+254 721 331 808    training@upskilldevelopment.com

Remote Sensing for Renewable Energy Potential Mapping (Solar, Wind, Hydro) Course

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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
08/06/2026 to 12/06/2026 Nairobi 1,500 USD Register
08/06/2026 to 12/06/2026 Kigali 2,500 USD Register
08/06/2026 to 12/06/2026 Dubai 4,500 USD Register
13/07/2026 to 17/07/2026 Nairobi 1,500 USD Register
13/07/2026 to 17/07/2026 Mombasa 1,750 USD Register
10/08/2026 to 14/08/2026 Nairobi 1,500 USD Register
10/08/2026 to 14/08/2026 Kigali 2,500 USD Register
10/08/2026 to 14/08/2026 Nairobi 2,500 USD Register
14/09/2026 to 18/09/2026 Nairobi 1,500 USD Register
14/09/2026 to 18/09/2026 Mombasa 1,750 USD Register
14/09/2026 to 18/09/2026 Dubai 4,500 USD Register
12/10/2026 to 16/10/2026 Nairobi 1,500 USD Register
12/10/2026 to 16/10/2026 Kigali 2,500 USD Register
09/11/2026 to 13/11/2026 Nairobi 1,500 USD Register
09/11/2026 to 13/11/2026 Mombasa 1,750 USD Register

Course Introduction

Remote sensing has become a transformative tool in the energy sector, enabling professionals and institutions to assess renewable energy potential with accuracy, efficiency, and foresight. As global demand for sustainable energy grows, the ability to map and analyze solar, wind, and hydropower resources using satellite and geospatial technologies is increasingly essential. This course provides in-depth knowledge and hands-on experience in leveraging remote sensing for renewable energy planning and investment decision-making.

The training focuses on integrating geospatial data with renewable energy feasibility assessments. Participants will learn to apply remote sensing technologies in evaluating solar irradiance, wind speed distribution, and hydrological flow to determine the suitability of locations for energy projects. By combining scientific analysis with policy-relevant applications, the course bridges the gap between technical expertise and development impact.

The course emphasizes emerging tools, software, and analytical methods that enable precise mapping of renewable energy resources. Participants will gain exposure to Geographic Information Systems (GIS), remote sensing data interpretation, and advanced modeling techniques tailored to energy potential assessments. These skills will enhance participants’ ability to support national energy strategies, donor programs, and private sector investments.

Renewable energy transitions are crucial in achieving global climate goals, particularly in developing economies that need cost-effective and sustainable solutions. This course provides insights into how remote sensing can be used to identify viable projects, reduce risks, and maximize efficiency in energy investments. The curriculum integrates case studies from around the world, showcasing successful applications of remote sensing in solar, wind, and hydro energy planning.

Participants will also examine the role of data-driven energy mapping in advancing energy access, especially in rural and underserved communities. The training highlights the intersection of technology, climate adaptation, and sustainable development, equipping learners to contribute meaningfully to national and global renewable energy initiatives.

By the end of the course, participants will have developed strong analytical skills, practical competencies in geospatial energy mapping, and the ability to apply remote sensing techniques in renewable energy project design, monitoring, and evaluation. This practical and strategic knowledge will position them to support energy policies, investment opportunities, and community-focused energy solutions.

Who Should Attend

  • Energy sector professionals and engineers working in renewable energy projects
  • GIS and remote sensing specialists seeking to expand into energy applications
  • Policy makers and planners in ministries of energy, environment, and planning
  • Researchers and academics interested in renewable energy resource mapping
  • NGO and development agency staff involved in climate and sustainable energy programs
  • Private sector consultants and investors evaluating renewable energy opportunities

Duration

5 days

Course Objectives

  • Equip participants with knowledge of remote sensing technologies for renewable energy potential mapping.
  • Enable learners to conduct solar energy resource assessments using geospatial and satellite datasets effectively.
  • Develop skills in analyzing wind energy potential by applying remote sensing and GIS-based modeling techniques.
  • Train participants in hydropower resource mapping, with emphasis on river flow, catchment, and water availability.
  • Provide hands-on training on integrating GIS, remote sensing, and field data for energy feasibility assessments.
  • Strengthen capacity to use open-source and commercial software for renewable energy mapping and modeling.
  • Build participants’ ability to design energy maps that inform policy, investment, and sustainable development.
  • Introduce emerging global trends in digital technologies for renewable energy monitoring and forecasting.
  • Enhance skills in interpreting and communicating renewable energy resource maps to decision-makers.
  • Prepare participants to apply remote sensing in advancing climate-smart, low-carbon energy strategies.

