About This Course
Water resource managers, hydrologists, and environmental planners face increasing pressure to make data-driven decisions about scarce and increasingly unpredictable water supplies. Climate variability, rapid urbanisation, and growing demand for water infrastructure require professionals who can interpret spatial data, model watersheds, and communicate findings clearly to both technical teams and policy stakeholders. Spatial data analysis has become an indispensable competence in the modern water sector.
This 10-day Spatial Data Analysis for Water Management Training course, delivered by TrainingComplex, provides a comprehensive, tool-rich learning journey for professionals working across the water value chain. From foundational GIS concepts and satellite imagery interpretation to hydrological modelling, flood mapping, groundwater analysis, and integrated water resource planning, participants develop a robust, field-applicable skill set over two intensive weeks.
The programme combines structured instruction with hands-on laboratory sessions using industry-standard software including QGIS, ArcGIS, ERDAS Imagine, and HEC-RAS. Real watershed datasets drawn from African and Middle Eastern contexts are used throughout, ensuring that learning is immediately relevant to the environments where participants work. By the close of the course, each delegate will have produced a spatial water management analysis report tied to a scenario from their own professional context.
TrainingComplex's training approach ensures that participants leave not only with technical proficiency but also with the ability to apply spatial thinking to water governance, infrastructure planning, and community-level water security interventions — making this course equally valuable for government water authorities, NGOs, development finance institutions, and private sector water utilities.
Who Should Attend
- Hydrologists and water resource engineers
- GIS analysts and spatial data officers working in the water sector
- Environmental planners and catchment management specialists
- Water utility planners and infrastructure project managers
- Irrigation engineers and agricultural water management officers
- Monitoring and evaluation officers in water, sanitation, and hygiene (WASH) programmes
- Climate adaptation specialists and disaster risk reduction officers
- Government water authority staff and policy analysts
- NGO and development organisation staff managing water-related programmes
- Academics and researchers in hydrology, geography, or environmental science
Learning Objectives
- Understand the principles of Geographic Information Systems (GIS) as applied to water resource management
- Collect, manage, and validate spatial datasets from satellite imagery, field surveys, and open data portals
- Delineate watersheds and sub-catchments using Digital Elevation Models (DEMs) and terrain analysis tools
- Apply remote sensing techniques to monitor surface water bodies, vegetation cover, and land use change
- Conduct hydrological modelling to estimate runoff, streamflow, and flood extent
- Map groundwater potential zones using multi-criteria spatial analysis and well data integration
- Analyse water infrastructure networks including pipelines, boreholes, and irrigation schemes using spatial data
- Develop drought and water stress indices using satellite-derived indicators such as NDWI and NDVI
- Produce cartographic-quality maps and spatial reports suitable for water sector planning and stakeholder communication
- Integrate spatial analysis outputs into water resource management plans and environmental impact assessments
- Apply spatial data skills to flood risk mapping, early warning systems, and climate adaptation planning
- Use spatial data to support community-level water access assessments and WASH programme targeting
- Demonstrate proficiency in at least two GIS software platforms and one hydrological modelling environment
Course Modules
Module 1: Foundations of GIS for Water Resource Management
- Core concepts: spatial data types, coordinate systems, and map projections relevant to water mapping
- Overview of GIS software platforms used in the water sector: QGIS, ArcGIS, and open-source alternatives
- Navigating the QGIS interface: loading layers, attribute tables, and basic geoprocessing functions
- Data sources for water management: OpenStreetMap, FAO GeoNetwork, USGS EarthExplorer, and national data portals
- Spatial data formats commonly used in water sector work: Shapefile, GeoJSON, GeoPackage, and raster formats such as GeoTIFF
- Understanding spatial reference systems and reprojecting datasets to a common CRS for multi-layer water resource analysis
Module 2: Spatial Data Collection and Quality Management
