Watershed Management Using GIS and Remote Sensing Training Course

Participants can assemble and quality-check spatial datasets for watershed analysis.

• Vector, raster and tabular data roles in watershed assessments
• Coordinate reference systems, datum selection and projection-related measurement errors
• Metadata review covering source, date, resolution, accuracy and permitted use
• Topology checks for stream networks, catchment polygons and infrastructure layers
• Attribute-table joins using unique identifiers and documented matching rules
• Geodatabase folder structures supporting reproducible watershed project files

Participants can evaluate and prepare elevation data for hydrological terrain processing.

• Digital elevation model resolution matched to catchment size and decisions
• LiDAR, SRTM and ALOS elevation products compared for watershed applications
• Vertical datum checks before combining terrain and surveyed water-level data
• Sink filling and breaching methods for hydrologically conditioned surfaces
• Hillshade, slope and aspect outputs for terrain interpretation
• Terrain artefacts identified from bridges, roads, vegetation and data voids

Participants can derive drainage networks, pour points and watershed boundaries from terrain data.

• Flow direction calculated using the D8 flow-routing algorithm
• Flow accumulation thresholds selected for appropriate stream-network density
• Pour points positioned and snapped to accumulated drainage cells
• Watershed boundaries generated from conditioned elevation surfaces and outlets
• Sub-catchments delineated for tributary-level management and monitoring
• Derived streams compared against hydrography datasets and aerial imagery

Participants can calculate spatial indicators that describe catchment form and drainage behaviour.

• Drainage density calculated from stream length and catchment area
• Relief ratio, elongation ratio and bifurcation ratio interpreted
• Stream ordering performed using the Strahler stream-order method
• Time of concentration estimated from slope, flow length and land cover
• Flow-path lengths mapped to identify rapid runoff-contributing areas
• Catchment morphometry linked to flood response and sediment transport

Participants can select and interpret satellite imagery for watershed management questions.

• Sentinel-2 and Landsat imagery selected by resolution and revisit interval
• Spectral signatures distinguished for water, soil, vegetation and built surfaces
• Cloud masking and image compositing methods for seasonal analysis
• False-colour composites prepared for vegetation, moisture and disturbance interpretation
• Seasonal acquisition dates matched to crop cycles and rainfall patterns
• Image limitations assessed for shadow, haze, mixed pixels and cloud cover

Participants can produce and assess land-cover maps for catchment planning.

• Classification schema designed around hydrological and management-relevant land-cover classes
• Training samples collected from imagery, field records and reference photography
• Supervised classification using random forest and maximum likelihood methods
• Post-classification cleaning removes isolated pixels and implausible land-cover patches
• Confusion matrices, producer accuracy and user accuracy interpreted
• Change detection identifies conversion, vegetation loss and expanding impervious cover

Participants can derive spectral indices for vegetation condition, moisture and surface-water analysis.

• NDVI calculated to map vegetation vigour and seasonal cover
• NDWI and MNDWI applied to surface-water and wetness detection
• NBR used to identify burned areas and post-fire recovery
• Bare Soil Index highlights exposed soils and cultivation disturbance
• Time-series charts separate seasonal variation from persistent vegetation decline
• Index thresholds checked against imagery, field observations and local conditions

Participants can map runoff-contributing areas and screen flood susceptibility using spatial evidence.

• Rainfall datasets compared by gauge coverage, satellite estimates and temporal resolution
• Curve Number method links soils, land cover and antecedent moisture
• Runoff potential mapped from imperviousness, slope and hydrologic soil groups
• Flood susceptibility factors weighted using terrain, drainage and land cover
• Flow accumulation identifies concentrated overland flow and drainage blockage risks
• Hazard maps distinguished from flood models and formal inundation forecasts

Participants can prepare erosion-risk maps and identify sediment-control priorities.

