💻 Software & Environment Setup
Environmental Science & Sustainability
The computational toolchain and environment used throughout Advanced Sensor Networks for Environmental Health Tracking.
Advanced sensor networks environmental courseAdvanced sensor networks environmental online trainingBest advanced sensor networks environmental certificationAdvanced sensor networks environmental for researchersAdvanced sensor networks environmental hands-on workshopLearn advanced sensor networks environmental
# 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 Advanced Sensor Networks for Environmental Health Tracking
e-Certificate and e-Marksheet issued on successful completion.
