Mapping Renewable Energy Potential Using GIS | Solar & Wind Farm Site Selection

Renewable energy is not just about building solar panels and wind turbines—it’s about putting them in the right place. In this video, we explore how geospatial analysis, GIS, and satellite data are used to identify the most suitable locations for solar and wind farm development. Learn how factors like solar radiation, wind speed, terrain, land use, and infrastructure are combined to map renewable energy potential with scientific precision. Using remote sensing datasets, digital elevation models (DEM), and multi-criteria decision analysis (MCDA), energy planners and researchers can reduce costs, minimize environmental impact, and maximize energy production. This video breaks down the full GIS-based renewable energy site selection workflow, making it easy to understand for students, professionals, and policymakers. Whether you are studying GIS, environmental science, renewable energy, urban planning, or working on sustainable development projects, this video shows how spatial data drives modern energy decisions. These techniques are widely used by governments, researchers, and renewable energy developers worldwide. #RenewableEnergy #GIS #GeospatialAnalysis #SolarEnergy #WindEnergy #RemoteSensing #SustainableEnergy #EnergyPlanning #ClimateAction #SpatialAnalysis #MCDA #GIScience #EarthObservation #EnvironmentalGIS 👍 Like the video if you found it useful 📌 Subscribe for more GIS and remote sensing tutorials 💬 Comment if you want a step-by-step solar or wind suitability analysis tutorial