Sentinel Hub

Step 1: Access Sentinel-2 imagery through Sentinel Hub.

Step 2: Calculate vegetation indices (e.g., NDVI) to assess crop health.

Step 3: Analyze time-series data to identify areas of stress or deficiency.

Step 4: Integrate insights into farm management systems for targeted interventions.

Step 1: Access Landsat imagery through Sentinel Hub.

Step 2: Compare imagery from different time periods to identify areas of forest loss.

Step 3: Use change detection algorithms to automate the process.

Step 4: Alert authorities to potential illegal logging activities.

Step 1: Access Sentinel-2 and Landsat imagery.

Step 2: Classify land cover types using machine learning algorithms.

Step 3: Analyze changes in land cover over time.

Step 4: Identify areas of urban sprawl and infrastructure development.

Step 1: Access Sentinel-3 OLCI imagery.

Step 2: Apply algorithms to estimate water quality parameters.

Step 3: Monitor changes in water quality over time.

Step 4: Identify potential pollution sources and impacts.

Step 1: Access pre- and post-disaster satellite imagery.

Step 2: Use change detection algorithms to identify damaged areas.

Step 3: Create damage maps to support rescue and relief efforts.

Step 4: Estimate the number of affected people and infrastructure.