Comprehensive Course Outline

Module 1: Introduction to Remote Sensing and Renewable Energy

  • Fundamentals of remote sensing and its role in energy resource assessment
  • Overview of renewable energy resource types: solar, wind, hydro
  • Data sources: satellite imagery, LiDAR, and open-access datasets
  • Policy and investment drivers in renewable energy mapping

Module 2: Solar Energy Potential Mapping

  • Methods of assessing solar irradiance using remote sensing data
  • Tools for solar PV site identification and feasibility studies
  • Case studies of solar mapping initiatives in Africa, Asia, and Latin America
  • Emerging technologies for solar resource monitoring

Module 3: Wind Energy Resource Assessment

  • Remote sensing applications for wind speed and direction mapping
  • GIS-based wind farm site suitability modeling
  • Using remote sensing to complement meteorological station data
  • Global wind mapping projects and lessons learned

Module 4: Hydro Energy Mapping

  • Remote sensing techniques for river flow, catchments, and watershed analysis
  • Identifying small- and large-scale hydropower potential sites
  • Using elevation and terrain data for hydro feasibility studies
  • Climate change considerations in hydro resource mapping

Module 5: GIS Integration for Renewable Energy Planning

  • Combining GIS with remote sensing for multi-energy assessments
  • Spatial data processing for renewable energy resource analysis
  • Energy infrastructure planning using geospatial methods
  • Integrating social, economic, and environmental factors in GIS models

Module 6: Tools and Software for Energy Mapping

  • Open-source tools for renewable energy mapping (QGIS, Google Earth Engine)
  • Commercial software applications and data integration approaches
  • Hands-on exercises in solar, wind, and hydro resource mapping
  • Data accuracy, validation, and limitations in software tools

Module 7: Energy Access and Community-Level Planning

  • Applying remote sensing in rural electrification and off-grid solutions
  • Identifying underserved communities for energy access projects
  • Linking renewable energy mapping with poverty reduction initiatives
  • Case studies on community-driven renewable energy planning

Module 8: Climate Change, Sustainability, and Energy

  • Role of renewable energy mapping in climate mitigation strategies
  • Adaptation strategies through energy diversification
  • Remote sensing in monitoring environmental impacts of energy projects
  • Integration of renewable energy into national adaptation plans

Module 9: Communication and Policy Application of Energy Maps

  • Designing effective renewable energy maps for decision-making
  • Communicating technical data to non-technical audiences
  • Policy briefs and advocacy through geospatial analysis
  • Energy maps as tools for donor and private sector engagement

Module 10: Future Directions and Innovations

  • Artificial Intelligence and Machine Learning in renewable energy mapping
  • Drones and UAV applications in solar, wind, and hydro resource assessments
  • Blockchain and data transparency in renewable energy systems
  • Global best practices and trends shaping the future of energy mapping

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 requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, 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

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
08/06/2026 to 12/06/2026 Nairobi 1,500 USD Register
08/06/2026 to 12/06/2026 Kigali 2,500 USD Register
08/06/2026 to 12/06/2026 Dubai 4,500 USD Register
13/07/2026 to 17/07/2026 Nairobi 1,500 USD Register
13/07/2026 to 17/07/2026 Mombasa 1,750 USD Register
10/08/2026 to 14/08/2026 Nairobi 1,500 USD Register
10/08/2026 to 14/08/2026 Kigali 2,500 USD Register
10/08/2026 to 14/08/2026 Nairobi 2,500 USD Register
14/09/2026 to 18/09/2026 Nairobi 1,500 USD Register
14/09/2026 to 18/09/2026 Mombasa 1,750 USD Register
14/09/2026 to 18/09/2026 Dubai 4,500 USD Register
12/10/2026 to 16/10/2026 Nairobi 1,500 USD Register
12/10/2026 to 16/10/2026 Kigali 2,500 USD Register
09/11/2026 to 13/11/2026 Nairobi 1,500 USD Register
09/11/2026 to 13/11/2026 Mombasa 1,750 USD Register

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