- GPS field data collection techniques: accuracy, datum selection, and equipment calibration for water surveys
- Designing water point and infrastructure data collection forms using KoBoToolbox and ODK
- Data cleaning, validation, and standardisation for hydrological and WASH datasets
- Metadata standards and spatial data documentation practices for water sector reporting
- Identifying and resolving common spatial errors: duplicate points, coordinate transposition, and positional outliers in water point datasets
- Establishing field data quality control protocols including enumerator training, back-checks, and real-time submission monitoring
Module 3: Terrain Analysis and Watershed Delineation
- Understanding Digital Elevation Models (DEMs): sources, resolution, and pre-processing for hydrological use
- Fill sinks, flow direction, and flow accumulation algorithms in QGIS and ArcGIS
- Automated watershed and sub-catchment delineation workflows applied to real African river basins
- Stream network extraction and morphometric analysis: drainage density, basin shape, and channel gradient
- Comparing DEM products for hydrological accuracy: SRTM 30m, ALOS 12.5m, Copernicus 30m, and locally derived LiDAR datasets
- Calculating hydrological parameters at the sub-catchment level including time of concentration, curve number, and mean annual runoff potential
Module 4: Remote Sensing for Water Resource Monitoring
- Principles of satellite remote sensing: electromagnetic spectrum, spectral bands, and sensor characteristics
- Downloading and pre-processing Landsat and Sentinel-2 imagery for surface water applications
- Spectral indices for water monitoring: NDWI, MNDWI, and modified water indices for seasonal mapping
- Change detection techniques to track shrinking water bodies, reservoir levels, and wetland loss over time
- Using the JRC Global Surface Water dataset to analyse long-term water occurrence, seasonality, and recurrence patterns
- Cloud masking and atmospheric correction workflows for optical satellite imagery to ensure radiometrically consistent water mapping outputs
Module 5: Land Use, Land Cover, and Hydrological Connectivity Analysis
- Supervised and unsupervised image classification for land use and land cover mapping
- Assessing the hydrological impact of land use change on runoff generation and infiltration
- Riparian buffer zone mapping and vegetation analysis along stream corridors
- Integrating land use maps with water quality and erosion risk datasets for integrated basin planning
- Accuracy assessment of land cover classifications using confusion matrices, overall accuracy, and Kappa coefficient
- Quantifying impervious surface expansion in peri-urban catchments and its implications for peak flow and groundwater recharge rates
Module 6: Hydrological Modelling for Water Management
- Introduction to rainfall-runoff modelling concepts: the SCS-CN method and its spatial implementation
- Setting up HEC-HMS models: basin schematic, meteorological inputs, and model calibration
- Runoff simulation and streamflow estimation under current and projected climate scenarios
- Interpreting hydrograph outputs and translating model results into water resource planning recommendations
- Deriving spatially distributed curve numbers from land use and soil hydrological group maps for sub-catchment parameterisation
- Model sensitivity analysis and uncertainty assessment: evaluating the influence of input parameter variation on simulated peak flow and volume estimates
Module 7: Flood Mapping and Risk Assessment
- Hydraulic modelling fundamentals using HEC-RAS: cross-section data, Manning's n, and boundary conditions
- Delineating 10-year, 50-year, and 100-year flood inundation extents from modelled water surface profiles
- Integrating flood extent maps with population, infrastructure, and asset exposure layers in GIS
- Designing spatial flood early warning indicator dashboards for water authority operations centres
- Exporting HEC-RAS water surface profile results to GIS and georeferencing inundation polygons for multi-hazard overlay analysis
- Calculating flood depth-damage relationships and mapping estimated economic loss by infrastructure category within modelled inundation zones
Module 8: Groundwater Potential Mapping and Aquifer Analysis
- Hydrogeological data layers: geology, lineaments, soil types, slope, and recharge zones
- Multi-criteria evaluation (MCE) using weighted overlay analysis for groundwater potential zonation
- Mapping borehole yield data and interpolating groundwater levels using Kriging and IDW methods
- Spatial suitability analysis for new borehole siting and aquifer recharge enhancement interventions
- Extracting and mapping geological lineaments from satellite imagery using directional filters and lineament density analysis as proxies for fractured aquifer zones
