💻 Software & Environment Setup
Environmental Science & Sustainability
The computational toolchain and environment used throughout Augmented Reality for Environmental Education and Awareness.
Augmented reality environmental education courseAugmented reality environmental education online trainingBest augmented reality environmental education certificationAugmented reality environmental education for researchersAugmented reality environmental education hands-on workshopLearn augmented reality environmental education
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install xarray rasterio geopandas earthengine-apiGoogle Earth Engine
Planetary-scale geospatial analysis
Planetary-scale geospatial analysis
QGIS
Open-source GIS & mapping
Open-source GIS & mapping
xarray / rasterio
Gridded climate & raster data
Gridded climate & raster data
OpenLCA
Life-cycle assessment modelling
Life-cycle assessment modelling
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in Augmented Reality for Environmental Education and Awareness
e-Certificate and e-Marksheet issued on successful completion.