• RUSLE factors represent rainfall erosivity, soil erodibility and topography
• LS factor derived from slope length and slope steepness
• Cover-management factor estimated from land cover and vegetation indices
• Support-practice factor assigned from terraces, contouring and conservation measures
• Sediment delivery pathways traced from eroding slopes to watercourses
• Erosion hotspots ranked for field verification and treatment planning

Participants can identify land-based pressures affecting source-water quality and treatment risk.

• Source-water protection zones delineated around intakes, wells and reservoirs
• Riparian buffer widths assessed against land cover and channel condition
• Potential pollutant sources mapped from settlements, farms and industrial facilities
• Nutrient and sediment pathways traced using slope and drainage connectivity
• Water-quality sampling locations evaluated for representativeness and access
• Risk registers connect mapped pressures with monitoring and management actions

Participants can screen potential groundwater recharge areas using mapped physical factors.

• Recharge concepts distinguish infiltration, percolation, storage and groundwater discharge
• Geology, soil permeability, slope and land cover combined spatially
• Lineament mapping interpreted cautiously as a groundwater exploration indicator
• Recharge suitability classes checked against wells, springs and field evidence
• Exclusion zones identify contamination risks near recharge-priority areas
• Results communicated as screening evidence rather than aquifer yield estimates

Participants can design field verification and integrate observations with GIS watershed datasets.

• Field forms capture location, condition, photographs and observer confidence
• Sampling designs target representative classes, hotspots and uncertain map areas
• GNSS accuracy, waypoint averaging and coordinate recording procedures
• Mobile data collection synchronised with standardised attribute domains
• Field observations used to validate land cover and erosion interpretations
• Data-quality logs record missing values, duplicates and location discrepancies

Participants can rank watershed interventions using transparent multi-criteria spatial analysis.

• Management criteria defined for risk, benefit, feasibility and cost
• Analytic Hierarchy Process structures pairwise comparison of planning criteria
• Weighted overlay combines standardised raster criteria into priority surfaces
• Constraints exclude protected infrastructure, unsuitable terrain and inaccessible areas
• Sensitivity testing examines changes caused by alternative criterion weights
• Priority classes translated into restoration, protection and monitoring actions

Participants can match mapped catchment conditions to feasible watershed management measures.

• Riparian restoration targets channel buffers, bank stability and shade
• Check dams and gully controls matched to slope and contributing area
• Contour bunds, terraces and grass strips reduce hillslope erosion
• Detention ponds and bioswales address urban runoff and peak flows
• Reforestation suitability considers soils, rainfall, tenure and maintenance capacity
• Intervention logic models link activities, outputs and hydrological outcomes

Participants can produce clear maps and reporting outputs for watershed management decisions.

• Map purpose determines scale, extent, classification and symbol hierarchy
• Colour schemes distinguish hazard, priority, condition and intervention categories
• Legends, north arrows, scale bars and sources meet reporting requirements
• Area and length statistics summarised by sub-catchment and priority class
• Map annotations identify outlets, intakes, settlements and critical hotspots
• Technical narratives state methods, assumptions, limitations and recommended actions

Participants can translate GIS findings into a monitored and accountable watershed action plan.

• Results frameworks define outcomes, indicators, baselines and target values
• Monitoring plans assign frequency, methods, responsibility and data custodians
• Before-after-control-impact designs strengthen intervention performance evaluation
• Catchment governance roles mapped across agencies, users and community institutions
• Implementation schedules sequence surveys, permits, works and maintenance activities
• Budget assumptions distinguish capital costs, recurrent costs and contingencies

Participants can build, review and present a complete GIS-supported watershed management plan for a defined catchment.

• Catchment boundary, sub-catchments and drainage network assembled from terrain data
• Land cover, erosion, runoff and source-water risks analysed spatially
• Field evidence and data limitations documented within the assessment
• Priority intervention areas ranked using transparent multi-criteria decision analysis
• Management measures, monitoring indicators and implementation responsibilities specified
• Planning maps, technical findings and recommendations presented for peer review