QGIS

Load satellite imagery and forest inventory data into QGIS.

Perform image classification to identify forest cover changes.

Create a map highlighting deforested areas.

Calculate the extent of deforestation over time.

Generate reports and visualizations for stakeholders.

Load street network, population density, and points of interest data into QGIS.

Perform network analysis to calculate accessibility from different locations.

Identify areas with high population density and poor accessibility to public transport.

Evaluate potential locations for new bus stops based on accessibility and demand.

Create a map showcasing the recommended locations.

Load wind speed data, terrain data, and environmental constraints data into QGIS.

Perform spatial analysis to identify areas with high wind potential and minimal environmental impact.

Evaluate the suitability of potential sites based on technical and economic factors.

Create a map highlighting the recommended sites for wind energy development.

Generate reports and visualizations for investors and policymakers.

Load multi-spectral imagery of a farm field into QGIS.

Calculate vegetation indices (e.g., NDVI) to assess crop health.

Create a map showing the spatial distribution of crop health.

Identify areas with low crop health that require attention.

Generate prescription maps for variable-rate fertilizer application.

Load pre- and post-flood satellite imagery into QGIS.

Perform image classification to identify flooded areas.

Overlay flood extent with building footprints and infrastructure data.

Estimate the number of affected buildings and people.

Create a map showing the extent of flood damage for emergency responders.