and local data disagree

Participants can produce clear maps and supporting narratives for technical and management decisions.

• Map purpose determines projection, scale, symbology and level of detail
• Visual hierarchy directs attention to findings, priorities and management boundaries
• Classification methods selected for ordinal, nominal and continuous environmental data
• Colour schemes distinguish risk, condition, change and protected-status categories
• Layout elements include scale bar, north arrow, sources and coordinate grid
• Technical notes state methods, assumptions, limitations and recommended actions

Participants can manage spatial data responsibly under environmental, legal and community safeguards.

• Data governance roles assign ownership, stewardship, approval and publication responsibilities
• Access controls protect species locations, cultural sites and personal information
• Free, Prior and Informed Consent considered for community-derived spatial data
• Data-sharing agreements define permitted uses, attribution and redistribution conditions
• Version control records edits, approvals and superseded analytical outputs
• Ethical map review checks potential harm from disclosure or misinterpretation

Participants can plan a maintainable GIS workflow for routine natural resource monitoring and reporting.

• Standard operating procedures define acquisition, validation, analysis and publication steps
• Workflow diagrams identify inputs, transformations, outputs and accountable roles
• Quality assurance checkpoints placed before analysis, review and external release
• Update schedules align field surveys, imagery acquisition and reporting deadlines
• Resource plans specify software, storage, staff capability and field equipment needs
• Implementation roadmaps sequence pilots, validation, rollout and performance review

Participants can build, review and present a complete GIS-based natural resource management decision product with documented methods and recommendations.

• Project brief defines decision owner, resource issue, users and acceptance criteria
• Geodatabase integrates authoritative layers, field observations and derived analysis outputs
• Analysis workflow applies quality checks, spatial methods and stated assumptions
• Suitability or risk model produces prioritised areas for management action
• Map series communicates baseline conditions, findings, uncertainty and recommended interventions
• Peer review tests reproducibility, evidence quality and decision relevance
• Decision brief presents implementation priorities, limitations and monitoring indicators