a

b

c

Contents:

• DIAS for CAP Checks by Monitoring
  • Copernicus Application Ready Data (CARD)
  • Time series extraction
  • Data access and analytics
  • Differences with SEN4CAP
  • Expertise required
• VM configuration
  • Access and configuration for DIAS virtual machine instances.
• Software Installation.
  • Docker (Ubuntu 18.04)
  • PostGIS
  • Jupyter (Optional)
• Data preparation
  • Adding shapefiles (.shp) to PostGIS database
  • Transfer metadata from the DIAS catalog
  • Benchmarking data formats for fast image processing
• Parcel extraction
  • Overview
  • Implementation details
  • Configuration files
  • Run with docker
  • Parallelization with docker swarm
  • Caveats
  • Backing up the database
• Machine learning
  • Introduction
  • Data preparation
  • Running the training and testing
  • Checking the results
  • Next steps
• Python library cbm.
  • cbm - Configuration file
  • cbm.api
  • cbm.card2db
  • cbm.extraction
  • cbm.foi
  • cbm.qa
  • cbm.ipycbm
• FOI Assessment

API:

• Build a RESTful API for CbM.
  • Prerequisites
  • Create RESTful API users
  • Database configuration
  • Deploy the RESTful API docker container
  • Important notes
• API Time series
  • Current queries
  • Simple python client to consume parcelTimeSeries response
• API image chips
  • chipByLocation
  • backgroundByLocation
  • rawChipByLocation
  • Example client code.
  • Quiz question
• API analytics
  • parcel selection
  • time series statistics
  • histogram analysis, clustering
  • …
• API POST
  • rawChipsBatch
  • Example test script
  • rawS1ChipsBatch

Indices and tables

• Index

• Module Index

• Search Page