Monitoring, analyzing, processing

• Agriculture and food security monitoring using Sentinel-2 data in JupyterLab on CopPhil
  • Prerequisites
  • What We Are Going To Do
  • Search for Sentinel-2 L2A products
  • Visualize data
  • Summary
  • What To Do Next
• Air quality using Sentinel-5P data in JupyterLab on CopPhil
  • Prerequisites
  • What We Are Going To Do
  • Prepare your environment
  • Search for Sentinel-5P products
  • Download data
  • Using HARP - Atmospheric Toolbox
  • Visualization
  • What To Do Next
• Urban heat island monitoring using Sentinel-3 data in JupyterLab on CopPhil
  • Prerequisites
  • What We Are Going To Cover
  • Prepare your environment
  • Search for the Sentinel-3 L2A products
  • Download data
  • Visualization
  • Find barangays which are the most threaten by urban heat island
  • Summary
  • What To Do Next
• Using Sentinel-2 images to monitor mouth of the river Pampanga and Pampanga-Bay in JupyterLab on CopPhil
  • Prerequisites
  • What We Are Going To Do
  • Prepare your environment
  • Search for Sentinel-2 L2A products
  • Download data
  • Calculating NDWI
  • Visualization
  • Summary
  • What To Do Next
• Time series analysis of nitrogen dioxide pollution in Manila using Sentinel-5P data in JupyterLab on CopPhil
  • Prerequisites
  • Prepare your environment
  • Connect with s3 storage - eodata
  • Search for Sentinel-5P products
  • Create list of paths
  • Using HARP - Atmospheric Toolbox
  • Temporal variations in NO₂ levels in Manila - set of maps
  • Temporal variations in NO₂ levels in Manila - charts
  • Temporal variations in NO₂ levels in Manila - year to year
  • Summary