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Professional Geospatial Training

Practical Geospatial Training for Real-World Applications

Intensive 7-day professional training in GIS, Remote Sensing, Earth Observation and Geospatial AI for students, researchers, professionals and organisations. Courses emphasise practical problem solving, spatial analysis and data-driven decision making across multiple disciplines.

7 Days Course Duration
₦50,000 / ₹5,000 Per Participant
5–10 Participants per Cohort
Certificate Provided on Completion
Training Tools
Google Earth Engine Google Colab GitHub R
Training Area 01

GIS, Remote Sensing & Geospatial Computing Foundations

Core training in GIS, Remote Sensing, Google Earth Engine, Google Colab, spatial visualisation and practical geospatial project development.

7 Courses
01

Basics of GIS and Remote Sensing

Foundation course in GIS, spatial data, mapping and Remote Sensing concepts.

02

Google Earth Engine for Beginners

Introduction to cloud-based Earth observation and geospatial analysis with Google Earth Engine.

03

Python for Geospatial Data Analysis using Google Colab

Practical geospatial data processing and analysis in a cloud-based Python environment.

04

Spatial Data Visualization and Web Mapping

Present spatial information through effective maps, visualisation and web-based communication.

05

Advanced Google Earth Engine Applications

Advanced workflows for large-scale Earth observation and geospatial analysis.

06

Remote Sensing Image Processing

Practical processing, enhancement and interpretation of remotely sensed imagery.

07

Geospatial Project Development using Google Earth Engine and Google Colab

Develop complete applied geospatial projects integrating cloud analysis and reproducible workflows.

Training Area 02

Agriculture, Crop Monitoring & Site Suitability

Applied geospatial training for agricultural monitoring, crop assessment, precision agriculture and data-driven site suitability analysis.

4 Courses
01

GIS and Remote Sensing Applications in Agriculture

Apply GIS and Earth observation techniques to agricultural monitoring, planning, crop assessment and resource management.

02

Geospatial Techniques for Site Suitability Analysis

Evaluate land suitability using spatial criteria, environmental variables and geospatial decision-support techniques.

03

Precision Agriculture using GIS and Remote Sensing

Use satellite observations and spatial information to support precision farming, field assessment and agricultural management.

04

Crop Monitoring using Satellite Remote Sensing

Monitor vegetation and crop conditions using satellite imagery, spectral information and Earth observation time-series.

Training Area 03

Climate, Environment, Ecosystems & Conservation

Practical geospatial training for climate analysis, environmental monitoring, land-cover assessment, carbon, forests, wetlands, biodiversity and ecosystem conservation.

8 Courses
01

GIS and Remote Sensing for Climate Data Analysis

Analyse climate variables, spatial patterns and environmental change using geospatial methods.

02

Climate Change Impact Assessment using Geospatial Techniques

Assess climate-related environmental impacts through spatial data, Earth observation and applied geospatial analysis.

03

Environmental Monitoring using Google Earth Engine

Use cloud-based Earth observation for monitoring environmental conditions and landscape change.

04

Land Use and Land Cover Mapping using Google Earth Engine

Map and analyse land-use and land-cover patterns using satellite imagery and cloud processing.

05

Carbon Monitoring and Ecosystem Assessment

Apply geospatial techniques to carbon assessment, ecosystem condition and environmental monitoring.

06

Forest Monitoring and Deforestation Analysis

Monitor forest cover, vegetation change and deforestation using satellite observations.

07

Wetland Mapping and Conservation

Identify, map and assess wetlands using geospatial data and Earth observation techniques.

08

Biodiversity Mapping and Habitat Assessment

Use spatial information to assess habitats, biodiversity patterns and conservation priorities.

Training Area 05

Public Health & Spatial Epidemiology

Practical geospatial training for public-health planning, disease mapping, spatial epidemiology, health-facility accessibility and environmental health assessment.

5 Courses
01

Geospatial Techniques for Public Health Planning and Management

Apply spatial analysis and Earth observation to public-health planning, service provision and evidence-based decision making.