- Validating groundwater potential zone maps against existing borehole success rate and yield data to quantify model performance and refine weighting schemes
Module 9: Water Infrastructure Mapping and Network Analysis
- Digitising and attributing water supply networks: pipelines, pump stations, storage tanks, and treatment works
- Network topology analysis: identifying disconnected segments, dead ends, and service coverage gaps
- Spatial demand modelling: overlaying population density and water point locations to estimate service deficits
- Condition scoring and prioritisation of water infrastructure rehabilitation using spatial risk indices
- Building and maintaining a geospatial water infrastructure asset register with standardised attribute schemas aligned to national utility reporting requirements
- Modelling hydraulic service zones and pressure areas using Thiessen polygon and network catchment methods to support operational water distribution planning
Module 10: Drought Monitoring and Water Stress Indexing
- Remote sensing-based drought indices: SPI, PDSI, and VCI derived from satellite vegetation and rainfall data
- Downloading and processing CHIRPS rainfall data for long-term precipitation trend analysis
- Mapping water stress hotspots using multi-temporal NDVI and land surface temperature composites
- Integrating drought spatial outputs with livelihood and food security datasets for humanitarian targeting
- Computing the Standardised Precipitation-Evapotranspiration Index (SPEI) using gridded temperature and rainfall datasets to account for evaporative demand in water stress assessments
- Automating monthly drought monitoring update workflows in QGIS using the Python console and scheduled batch processing of incoming CHIRPS and MODIS data
Module 11: WASH Programme Targeting and Water Access Equity Analysis
- Spatial equity analysis: mapping water point coverage against population distribution and vulnerability indices
- Walking distance and travel time modelling to the nearest functional water source using network analysis
- Identifying underserved communities through overlay of water access, poverty, and health data layers
- Designing evidence-based WASH intervention priority maps for donor proposals and government plans
- Functional water point analysis: mapping non-functional and seasonal sources to disaggregate nominal coverage from actual reliable water access
- Applying gender-disaggregated water collection burden data spatially to identify communities where women and girls bear disproportionate time costs for water fetching
Module 12: Climate Adaptation Planning and Spatial Scenario Analysis
- Downscaling global climate model outputs to basin scale using CORDEX and WorldClim datasets
- Projecting future surface water availability under RCP 4.5 and RCP 8.5 scenarios in GIS
- Spatial multi-hazard assessment: combining flood, drought, and water quality risk layers for adaptation planning
- Developing spatial adaptation investment priority maps aligned with national water security strategies
- Quantifying projected shifts in seasonal rainfall distribution and dry spell frequency to assess implications for reservoir yield and rainfed water harvesting systems
- Engaging stakeholders in participatory scenario mapping workshops to ground-truth modelled spatial outputs against local knowledge of historical water stress patterns
Module 13: Cartographic Communication and Capstone Project Presentation
- Principles of effective cartographic design: layout, legend, colour, scale bar, and north arrow standards for water maps
- Producing publication-quality map outputs and spatial reports in QGIS print layout and ArcGIS Pro
- Structuring spatial water management analysis reports for government, donor, and community audiences
- Capstone project presentations: each participant presents their spatial water analysis findings and receives structured peer and facilitator feedback
- Selecting appropriate map types for different water data communications: choropleth, proportional symbol, graduated colour, and flow maps for sectoral reporting contexts
- Documenting and packaging a reproducible spatial analysis project: organising file geodatabases, writing methodology narratives, and archiving outputs for institutional knowledge retention
Requirements & Prerequisites
Participants should have a working knowledge of water resource management, hydrology, or environmental planning at a professional or technical level. Basic computer literacy and familiarity with spreadsheet applications such as Microsoft Excel are expected. Prior experience with GIS software is helpful but not essential, as the course begins with foundational concepts before progressing to advanced applications.
