World Food Programme Data Pipelines¶
Food Security
Natural hazards and conflict are some of the primary drivers of the requirements in humanitarian assistance that WFP has to fulfill. Fast and accurate information on the extent and severity of the impact of natural hazards is a fundamental input to WFP response planning. Early warning of drought conditions, its extent and magnitude has become an essential analytical requirement for WFP. More recently, the analysis of land cover changes has received increasing attention given the information it can provide for a range of WP activities - these are mainly concerned with detection of conflict impacts on cropland extent and infra-structure and with the analysis and verification of the long term outcomes of WFP interventions on resilience enhancing community asset building. Earth Observation data can provide invaluable information to satisfy these requirements, provided the data can be accessed in a timely way and relevant user tailored information efficiently extracted.
The proposed challenges address the provision of EO data tailored to the analysis of natural hazards and to the analysis of changes in land cover relevant to humanitarian response and planning.
About the World Food Programme
The World Food Programme is the food-assistance branch of the United Nations and the world’s largest humanitarian organization addressing hunger and promoting food security.
- WFP-01-01-01 Sentinel-1 backscatter timeseries
- Design
- Application
- Exploitation
- better-wfp-00001 data pipeline results (Sentinel-1 backscatter time-series selected polarization): metadata loading and exporting (pickle file)
- better-wfp-00001 data pipeline results (Sentinel-1 backscatter time-sries selected polarization): loading from pickle file and exploiting
- Operations
- WFP-01-01-02 Sentinel-1 coherence timeseries
- Design
- Application
- Exploitation
- better-wfp-00002 data pipeline results (Sentinel-1 Coherence timeseries): metadata loading and exporting (pickle file)
- better-wfp-00002 data pipeline results (Sentinel-1 Coherence timeseries): loading from pickle file and exploiting
- Operations
- WFP-01-02-01 Sentinel-2 reflectances and vegetation indices
- Design
- Application
- Exploitation
- better-wfp-00003 data pipeline results (Sentinel-2 reflectances and vegetation indices) : metadata loading and exporting (pickle file)
- better-wfp-00003 data pipeline results (Sentinel-2 reflectances and vegetation indices): loading from pickle file and exploiting
- Operations
- Triggers
- Coordinators
- Coordinator 4 - better-wfp-00003-queue for WFP-01-02-01 over Afghanistan
- Coordinator 3 - better-wfp-00003-queue for WFP-01-02-01 over Mali
- Coordinator 1 - better-wfp-00003-queue for WFP-01-02-01 over Niger
- Coordinator 2 - better-wfp-00003-queue for WFP-01-02-01 over Tajikistan
- Coordinator - better-wfp-00003 pipe
- configuration.ipynb
- WFP-01-02-02 Landsat-8 reflectances and vegetation indices
- Design
- Application
- Exploitation
- better-wfp-00004 data pipeline results (Landsat 8 reflectances and vegetation indices): metadata loading and saving (pickle file)
- better-wfp-00004 data pipeline results (Landsat 8 reflectances and vegetation indices) : metadata loading from pickle file and results exploiting
- Operations
- Triggers
- Coordinators
- Coordinator - better-wfp-00004-queue-ss for WFP-01-02-02 over Afghanistan
- Coordinator - better-wfp-00004-queue for WFP-01-02-02 over Afghanistan
- Coordinator - better-wfp-00004-queue-ss for WFP-01-02-02 over Mali
- Coordinator - better-wfp-00004-queue for WFP-01-02-02 over Mali
- Coordinator - better-wfp-00004-queue-ss for WFP-01-02-02 over Niger
- Coordinator - better-wfp-00004-queue for WFP-01-02-02 over Niger
- Coordinator - better-wfp-00004-queue-ss for WFP-01-02-02 over Tajikistan
- Coordinator - better-wfp-00004-queue for WFP-01-02-02 over Tajikistan
- Coordinator - better-wfp-00004 pipe
- Configuration
- WFP-01-02-03 Sentinel-1 Sigma-0 backscatter all polarization
- Design
- Application
- Exploitation
- better-wfp-00005 data pipeline results (Sentinel-1 Sigma-0 backscatter all polarization): metadata loading and exporting (pickle file)
- better-wfp-00005 data pipeline results (Sentinel-1 Sigma-0 backscatter all polarization): loading from pickle file and exploiting
- Operations
- WFP-01-03-01 COPERNICUS Vegetation Indicators - Aggregations
- Design
- Application
- WFP-01-03-01 Build the data transformation application for the Production Centre - COPERNICUS Vegetation Indicators - Aggregations and Anomalies
- WFP-01-03-01 Deploy the application on the Production Centre - COPERNICUS Vegetation Indicators - Aggregations and Anomalies
- WFP-01-03-01 Data transformation application - COPERNICUS Vegetation Indicators - Aggregations and Anomalies
- Exploitation
- better-wfp-00006 data pipeline results (COPERNICUS Vegetation Indicators Aggregations): metadata loading and exporting (pickle file)
- better-wfp-00006 data pipeline results (COPERNICUS Vegetation Indicators Aggregations): loading from pickle file and exploiting
- Operations
- WFP-01-03-02 CHIRPS Rainfall Estimates (RFE) - Aggregations
- Design
- Application
- WFP-01-03-02 Build the data transformation application for the Production Centre - CHIRPS Rainfall Estimates (RFE) - Aggregations and Anomalies
- WFP-01-03-02 Deploy the application on the Production Centre - CHIRPS Rainfall Estimates (RFE) - Aggregations and Anomalies
- WFP-01-03-02 Data transformation application - CHIRPS Rainfall Estimates (RFE) - Aggregations and Anomalies
- Exploitation
- better-wfp-00007 data pipeline results (CHIRPS Rainfall Estimates Aggregations): metadata loading and exporting (pickle file)
- better-wfp-00007 data pipeline results (CHIRPS Rainfall Estimates Aggregations): loading from pickle file and exploiting
- Operations
- WFP-01-03-03 MODIS Terra Land Surface Temperature (LST) - Aggregations