02

Disease Mapping and Spatial Epidemiology

Analyse geographic patterns of disease, spatial clustering and population-level health variation.

03

Health Facility Accessibility Analysis using GIS

Assess geographic access to healthcare facilities using population, distance, network and spatial accessibility methods.

04

Environmental Health Risk Assessment

Integrate environmental and spatial information to identify areas of potential health risk and population exposure.

05

GIS for Health Research

Use GIS and spatial data within health research for mapping, analysis, interpretation and presentation of geographic evidence.

Training Area 07

Mass Communication, Journalism & Digital Geospatial Media

Practical training for journalists, communication professionals and digital-media practitioners in location-based reporting, GIS, spatial storytelling, interactive mapping and geospatial communication.

4 Courses
01

GIS and Remote Sensing for Mass Communication

Use maps, satellite imagery and location-based evidence to strengthen reporting, communication and public understanding.

02

Data Journalism using GIS

Combine geographic data, spatial analysis and mapping with journalism to develop evidence-based news and analytical stories.

03

Story Maps and Interactive Geospatial Communication

Develop engaging map-based narratives and interactive spatial presentations for communication and public engagement.

04

Location Intelligence for Digital Media

Apply location-based information and spatial analysis to digital-media research, audience understanding and communication.

Training Area 08

Urban Planning, Infrastructure, Population & Business Intelligence

Applied geospatial training for urban development, smart cities, transport, infrastructure, population analysis, location intelligence, markets, logistics and real-estate decision making.

9 Courses
01

Urban Planning using GIS

Apply spatial analysis, land-use information and mapping to urban planning and development.

02

Smart Cities and Spatial Analytics

Use geospatial data and spatial analytics to support smart-city planning and urban management.

03

Transportation Planning using GIS

Analyse transport networks, accessibility and spatial patterns for transportation planning.

04

Infrastructure Planning and Asset Management

Use GIS for infrastructure inventories, spatial planning and asset-management workflows.

05

Population Mapping and Urban Growth Analysis

Map population distribution and analyse patterns of urban expansion and growth.

06

Location Intelligence for Business Decision Making

Apply geographic information to business strategy, customer analysis and location-based decisions.

07

Market Analysis using GIS

Analyse markets, geographic demand, customer locations and spatial business opportunities.

08

Supply Chain and Logistics Mapping

Map logistics networks, routes, facilities and spatial relationships within supply chains.

09

Real Estate Site Selection using GIS

Evaluate locations for real-estate development using spatial criteria and suitability analysis.

Training Area 09

Renewable Energy & Power Infrastructure

Applied geospatial training for solar and wind energy assessment, renewable-energy planning, site suitability and spatial analysis of power infrastructure.

4 Courses
01

Solar Energy Site Suitability Analysis

Evaluate solar-energy locations using terrain, solar-resource, accessibility and environmental suitability criteria.

02

Wind Energy Resource Assessment

Analyse wind-resource information, terrain and spatial constraints for renewable-energy assessment.

03

Renewable Energy Planning using GIS

Integrate spatial datasets and suitability criteria to support renewable-energy planning and decision making.

04

Power Infrastructure Mapping

Map and analyse power-generation, transmission and distribution infrastructure using geospatial techniques.

Training Area 10

Research, Spatial Statistics, Machine Learning & Geospatial AI

Advanced professional training in geospatial research methods, spatial statistics, machine learning and artificial intelligence for Earth observation and spatial decision making.

4 Courses
01

Research Methods using GIS and Remote Sensing

Develop geospatial research questions, datasets, analytical workflows and reproducible research outputs.

02

Machine Learning for Geospatial Analysis

Apply machine-learning methods to spatial and Earth observation datasets for prediction, classification and analysis.

03

Artificial Intelligence in Earth Observation

Explore AI-based approaches for analysing satellite observations, environmental patterns and geospatial information.

04

Spatial Statistics for Decision Making

Analyse spatial patterns, relationships and geographic variation using statistical methods for evidence-based decisions.