Learn how to use Python to access the Copernicus Dataspace Ecosystem, and process and analyze Sentinel-2 imagery The use of remote sensing data is growing, with the need to use such data for many applications ranging from the environment to agriculture, urban…

Learn how to use Python to access the Copernicus Dataspace Ecosystem, and process and analyze Sentinel-2 imagery The use of remote sensing data is growing, with the need to use such data for many applications ranging from the environment to agriculture, urban…

Learn how to map avalanche risk zones using satellite data, terrain analysis, snow cover, and Google Earth Engine (GEE) Avalanches pose serious threats to lives, infrastructure, and ecosystems in mountainous regions around the world. In this course, you’ll…

Learn how to use population data, land cover, road networks, and satellite imagery in GEE to identify optimal bike site In the age of smart cities and sustainable transportation, planning efficient and accessible bike infrastructure is crucial. This course…

Learn how to detect and map crop failure risk using NDVI and rainfall data in Google Earth Engine for agriculture Crop failures due to drought, extreme weather, or land degradation have serious impacts on food security and livelihoods. In this course, you’ll…

Master the use of satellite remote sensing data and Google Earth Engine to analyze, map, and monitor drought risk Drought poses a significant threat to global agriculture, impacting food security, water resources, and livelihoods. This course equips you with…

Fire risk mapping using satellite data and Google Earth Engine for effective environmental monitoring Fire poses a significant threat to ecosystems, property, and human lives worldwide. Effective fire risk mapping is crucial for proactive management and mitigation…

Flood Risk Mapping Using Digital Elevation Model and CHIRPS Data Floods are among the most destructive natural disasters globally, causing significant damage to lives, infrastructure, and economies. Effective flood risk mapping is critical for disaster preparedness…

Industrial Site Suitability Mapping Using Remote Sensing and Google Earth Engine (GEE) The course “Industrial Site Suitability Mapping Using Remote Sensing and GEE” is designed to equip learners with the skills to assess optimal industrial development sites…

Landfill Site Suitability Mapping Using Remote Sensing and Google Earth Engine Landfill site selection is a critical task in environmental management, requiring careful evaluation of multiple geographic and environmental factors. This course offers a comprehensive…

Landslide Risk Mapping Using Remote Sensing and Google Earth Engine Landslides pose significant threats to communities, infrastructure, and ecosystems, making effective risk mapping essential for mitigation and planning. This course offers a comprehensive…

Map and analyze soil erosion risk using remote sensing, GIS, and Google Earth Engine tools. Soil erosion poses a significant threat to agricultural productivity, ecosystem stability, and sustainable land management. Understanding and mapping erosion risk…

Solar Farm Site Selection Using Solar Radiation, Land Cover, DEM, and Google Earth Engine The growing demand for renewable energy sources has made solar power a critical component of sustainable development. This course offers a comprehensive introduction…

Analyzing Urban Growth Potential with Remote Sensing and Google Earth Engine As cities grow, planning future development in a sustainable and data-informed manner is crucial. This course guides you through the process of urban expansion suitability mapping…