+254 721 331 808    training@upskilldevelopment.com

Remote Sensing for Urban Growth Monitoring Training Course

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Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
03/08/2026 to 07/08/2026 Nairobi 1,500 USD Register
03/08/2026 to 07/08/2026 Kigali 2,500 USD Register
03/08/2026 to 07/08/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Nairobi 1,500 USD Register
07/09/2026 to 11/09/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Dubai 4,900 USD Register
05/10/2026 to 09/10/2026 Nairobi 1,500 USD Register
05/10/2026 to 09/10/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Nairobi 1,500 USD Register
02/11/2026 to 06/11/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Kigali 2,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Mombasa 1,750 USD Register

Course Introduction

Urban areas around the world are expanding at unprecedented rates, driven by population growth, migration, and economic development. This rapid urban expansion creates challenges such as land use conflicts, environmental degradation, and infrastructure pressure.

Remote sensing provides a powerful tool for monitoring urban growth by using satellite imagery, aerial photography, and spatial analysis techniques. It allows researchers and planners to track changes in land cover, built-up areas, and urban sprawl over time.

This course introduces participants to the application of remote sensing in urban growth monitoring, focusing on detecting spatial expansion patterns, mapping land use change, and analyzing urban dynamics using multi-temporal satellite data.

Participants will gain practical skills in processing and interpreting remote sensing data, including classification of urban land cover, change detection techniques, and integration of GIS for spatial urban analysis and planning.

The training also explores advanced technologies such as high-resolution satellite imagery, machine learning for urban classification, time-series analysis, and cloud-based geospatial platforms for real-time urban monitoring.

By the end of the course, participants will be able to apply remote sensing techniques to effectively monitor, analyze, and interpret urban growth trends for sustainable urban planning and decision-making.

Duration

5 days

Who Should Attend

  • Urban and regional planners involved in city development and spatial planning
  • GIS and remote sensing analysts working on urban studies and land use mapping
  • Environmental planners assessing urban expansion impacts on ecosystems
  • Government officials in housing, infrastructure, and urban development sectors
  • Transportation planners analyzing urban mobility and spatial expansion
  • Researchers and academics in urban geography and spatial sciences
  • Surveyors and mapping professionals involved in land use monitoring
  • Real estate and property development analysts studying urban growth trends
  • Disaster risk management specialists assessing urban vulnerability
  • Smart city and urban innovation project managers
  • Civil engineers working on infrastructure planning in urban areas
  • Data scientists working with geospatial urban datasets
  • NGO professionals involved in urban sustainability projects
  • Climate change analysts studying urban heat islands and expansion impacts
  • Students in urban planning, geography, GIS, and environmental sciences

Course Objectives

  • Provide comprehensive understanding of remote sensing applications in monitoring urban growth and spatial expansion patterns effectively.
  • Enable participants to analyze urban land use change using multi-temporal satellite imagery and geospatial data systems.
  • Develop skills in processing and interpreting high-resolution remote sensing data for urban analysis and planning purposes.
  • Strengthen ability to detect and quantify urban sprawl using spatial analysis and change detection techniques.
  • Build competency in integrating GIS and remote sensing data for comprehensive urban growth assessment systems.
  • Enhance understanding of urban land cover classification methods using advanced remote sensing techniques and tools.
  • Introduce machine learning and AI-based approaches for automated urban feature extraction and classification.
  • Equip participants with skills to use time-series analysis for tracking long-term urban development trends.
  • Improve capacity to support sustainable urban planning through spatial data-driven decision-making systems.
  • Enable participants to utilize cloud-based geospatial platforms for scalable and efficient urban monitoring applications.

Course Outline

Module 1: Introduction to Urban Remote Sensing

  • Understanding urban growth processes and spatial expansion dynamics in modern cities
  • Overview of remote sensing applications in urban monitoring and land use analysis
  • Role of satellite imagery in detecting urban development patterns over time
  • Importance of geospatial technologies in urban planning and decision-making

Module 2: Satellite Data for Urban Analysis

  • Types of satellite imagery used in urban growth monitoring and spatial analysis
  • Acquiring and processing multi-resolution remote sensing datasets for urban studies
  • Understanding spectral properties of urban land cover features
  • Integrating satellite data into GIS platforms for urban analysis

Module 3: Urban Land Use and Land Cover Classification

  • Classifying urban land cover using remote sensing image processing techniques
  • Identifying built-up areas, vegetation, and open spaces in urban environments
  • Supervised and unsupervised classification methods for urban mapping
  • Accuracy assessment of urban classification outputs

Module 4: Change Detection Techniques

  • Detecting urban expansion using multi-temporal satellite imagery analysis
  • Identifying land use transitions and spatial growth patterns
  • Post-classification and image differencing techniques for change detection
  • Evaluating urban sprawl using remote sensing datasets

Module 5: Urban Sprawl Analysis

  • Measuring urban sprawl using spatial metrics and remote sensing data
  • Identifying patterns of compact and dispersed urban growth
  • Assessing environmental impacts of uncontrolled urban expansion
  • Supporting sustainable urban growth planning using spatial data

Module 6: GIS Integration for Urban Studies

  • Integrating remote sensing data with GIS for urban spatial analysis
  • Creating urban growth models using geospatial datasets
  • Developing thematic maps for urban planning applications
  • Supporting urban decision-making using GIS tools

Module 7: Time-Series Urban Analysis

  • Analyzing long-term urban growth trends using satellite data archives
  • Monitoring seasonal and annual urban expansion patterns
  • Using temporal datasets for predictive urban modeling
  • Supporting policy development through historical urban analysis

Module 8: Machine Learning in Urban Remote Sensing

  • Applying AI and machine learning for urban land cover classification
  • Automating feature extraction from satellite imagery
  • Improving accuracy of urban mapping using deep learning methods
  • Supporting intelligent urban monitoring systems

Module 9: Smart Cities and Urban Monitoring

  • Role of remote sensing in smart city development and planning systems
  • Real-time urban monitoring using cloud-based geospatial platforms
  • Integrating IoT and spatial data for urban management systems
  • Supporting sustainable smart city infrastructure development

Module 10: Emerging Trends in Urban Remote Sensing

  • Use of high-resolution satellites for detailed urban mapping applications
  • Drone-based urban monitoring and spatial data collection techniques
  • Big data analytics in urban growth prediction systems
  • Future trends in geospatial technologies for urban sustainability

Training Approach          

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
03/08/2026 to 07/08/2026 Nairobi 1,500 USD Register
03/08/2026 to 07/08/2026 Kigali 2,500 USD Register
03/08/2026 to 07/08/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Nairobi 1,500 USD Register
07/09/2026 to 11/09/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Dubai 4,900 USD Register
05/10/2026 to 09/10/2026 Nairobi 1,500 USD Register
05/10/2026 to 09/10/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Nairobi 1,500 USD Register
02/11/2026 to 06/11/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Kigali 2,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Mombasa 1,750 USD Register

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