Training Methodology
- Instructor-led GIS laboratory sessions using QGIS and ArcGIS with guided step-by-step exercises on real watershed datasets
- Hydrological modelling workshops using HEC-RAS and HEC-HMS with structured scenario-based problem sets
- Satellite imagery interpretation exercises using Landsat, Sentinel-2, and MODIS data for surface water and land use mapping
- Group-based watershed delineation and flood mapping projects drawing on African and Middle Eastern case study areas
- Field data integration exercises simulating GPS field collection, borehole data entry, and water point mapping
- Critical review of published spatial water management studies and donor-funded WASH programme maps
- Peer-led map critique sessions where participants present and defend their cartographic outputs
- Individual capstone project in which each participant develops a spatial analysis addressing a water management challenge from their own professional context
- Guest practitioner panels featuring hydrologists and GIS specialists from water utilities and development organisations
- Reflective journaling and peer feedback loops to consolidate technical learning and promote knowledge transfer to participants' home institutions
Organisational Benefits
- Improved accuracy and speed of water resource assessments and planning decisions
- Enhanced capacity to monitor watersheds, aquifers, and water infrastructure using current satellite data
- Better-targeted investment in water infrastructure based on evidence-based spatial analysis
- Strengthened ability to respond to floods, droughts, and water emergencies using spatial early warning tools
- Reduced fieldwork costs through effective use of remote sensing and drone-derived data
- More compelling donor and stakeholder reporting supported by professional-quality maps and spatial evidence
- Greater alignment of water planning with environmental regulations and climate commitments
- Improved inter-agency coordination through shared spatial data standards and platforms
- Strengthened M&E frameworks for WASH and irrigation programmes grounded in spatial indicators
- Organisational capability to attract and deliver spatially informed water sector projects and contracts
Where Is Spatial Data Analysis for Water Management Training Offered?
This course runs in-person across: Nairobi, Johannesburg, Kampala, Kigali, Accra, Dar es Salaam, Naivasha, Pretoria, Abuja, Kisumu, Zanzibar, Arusha, Addis Ababa, Dubai, Nakuru, Mombasa, Riyadh, Lagos, Cape Town, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Nairobi, Kenya |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
KES 230,000 |
| Johannesburg, South Africa |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 7,000 |
| Kampala, Uganda |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 3,800 |
| Kigali, Rwanda |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 3,800 |
| Accra, Ghana |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 7,600 |
| Live Virtual |
Online |
19 Oct 2026 – 28 Oct 2026 |
KES 160,000 |
| Dar es Salaam, Tanzania |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 4,600 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
KES 230,000 |
| Pretoria, South Africa |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 6,600 |
| Abuja, Nigeria |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
USD 5,600 |
| Kisumu, Kenya |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
KES 240,000 |
| Live Virtual |
Online |
24 Oct 2026 – 13 Dec 2026 |
KES 160,000 |
| Zanzibar, Tanzania |
In-Person |
26 Oct 2026 – 4 Nov 2026 |
USD 5,000 |
| Arusha, Tanzania |
In-Person |
26 Oct 2026 – 6 Nov 2026 |
USD 4,200 |
| Addis Ababa, Ethiopia |
In-Person |
26 Oct 2026 – 6 Nov 2026 |
USD 4,800 |
+233 more dates — view live schedule →
Frequently Asked Questions
Do I need prior GIS experience to attend this course?
Prior GIS experience is helpful but not required. The course begins with foundational GIS concepts and software navigation before progressing to advanced hydrological and remote sensing applications, so participants with a water sector background but limited GIS exposure will be well supported.
Which software will be used during the training?
The course primarily uses QGIS (open-source) and introduces ArcGIS for comparative workflows. Hydrological modelling sessions use HEC-HMS and HEC-RAS, both freely available from the US Army Corps of Engineers. Participants should bring a laptop meeting minimum specifications that will be shared in the pre-course communication.
Will I receive a certificate at the end of the course?
Yes. Participants who attend the full 10-day programme and complete the capstone project will receive a TrainingComplex Certificate of Completion in Spatial Data Analysis for Water Management, which can be used for professional development records and CPD portfolios.
Is this course suitable for participants from outside the water sector?
The course is designed specifically for professionals with a background in water resource management, hydrology, environmental planning, or WASH programming. Participants from adjacent fields such as agricultural engineering or climate adaptation are welcome, provided they have relevant professional experience with environmental or infrastructure data.
Can my organisation send a group of participants and request a customised focus?
Absolutely. TrainingComplex offers group enrolment discounts and can tailor the case study datasets, sector examples, and modelling scenarios to match your organisation's geographic context or specific water management mandate. Contact our training coordinators to discuss a customised cohort arrangement.
